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MongoDB Enterprise Advanced in Google Distributed Cloud Hosted

Today, we’re excited to strengthen our "run anywhere" approach and deepen our relationship with Google Cloud by announcing that MongoDB Enterprise Advanced is now available for use within Google Distributed Cloud Hosted (GDC Hosted). "Google Cloud is happy to welcome MongoDB as a preferred partner for our Google Distributed Cloud Hosted product," said Rohan Grover, Director of Product for GDC Hosted. "MongoDB's powerful document database aligns with our data analytics focus, empowering our shared customers to unlock the full potential of their sensitive data in an air-gapped private cloud." GDC Hosted is Google Cloud’s air-gapped private cloud that does not require connectivity to Google Cloud or the public internet to manage the infrastructure, services, APIs, or tooling. GDC Hosted enables public sector organizations and regulated enterprises to address strict data residency and security requirements, while continuing to deliver innovation to their users. MongoDB Enterprise Advanced combines the power of MongoDB —– the leading NoSQL, document-oriented database that supports a variety of data structures — with an industry-leading offering catering to customers with the most advanced security and data sovereignty needs. As a flexible and scalable solution, MongoDB allows diverse datasets to be stored in a schemaless format, ensuring easy data manipulation and real-time analytics. Together, GDC Hosted and MongoDB Enterprise Advanced offer a solution that enables users to scale their operations while adhering to the strictest data governance and security standards. The bridge between GDC Hosted and MongoDB Enterprise Advanced is Kubernetes : GDC Hosted is built on Kubernetes allowing teams to self-manage MongoDB through the use of the MongoDB Enterprise Kubernetes Operator. The MongoDB Enterprise Kubernetes Operator is the only officially supported way to run Enterprise Advanced deployments of MongoDB in Kubernetes. To enable customers to manage deployments within their environment of choice (GDC Hosted in this case), the operator works in conjunction with the MongoDB self-hosted Ops Manager, which the operator can also install and manage in Kubernetes. This gives customers the ability to deploy, monitor, back up, and scale MongoDB. The Enterprise Operator drastically simplifies both the setup and day-two operations like upgrades, making it possible to run MongoDB in Kubernetes with far less Kubernetes expertise. Creation and configuration of database deployments can be managed via a Git repo, saving developers from needing the permissions or knowledge needed to work directly with Kubernetes. By leveraging the Enterprise Kubernetes Operator, users can manage their MongoDB deployments with even greater power and scale, and maximize their investment in both MongoDB and Google Cloud. GDC Hosted is built to meet high regulatory, durability, and availability requirements, which aligns with MongoDB Enterprise Advanced’s commitment to giving users the tools and support they need to have complete control over the management and security of their self-managed MongoDB environments. While MongoDB Atlas is the best way to run MongoDB on Google Cloud, MongoDB Enterprise Advanced in GDC Hosted is the best option for teams that need absolute self-managed control over data governance and compliance, while still allowing for scalability. Once you have GDC Hosted up and running, you can get started with MongoDB Enterprise Advanced through the MongoDB Enterprise Advanced listing in the GDC Hosted Marketplace. Alternatively, teams can access MongoDB Enterprise Advanced through the Google Cloud Platforms Marketplace. MongoDB customers who want to get started using Enterprise Advanced in their GDC Hosted environments will need to sign up for a MongoDB Enterprise Advanced license through MongoDB first. For more information, reach out to gcp@mongodb.com . To learn more about the Enterprise Kubernetes Operator, visit our documentation . To learn more about Enterprise Advanced, visit our product page or download the latest version .

February 6, 2024
News

MongoDB Announces 2023 William Zola Award for Community Excellence Recipient

We are thrilled to announce that MongoDB community member Chris Dellaway is the 2023 recipient of MongoDB's prestigious William Zola Award for Community Excellence. Each year, the William Zola Award for Community Excellence recognizes an outstanding community contributor who embodies the legacy of William Zola, a lead technical services engineer at MongoDB who passed away unexpectedly in 2014. Zola had an unwavering commitment to user success, believing deeply in understanding and catering to users' emotions while resolving their technical problems. His philosophy is a guiding force for MongoDB's community to this day. Chris Dellaway has been a cornerstone of our vibrant community for years, having joined our community forum as a founding member in 2020 and quickly becoming a Forum Elder that year and a Community Champion in 2021. With his certifications as a MongoDB Associate DBA and Developer, Chris has become a trusted resource and mentor for countless community members. In 2023, Chris continued to go above and beyond, demonstrating unmatched engagement and support for the MongoDB community. His exceptional expertise has been a valuable resource for countless members, helping them accelerate their growth and knowledge of MongoDB's technology. With 485 insightful responses to community forum questions, he provided support to 414,000 users. In fact, his contributions were so well-received that he garnered 300 likes and had 50 of his posts marked as valuable solutions for other developers. Chris not only shares his wealth of knowledge, but he also supports his fellow forum members by reviewing their responses and providing constant encouragement. In 2023 alone, Chris gave over 320 uplifting likes to different community posts. There are many examples of Chris’s extraordinary support in the community. Here are some highlights: Helped a community member solve a mongorestore corruption error issue Shared details on mirrored reads to help clarify a community user's understanding Explained one of the differences between Date() and new Date() with a working code snippet example Chris's dedication to the community doesn't stop there. He also took it upon himself to launch and lead the Toronto MongoDB User Group (MUG) , bringing his community support to a local level. Thanks to his leadership, the Toronto MUG has flourished and formed an in-person community. It's clear that Chris's commitment to fostering a thriving community extends beyond the virtual realm, making him a truly exceptional leader. Chris embodies the spirit of community and we are honored to have him as a member. What better way to celebrate Chris’s incredible influence than by sharing insights from his own peers within the community? “Whenever I see a reply from Chris I jump right there to read it. I know that most of the time I will learn something. Often the concise replies link to supporting documentation. Always a joy to read, even when he corrects me.” - Steeve Juneau "Chris exemplifies the champion spirit in that he comes forward graciously with rad tech chops to guide the perplexed and further posts his heart-emoji of approval on correct answers posted by other forum Contributors." - Jack Woehr "Chris is a powerhouse in the MongoDB community, and his dedication to championing MongoDB is evident. His deep knowledge and expertise in MongoDB have been instrumental in driving key initiatives and organizing workshops and events at the Toronto MUG. Chris's enlightening personality and positive attitude make everyone feel welcome, regardless of their level of experience with MongoDB." - Grace Gong “Chris embodies what community excellence is all about. He shares his deep MongoDB knowledge and experience to help other people in the community solve their issues and learn more. It's this kind of generosity backed by excellence that makes his contributions so impactful to so many” - Nuri Halperin To learn more about the MongoDB Community, please visit the MongoDB Community homepage .

January 25, 2024
News

MongoDB Security Incident Post Event Summary, January 23, 2024

MongoDB first informed customers in an alert posted on December 16, 2023 at 3:00pm EST that it was actively investigating a security incident involving unauthorized access to certain MongoDB corporate systems, which included exposure of customer account metadata and contact information. MongoDB posted updated information on www.mongodb.com/alerts as we continued to investigate the matter, notifying customers that our investigation was complete and closed in a post on January 3, 2024 at 5:00pm EST. During the investigation, we were able to confirm that the unauthorized party never had access to any MongoDB clusters – either on-premises or in MongoDB Atlas – and never penetrated the Atlas cluster authentication system. As a reminder, MongoDB Atlas cluster access is authenticated via a separate system from MongoDB corporate systems. On October 6, 2023, at approximately 11:45:00 UTC, a previously unknown flaw in a third-party application used by MongoDB staff enabled an unauthorized party to successfully phish and acquire the Single Sign-On (“SSO”) credentials and a corresponding Time-based One-Time Password (“TOTP”) from a MongoDB employee. The unauthorized party executed an Adversary-in-the-Middle (AitM) attack and used the credentials acquired from the phishing attack to access data in certain corporate applications. As described in our previous alerts and blog , this included access to corporate applications containing certain customer contact information and metadata. Within twenty-four hours after the initial intrusion on October 6, 2023, MongoDB’s standard session limits kicked in, and the unauthorized party lost access to our corporate applications, except for our corporate messaging application. Between December 12 and December 14, 2023, the unauthorized party used their access to the corporate messaging application to send additional targeted phishing messages to MongoDB employees from the initially compromised user account, which enabled them to regain access to MongoDB corporate applications for a limited time. On December 14, a MongoDB employee identified the fraudulent phishing messages sent by the unauthorized party in our corporate messaging application and notified the MongoDB security team. The MongoDB security team immediately enacted its incident response plan. MongoDB's investigation focused on determining the timeline of the event, the initial infection vector, and the number of impacted employees. With that information, MongoDB and our third-party forensics firm examined logs for all systems the attacker accessed and used this information to understand the breadth of the event. MongoDB took the following actions: Disabled the functionality in the third-party application that contained the flaw abused by the unauthorized party; Reset the credentials of all known and suspected compromised user accounts; Cleared active sessions of all known and suspected compromised user accounts; Examined the environment to fully understand the breadth and depth of the unauthorized party’s activity and to extract indicators of compromise; and, On an ongoing basis, we’re continuing to review and harden our security posture, including developing additional monitoring and alerts. We also strengthened our phishing-resistant, multi-factor authentication policies and continue to reiterate that customers should enforce phishing-resistant MFA, regularly rotate passwords, and remain vigilant for social engineering attacks. MongoDB’s investigation is complete and closed. Together with our third-party forensic experts, we can confirm that the unauthorized party no longer has access to our environment.

January 23, 2024
News

10,000 SI Certifications and Counting: MongoDB and System Integrator Partners Reach Major Milestone Supporting GenAI Initiatives

Today, tens of thousands of customers trust MongoDB with their businesses’ most critical workloads, while MongoDB’s system integrator (SI) partner technologies and services play a critical role in their ability to innovate. Customers rely on global and regional SIs to help get the most out of MongoDB and quickly build sophisticated applications. In late 2022, as VP of global system integrator and consulting partners at MongoDB, I led the team that launched our System Integrators Certification Program to ensure our partners were equipped to help customers get the most out of MongoDB. The System Integrators Certification Program, designed around two core certifications, gives MongoDB’s SI partners both an introduction to MongoDB and a technical deep-dive that qualifies participants to architect MongoDB for modern, AI-enriched applications. Since its inception, this program has quickly gathered steam, and, today, we are proud to say that we’ve issued over 10,000 certifications to associates and architects across MongoDB’s various system integrator partners. Achieving 10K certifications is a big step, and I am truly thrilled that over 2,500 Capgemini consultants have participated in this program and achieved MongoDB SI certification over the last ten months,” said Eric Reich, global AI and data engineering head at Capgemini. “SI Certifications are helping our consultants keep abreast of the latest architectures on cloud and data modernization. More specifically, these certifications help MongoDB and Capgemini engage in joint engineering collaboration, building accelerators to support our customers in optimizing business outcomes from data- and AI-powered applications leveraging MongoDB. The certification program is an exclusive enablement offering for our SI partners and can be completed on-demand or via instructor-led training. The rapid success and popularity of this certification program reinforces the value of working with MongoDB for our SI partners, the commitment of these partners to truly understand our product, and the desire of joint customers to do more with MongoDB. MongoDB is a key partner for Accenture as its technology enables our clients in their modernization journey. MongoDB's importance to us continues to grow as more organizations are working with Accenture to become more efficient with their data platforms while leveraging their AI investments,” said Ram Ramalingam, senior managing director and global lead of platform engineering and intelligent edge at Accenture. “Skills building and certifications are a significant value to our partnership as this enables my team to provide expertise to our clients for their modernization needs. In the near future, we plan to expand our partner certification offerings, including the addition of a new MongoDB Application Delivery Certification. This certification will include exclusive, partner-only, online learning and hands-on labs that teach application delivery fundamentals and implementation best practices. It will equip our SI partners with the ability to architect MongoDB and deliver at scale. The team and I can’t wait to see what our customers and system integrators build next. To learn more about MongoDB’s partners — who help boost developer productivity with a range of proven technology integrations — visit the MongoDB Partner Ecosystem . Current SI partners can register for the MongoDB Certification Program .

January 18, 2024
News

MongoDB Named a Leader in the 2023 Gartner® Magic Quadrant™ for Cloud Database Management Systems

MongoDB is proud to be named a Leader in the 2023 Gartner® Magic Quadrant for Cloud Database Management Systems (CDBMS). We believe this makes MongoDB the only dedicated application database provider recognized as a Leader for two years running. At MongoDB, our focus on serving the needs of the community and adopters of the developer data platform drives our innovation and product ethos. This year it has led to an unprecedented level of new features and capabilities. Most acutely now, senior executives and decision makers want to exploit data and AI to transform their organizations. Yet most enterprises struggle in this endeavor due to the complexity of their database management systems that inhibit their developers from achieving strategic and critical objectives rather than aiding them. The foundational concept behind MongoDB’s developer data platform has been to overcome the most critical challenges around enterprise data, such as the unification of data across multiple applications, data synchronization, complexity with multitudes of workload-specific tools and technologies, vendor lock-in for proprietary formats, poor interoperability, and duplicate efforts across cloud platforms. The most recent innovations on our platform simplify your operational, transactional, and AI-powered workloads and maintain the kind of flexibility and openness that allows your organization to stay agile as you scale with cost-efficiency, transparency, and security in mind. It’s not like there aren’t other phones or other cars, but how it’s all packaged together in a way that’s so compelling and so user-friendly and enables people to do what they want to do, is essentially what differentiates MongoDB. There’s other [tools] out there, but it’s very clunky for a developer to connect their vector data to their metadata, to their core data, to be able to orchestrate all that, then figure out how to do the embeddings and all that. It just becomes a very convoluted process . 1 Dev Ittycheria, MongoDB CEO - November 2023 “Gartner defines the market for cloud database management systems (DBMSs) as the market for software products that store and manipulate data and that are primarily delivered as software as a service (SaaS) in the cloud. Cloud DBMSs may optionally be capable of running on-premises, or in hybrid, multicloud, or intercloud configurations.” To help users understand this emerging technology landscape, Gartner published its first Magic Quadrant for Cloud Database Management Systems back in 2020. Three years on and after evolving criteria to reflect how enterprise needs are changing, Gartner has named MongoDB as a Leader for the second consecutive year for the latest 2023 Magic Quadrant. Source:  Gartner We believe MongoDB was named a Leader in this report partly because of new capabilities such as Vector Search and Queryable Encryption , that have been brought to market to meet the ever-increasing demand for new applications and workloads. In addition to listening to developers’ and their organizations’ needs for new capabilities, MongoDB’s product teams have also been obsessed with ensuring new functionality does not equate to increased complexity , nor forsake the tenet of intuitive ease of use. Capabilities such as the Stable API ensure that applications are future-proofed to work with subsequent MongoDB releases, something unprecedented and unique today. Now, Relational Migrator enables new adopters to migrate their existing applications and workloads in a prescriptive and guided manner that encourages best practices and sound architectural design. A tailored holistic approach - people, process, and technology Digital transformation and change management can be an arduous and daunting prospect, particularly in the absence of expertise and guidance from those who have walked the same path previously. While technology is an enabler, such initiatives will fail without due consideration for the appropriate skills and promotion of tried-and-tested best practices. At MongoDB, this is an intrinsic element to how we embrace and welcome new adopters of our developer data platform — a defacto standard for document database-oriented application development. In 2023, we launched two new programs to ensure developers and their organizations new to MongoDB are set up for success. The first was Atlas for Industries to help organizations accelerate cloud adoption and modernization by utilizing industry-specific expertise, programs, partnerships, and integrated solutions. No less than seven vertical-specific solutions were launched in 2023 covering Atlas for Financial Services , Government , Manufacturing and Automotive , Retail , Healthcare , Insurance , and Telecommunications . In each instance, organizations and their teams gain access to expert-led architectural design reviews, partner integrations and toolchains, innovation workshops, professional services teams, and dedicated training to ensure the relevant knowledge is harnessed and proliferates throughout the entire organization. The second initiative was the MongoDB AI Innovators Program , which provides organizations building AI-powered applications and technology with access to expert technical support and guidance, MongoDB Atlas credits, collaboration opportunities via our partner ecosystem, and joint go-to-market activities with MongoDB to accelerate innovation and time to market. The program consists of two tracks: one for early-stage ventures and another for more established companies. Both provide opportunities to join a community of founders and developers while gaining access to dedicated resources, training, and counsel from subject matter experts. Realizing the value of MongoDB The success of those taking advantage of MongoDB’s developer data platform is abundant, as evidenced when one looks at adopters among the most successful of enterprises across all industries: 64 of the Fortune 100 192 of the Fortune 500 457 of the Fortune 2000 The community of MongoDB users have also spoken on Gartner Peer Insights™; 94% of MongoDB users who provided reviews to Gartner Peer Insights platform said they would recommend us 2 (based on 49 ratings with an average of 4.6 out of 5 stars in the last 12 months, as of 15 January, 2023). Source:   Gartner Peer Insights An ecosystem of interoperability Having a well-architected data platform is foundational, however working in a vacuum is another potential pitfall. Every organization, new or established, has infrastructure that must integrate and work together. At MongoDB, we realize it is critical that your application database works as a well-oiled component alongside the rest of your tooling ecosystem. It is imperative that technology partners work seamlessly with one another and in a coordinated and consistent manner. For this reason, MongoDB has cultivated a partner ecosystem; a collaborative approach spanning innovative and bleeding edge pioneers of genAI, established and ubiquitous cloud providers, and a further 1000+ technology and service integration partners . The value of system integrators (SI) is something MongoDB does not underestimate. In the last 12 months, MongoDB has certified over 10,000 SI Associates and Architects. These certifications enable our SI partners to accelerate our clients’ AI journeys by enabling sound design approaches, ensuring best practices are followed, and expediting delivery. Data accessibility is a critical element and our certification programs rapidly enable SIs to enable organizations to meet these challenging demands. Quantity is one thing, but what of the quality of these partnerships? It’s worth noting that MongoDB is the only independent software vendor (ISV) featured in each of the top four cloud providers’ consoles and start up programs. Our efforts have not only been recognised by the leading analyst firms but by our top tier technology partners as evidenced by the awards received in 2023 alone: AWS EMEA Marketplace Partner of the Year AWS ISV Partner of the Year for ASEAN AWS ISV Partner of the Year for Chile AWS ISV Partner of the Year for Taiwan Google Cloud Technology Partner of the Year for Data Management Google Cloud Data — Smart Analytics Technology Partner of the Year MongoDB also signed a strategic partnership with Microsoft in 2023. This followed a four-year extension to a strategic global partnership with Alibaba . MongoDB has worked closely with AWS to enhance the value offered via AI-powered AWS CodeWhisperer and Bedrock collaborative efforts. The importance of a unified ecosystem to enable generative AI use cases on the same stack that supports traditional transactional and analytical use cases is critical to ensure simplification, lower latency, and cost containment. Sanjeev Mohan , SanjMo Principal, and former Gartner Research VP - Big Data and Advanced Analytics In his Spotlight document 3 , Mohan lauds MongoDB for its extensive integration with the ever-expanding ecosystem of large language model (LLM) providers as well as ISVs developing and deploying the AI value chain. Evaluating a leader in Magic Quadrant for Cloud Database Management Systems “Which are the competing players in the major technology markets? How are they positioned to help you over the long haul? A Gartner Magic Quadrant is a culmination of research in a specific market, giving you a wide-angle view of the relative positions of the market’s competitors. By applying a graphical treatment and a uniform set of evaluation criteria, a Magic Quadrant helps you quickly ascertain how well technology providers are executing their stated visions and how well they are performing against Gartner’s market view." 4 MongoDB’s take: Given that they encompass technical, commercial, operational and strategic considerations, Gartner’s evaluation of 19 cloud DBMS vendors against 15 criteria (seven on execution and eight on vision) is comprehensive and extensive. Our market presence, above-market growth rates, and establishment as a nonrelational database standard have been consistently highlighted as strengths by several analyst firms and research organizations prior to the publication of this report 5 . It is our opinion that our placement as a Leader in this Magic Quadrant is a reflection of these trends as well as our holistic approach to supporting the MongoDB community. Visit the Gartner website to obtain the full report (requires Gartner subscription) 6 . Getting started on your cloud journey MongoDB Atlas is engineered to help you make the shift to the cloud. We would appreciate the opportunity to understand more about your key transformation initiatives and workshop ideas with your teams to accelerate delivery. In the interim, your engineers and developers can familiarize themselves with MongoDB right away by signing up for a free account on MongoDB Atlas . Have them create a free database cluster, load your own data or our sample data sets, and explore what’s possible within the platform. Following on from our enhanced MongoDB University program , launched in November 2022, and in June 2023 MongoDB partnered with digital learning providers , such as Coursera and LinkedIn Learning, to make our software development courses available to more students worldwide. Additionally, the MongoDB Developer Center hosts an array of resources including tutorials, sample code, videos, and documentation. 1 Source: SiliconANGLE article, November 2023: “ MongoDB looks to enable developers to do more sophisticated analytics”, Ryan Stevens 2 Gartner® and Peer Insights™ are trademarks of Gartner, Inc. and/or its affiliates. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose. 3 Source: SanjMo article, December 2023: “ Spotlight: Evaluating MongoDB Atlas Vector Search ”, Sanjeev Mohan 4 Source: Gartner, January 2023: “ Positioning technology players within a specific market ” 5 Source: Forrester Wave: Translytical Data Platforms, Q4 2022 , ISG (Ventana Research) Operational Data Platforms 2023 Value Index and DB-Engines 6 Gartner and Magic Quadrant are registered trademarks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. The Gartner logo is a trademark and service mark of Gartner, Inc., and/or its affiliates, and is used herein with permission. All rights reserved.

January 16, 2024
News

MongoDB Security Incident Update, December 20, 2023

The following is an update on the security incident first reported on December 16, 2023, US Eastern time (EST). For all critical alerts and advisories for MongoDB, please visit mongodb.com/alerts . We continue to find no evidence of unauthorized access to MongoDB Atlas clusters or the Atlas cluster authentication system . Based on the investigation to date, the unauthorized third party used a phishing attack to gain access to some of the corporate applications that we use to provide support services to MongoDB customers. In collaboration with outside forensic experts, we currently have a high level of confidence that the unauthorized third party has been removed from our corporate applications and that this incident is contained. Although our investigation remains ongoing, today we’re sharing additional information regarding the contact information and related account metadata that we have identified as having been exposed. The tables below show the relevant fields. CRM Application Field Name Description Salutation First Name Last Name Title Account Name Company Name Address Street Address City Address State Address Zip Address Country Phone 1 Primary Phone Phone 2 Mobile Phone 3 Fax E-Mail Owner Full Name MongoDB Sales Contact Customer Support Application td { padding: 15px 10px; font-weight: 500; border-bottom: 1px solid #b3bbc1; } .multicol td:not(:last-child) { border-right: 1px solid #b3bbc1; } tr:nth-child(even) { background: #ffffff; } table { width: 100%; border-left: none; border-right: none; } Field Type Description User Name String Username / email address for account.mongodb.com Last Auth Date/Time Time of last user authentication Last Auth Method String Last authentication method used Time Zone ID String ID for user's preferred time zone Time Zone Code String Alphabetical code for user's preferred timezone Created Date/Time User registration time First Name String User first name Last Name String User last name User ID String Internal unique user identifier Is Invite Boolean User invited but has not yet accepted invite Read Only Boolean User has limited permissions Last Page View Date/Time Last time a page was viewed by user Login Count Number Number of times a user has logged in Is Locked Boolean Indicates if user is locked, automatically or manually Is Deleted Boolean Indicates if user has been deleted Deleted Date Date/Time Time at which the user was deleted Email Last Verified Date/Time Email verification date Email Needs Verification Boolean Email needs verification Email Address String Alternate email address Has Account Multifactor Auth Boolean User is enrolled for multifactor authentication Deprecated Fields The fields below are only populated for users of our deprecated multifactor authentication (MFA) system. We released our current MFA system in January 2021. Multifactor Auth Phone String Phone number used for deprecated MFA Multifactor Auth Extension String Phone number extension used for deprecated MFA Multifactor Auth Backup Phone String Alternate phone number used for deprecated MFA Multifactor Auth Backup Phone Extension String Alternate phone number extension used for deprecated MFA Multifactor Auth Authenticator Boolean Specifies whether an authenticator device was used for deprecated MFA Multifactor Auth Voice Boolean Specifies whether a user of deprecated MFA wished to receive voice calls Unused Fields The following fields are no longer in use by any system. Multifactor Auth Update Key String May be populated for users of deprecated MFA. Field is not used by any system. Team IDs String[] Empty and unused Num Teams Number Empty and unused Status String Empty and unused Num Groups Number Empty and unused Internal Fields Roles String[] Internal field, populated only for MongoDB employee records Roles String String Internal field, populated only for MongoDB employee records In addition, we previously disclosed a list of indicators of compromise (IOCs) from which we detected unauthorized activity; that list is shared again below. Pursuant to industry best practices, we recommend that customers take the following actions using this information: Provide this list of IOCs to your security or infrastructure teams. These teams can proactively set up firewall blocks or monitoring, as appropriate. Search your application or infrastructure logs for these addresses to identify possible anomalous activity. Please be aware that threat actors will regularly change IP addresses, therefore this list is not exhaustive. Indicators of Compromise (IOC) 107.150.22.47 138.199.6.199 146.70.187.157 179.43.189.85 185.156.46.165 198.44.136.69 198.44.136.71 198.44.140.133 198.44.140.199 199.116.118.207 206.217.205.88 66.63.167.152 66.63.167.154 87.249.134.10 96.44.191.132 We also continue to recommend that customers be vigilant for social engineering and phishing attacks, activate phishing-resistant, multifactor authentication (MFA), and regularly rotate their passwords. To learn how you can enable phishing-resistant MFA on MongoDB’s native cloud authentication service, read our documentation on managing MFA options . MongoDB Cloud also supports federating your identity from your IDP, and you can read about configuring federated authentication here . Moving forward, MongoDB will post updates to mongodb.com/alerts when we have notable new information. Update as of January 3, 2024: The investigation of this incident is complete and closed. Please see the MongoDB Alerts page for more information.

December 21, 2023
News

A Year of Thrill: Celebrating the New MongoDB University

Staying ahead in the ever-evolving tech world is like being on a rollercoaster - it’s exciting but it can also make your head spin! When we set out to revamp MongoDB University , we wanted to provide developers with frictionless access to the learning content they needed to conquer their challenges. It’s been one year since the launch and we are over the moon about how far the new MongoDB University has come - a one-stop hub with fresh certifications and new content, all available online. But none of this would have been possible without the incredible support of our engaged learners who have embarked on this ride with us. Our commitment to delivering top-notch educational resources has been nothing short of award-winning, earning us the prestigious Silver Excellence Award from the Brandon Hall Group in the category of ‘Best Advance in Creating an Extended Enterprise Learning Program’. The success of the new University has also been featured at industry events, including Cognition and the Customer Education Management Association Conference. So, let’s buckle up and take a tour through the revamped MongoDB University! New content With over 1,000 learning assets, including videos, hands-on labs, code recaps, quizzes, and courses, there’s something for everyone. Plus, now we have you covered with language subtitles in Chinese (Traditional and Simplified), Korean, Spanish, German, Japanese, Italian, French, and Portuguese. The best part? All of the content is free, online, and you can take your time and learn at your own pace. Let’s explore three of our newest courses: Data Modeling for MongoDB: This course guides you through the foundational steps of creating an effective data model in MongoDB, including identifying entities and workloads, mapping and modeling relationships between entities, and using key schema design patterns. Atlas Essentials: In this course, you’ll gain the foundational knowledge and skills needed to use MongoDB Atlas, the multi-cloud developer data platform. MongoDB for SQL Professionals: This course will help you leverage your SQL skills to get started with MongoDB quickly. You can practice what you learn and gain valuable real-world skills with labs hosted in our in-browser development environment. The new experience allows you to explore hands-on exercises as part of our courses, or you can dive directly into a standalone lab . The labs include step-by-step instructions that guide you through each scenario and even provide hints along the way. And for those looking for nuggets of MongoDB wisdom, explore the catalog of over 30 Learning Bytes . These short videos cover a wide variety of topics and are designed to help you get the knowledge you need quickly. New certifications Our freshly revamped certifications are recognized by professional institutions and are your ticket to having your knowledge and skills formally validated and recognized by MongoDB. They are a great way to elevate yourself in your current role and increase your marketability for future roles. Certifications come with bragging rights, inclusion in the Credly Talent Directory, and a shiny Credly badge that makes it easy for you to share your achievement. So, let’s explore the two new certifications: MongoDB Associate Developer: Certify that you possess the essential skills to create beginner-level applications utilizing MongoDB as a backing database for Java, Python, C#, PHP, or Java applications. MongoDB Associate Database Administrator: Validate your MongoDB database administration skills by certifying your knowledge of building, supporting, and securing MongoDB infrastructure. And if you need a boost, once you complete one of the certification learning paths you will automatically unlock a 50% discount on a certification exam. Educators and students can check out the Academia program to learn how to receive a free exam. All aboard! This is just the beginning of the adventure and we are excited for what is yet to come. So, fasten your seatbelt, and let’s keep learning together! With over 1,000 learning assets, MongoDB University has what you need to pick up new skills and advance your career. Explore free courses, practice with hands-on labs, and earn MongoDB certifications.

November 28, 2023
News

Why We’re Celebrating Developers (And Why We Always Will)

No matter the future, developers will build it. This is the fundamental message for MongoDB’s Love Your Developers campaign, which we created to celebrate, recognize, and support all that developers have done and continue to do. When the campaign launched earlier this year, it took a more historical view on how developers have shaped the history of computing from its earliest days — even before computers were invented. We wanted to show that — even in the eras when hardware was the primary focus — programming language pioneers, like Grace Hopper, and innovative engineers, like Jerry Lawson, fundamentally shaped the future through software. (To read more about the campaign, and why we launched it, check out our announcement blog article .) Introducing the MongoDB Developer Spotlight Series Just like in the past, today’s technologies aren’t developed in a vacuum. It takes entire teams of developers — experimenting, innovating, testing — to build and deploy applications that transform how we interact with the world. That is why we’re introducing our MongoDB Developer Spotlight Series. Our aim is to celebrate the diversity of experiences and approaches that exist among and throughout the global developer community. To do this, we will highlight stories from today’s community champions, developer advocates, newbies, senior engineers — and more. It’s our hope that these stories will help inspire the next generation of developers who will further shape our future. In this new series, we’ll introduce you to developers like Trina Yau. Trina went from being a pharmacist to a software engineer at Cisco. While initially concerned about her nontraditional background, she was later told by recruiters that her unique journey was a strength, rather than a weakness. This revelation showed her that, in order to become a developer, one must only possess a curious mind. In other words, there is no singular path to working in software. In a forthcoming post, Trina (who is also a MongoDB Community Creator) will share with us why developing isn’t just a way to earn a living, but a way to connect with people and share experiences through technology. This series will also spotlight developers like Justin Jenkins, who is a Software Development Engineer at Pushpay and a MongoDB Community Creator. He got his start at an early age, building his own computers and coding in BASIC - before he even knew that developing was a thing. In a future post, Justin will share tips based on his own experiences. For example, in his view, newbie developers know more than they think when it comes to getting started. Through MongoDB’s social channels, we’ll share all of these developers’ insights, tips, advice, and origin stories. So stay tuned. And let us know what you think. #LoveYourDevelopers Because no matter what the future holds, it’s developers who will build it. If you’d like to learn how you can get involved in MongoDB’s own Developer Community, head on over to our Community Forum . There, you’ll find updates, announcements, and ways to interact with other developers.

November 14, 2023
News

MongoDB Atlas for Telecommunications Launches in Dallas, Alongside AT&T and Cisco

MongoDB has officially launched MongoDB Atlas for Telecommunications, a new program for telecommunications companies to accelerate innovation and maximize the use of their data to better serve customers. The program includes expert-led innovation workshops, tailored technology partnerships, and industry-specific knowledge accelerators that provide customized training paths designed for modernization and innovative digital services leveraging the potential of modern 5G networks. Visit the MongoDB Atlas for Industries page to learn more. MongoDB Atlas for Telecommunications launched against a backdrop of hundreds of developers and industry IT leaders at our MongoDB.local gathering in Dallas. Throughout the event, speakers and product announcements emphasized how the telecommunications industry is currently utilizing MongoDB Atlas to gain a competitive advantage. Atlas for the Edge 5G has opened up new revenue streams for Communication Service Providers (CSPs), with whole new industries racing to take advantage of the up to 100x improvements in speed and throughput that these new networks offer. However, while these networks offer significant speed enhancements, the underlying cloud computing environments, without any optimization, remain the primary bottleneck to delivering the sorts of data processing capabilities that these new, ultra-low latency applications demand. Atlas for the Edge addresses this issue by providing reliable data connectivity across the cloud, data centers, and devices, catering to critical real-time use cases like machine learning, disaster recovery, and autonomous vehicles. MongoDB's Atlas developer data platform ensures consistent data management, irrespective of the data's origin, storage location, or destination. This solution not only offers the ability to deploy MongoDB at any edge location, thereby enhancing performance and cost efficiency but also unifies data across various sources, ensuring a singular, dependable data source. Furthermore, with Atlas Stream Processing , real-time data processing from numerous devices, including sensors and mobile phones, is made possible. This allows for functions like anomaly detection and predictive maintenance on data sets. In terms of security, data encryption is ensured at all stages, and users can also benefit from advanced access controls or integrate with external identity management solutions. You can learn more about how MongoDB and Verizon are building the next generation of mobile 5G networks on our Mobile Edge Computing page. Atlas Stream Processing Atlas Stream Processing is especially beneficial for CSPs as it aids in real-time network performance analysis, ensuring quicker responses and enhancing customer experiences. With the ability to quickly detect anomalies, CSPs can maintain consistent network performance. Moreover, with data security as a priority in today's digital landscape, Atlas Stream Processing encrypts data both in transit and at rest, ensuring the safe processing of CSP data streams. For CSPs, being able to adapt and react in real time is essential. By leveraging Atlas Stream Processing, they can optimize operations, offer improved services, and make data-driven decisions promptly, ensuring they remain competitive in the ever-evolving industry. Vector Search Atlas Vector Search , a new addition to the MongoDB Atlas product line, enables CSPs to build intelligent applications powered by semantic search and generative AI over unstructured data, giving customers results that go beyond keyword matching and that infer meaning and intent from a user’s search term. By employing Atlas Vector Search, CSPs can quickly sift through vast datasets, including customer profiles, service logs, or network patterns, to find relevant insights. Such capabilities can enhance customer service, as CSPs can more readily understand user behavior and preferences, helping to uncover new opportunities to address customer needs. Additionally, as CSPs diversify their offerings and integrate more with digital services, the ability to conduct nuanced searches becomes essential for product innovation and market differentiation. Learn more about Atlas Vector Search on our product page . Attendees of MongoDB.local Dallas were also treated to talks by Luke Rice, Director of Technology at AT&T, and Shaun Roberts, Principal Engineer at Cisco, both of whom outlined how they were utilizing MongoDB Atlas to transform how they do business. Going on a modernization journey with AT&T Rice presented an overview of AT&T's platform for address management, validation, and qualification. This platform is crucial for the accurate deployment of products and services to customers, determining service eligibility based on location, and handling address inconsistencies from various sources. It supports both geocoding and reverse geocoding, translating addresses to geospatial coordinates and vice versa. It interacts with third-party address data providers and has the ability to match and merge inconsistent address data. The system's importance extends beyond mere validation and service qualification, heavily influencing much of AT&T's product and service lifecycle. From planning where to build out infrastructure, to working with construction and engineering during builds, and setting up services in areas where addresses are yet to be finalized, the system plays a pivotal role. Additionally, it aids in sales, order provisioning, billing, and dispatching for service management, handling around 380 million unique addresses and managing around 14 million daily transactions. Currently, AT&T’s address management system consists of several aging and sometimes overlapping systems, creating issues with maintenance and efficiency. AT&T is on a modernization journey to integrate approximately 12 of these systems into a singular solution, the Intelligent Network Location Application Platform (IN-LAP). At the center of IN-LAP is MongoDB Atlas. The primary benefit of MongoDB Atlas to AT&T is its simplified and flexible data structure, which helps them create their single source of truth. And with MongoDB’s flexible schema, AT&T is ready to continuously adapt digital products to new data demands and technologies, like edge computing and AI, without extensive and time-consuming database redesign. MongoDB Atlas also offers AT&T benefits from reduced data duplication, multiple data ingestion options, and built-in geospatial functions, allowing them to perform calculations like point-to-point distances without third-party tools. We do require our Solutions like [IN-LAP] to be multi-region, and so that [multi-cloud] being built into the Atlas platform enables me to just focus on building value. Luke Rice, Director of Technology at AT&T Ultimately, accelerating time to market for new products is key for Rice and AT&T. MongoDB Atlas offers AT&T a level of "platformization" that allows developers to focus solely on delivering business value, relieving them of the operational intricacies and management responsibilities of running a large and mission-critical database. Lastly, MongoDB’s native multi-region, multi-cloud support gives Rice and his team reassurance that they can easily scale IN-LAP to different regions and countries in the future. How Cisco empowers its workforce to build a better customer experience Roberts shared how Cisco’s Customer Experience (CX) team leverages MongoDB in the company’s groundbreaking Ascension product. Ascension is a platform that empowers people from across the company, including those with little to no coding knowledge, to develop customer-focused innovations using a cloud-native, low-to-no-code solution. Shaun and his CX team had specific requirements for Ascension. They wanted: A scalable, production-grade system. To engage a broader spectrum of their development base, including those not traditionally involved in coding. A cutting-edge, compliant solution upholding Cisco's stringent security standards. A solution that could be managed by a compact, volunteer-based tiger team. Initially, they experimented with a range of on-prem solutions, including OpenStack, VMware, Arango, and Microsoft SQL. Unfortunately, none met their criteria, particularly when it came to scaling the usage of Ascension. This was especially true for their core application, the Cisco Virtual Tac Engineer, which manages tens of thousands of cases daily. Ascension cut development time by 40% to 60% compared with traditional methods. In the end, to meet their ambitious goals and stringent requirements, Cisco built its solution using MongoDB Atlas. MongoDB Atlas now serves as the primary database for Ascension and also operates as the de facto database-as-a-service (DBaaS) for client apps built using Ascension, with 98% of all applications built by Ascension users running on MongoDB Atlas. With MongoDB at its core, Ascension helps power some of the most exciting innovations across Cisco Customer Experience, helping the company bring amazing efficiency and service to its customers. The results speak for themselves: Ascension cut development time by 40% to 60% compared with traditional methods. Over a year, Ascension user numbers surged from 20 to over 900. Ascension processes 450,000 to 500,000 workflows daily, amounting to about 12 million monthly. Ascension uptime stands at an impressive 99.9%, with the minor downtime attributed to upgrades. On average, an engineer at Cisco dedicating time to Ascension spends 12 hours a week on it. Learn more about how to take advantage of the MongoDB Atlas for Telecommunications program on our MongoDB for Industries page.

November 13, 2023
News

Atlas Vector Search Commands Highest Developer NPS in Retool State of AI 2023 Survey

This post is also available in: Deutsch , Français , Español , Português , Italiano , 한국어 , 简体中文 . Retool has just published its first-ever State of AI report and it's well worth a read. Modeled on its massively popular State of Internal Tools report, the State of AI survey took the pulse of over 1,500 tech folks spanning software engineering, leadership, product managers, designers, and more drawn from a variety of industries. The survey’s purpose is to understand how these tech folk use and build with artificial intelligence (AI). As a part of the survey, Retool dug into which tools were popular, including the vector databases used most frequently with AI. The survey found MongoDB Atlas Vector Search commanded the highest Net Promoter Score (NPS) and was the second most widely used vector database - within just five months of its release. This places it ahead of competing solutions that have been around for years. In this blog post, we’ll examine the phenomenal rise of vector databases and how developers are using solutions like Atlas Vector Search to build AI-powered applications. We’ll also cover other key highlights from the Retool report. Check out our AI resource page to learn more about building AI-powered apps with MongoDB. Vector database adoption: Off the charts (well almost...) From mathematical curiosity to the superpower behind generative AI and LLMs, vector embeddings and the databases that manage them have come a long way in a very short time. Check out DB-Engines trends in database models over the past 12 months and you'll see that vector databases are head and shoulders above all others in popularity change. Just look at the pink line’s "up and to the right" trajectory in the chart below. Screenshot courtesy of DB-engines, November 8, 2023 But why have vector databases become so popular? They are a key component in a new architectural pattern called retrieval-augmented generation — otherwise known as RAG — a potent mix that combines the reasoning capabilities of pre-trained, general-purpose LLMs and feeds them real-time, company-specific data. The results are AI-powered apps that uniquely serve the business — whether that’s creating new products, reimagining customer experiences, or driving internal productivity and efficiency to unprecedented heights. Vector embeddings are one of the fundamental components required to unlock the power of RAG. Vector embedding models encode enterprise data, no matter whether it is text, code, video, images, audio streams, or tables, as vectors. Those vectors are then stored, indexed, and queried in a vector database or vector search engine, providing the relevant input data as context to the chosen LLM. The result are AI apps grounded in enterprise data and knowledge that is relevant to the business, accurate, trustworthy, and up-to-date. As the Retool survey shows, the vector database landscape is still largely greenfield. Fewer than 20% of respondents are using vector databases today, but with the growing trend towards customizing models and AI infrastructure, adoption is guaranteed to grow. Why are developers adopting Atlas Vector Search? Retool's State of AI survey features some great vector databases that have blazed a trail over the past couple of years, especially in applications requiring context-aware semantic search. Think product catalogs or content discovery. However, the challenge developers face in using those vector databases is that they have to integrate them alongside other databases in their application’s tech stack. Every additional database layer in the application tech stack adds yet another source of complexity, latency, and operational overhead. This means they have another database to procure, learn, integrate (for development, testing, and production), secure and certify, scale, monitor, and back up, And this is all while keeping data in sync across these multiple systems. MongoDB takes a different approach that avoids these challenges entirely: Developers store and search native vector embeddings in the same system they use as their operational database. Using MongoDB’s distributed architecture, they can isolate these different workloads while keeping the data fully synchronized. Search Nodes provide dedicated compute and workload isolation that is vital for memory-intensive vector search workloads, thereby enabling improved performance and higher availability With MongoDB’s flexible and dynamic document schema, developers can model and evolve relationships between vectors, metadata, and application data in ways other databases cannot. They can process and filter vector and operational data in any way the application needs with an expressive query API and drivers that support all of the most popular programming languages. Using the fully managed MongoDB Atlas developer data platform empowers developers to achieve the scale, security, and performance that their application users expect. What does this unified approach mean for developers? Faster development cycles, higher performing apps providing lower latency with fresher data, coupled with lower operational overhead and cost. Outcomes that are reflected in MongoDB’s best-in-class NPS score. Atlas Vector Search is robust, cost-effective, and blazingly fast! Saravana Kumar, CEO, Kovai discussing the development of his company’s AI assistant Check out our Building AI with MongoDB blog series (head to the Getting Started section to see the back issues). Here you'll see Atlas Vector Search used for GenAI-powered applications spanning conversational AI with chatbots and voicebots, co-pilots, threat intelligence and cybersecurity, contract management, question-answering, healthcare compliance and treatment assistants, content discovery and monetization, and more. MongoDB was already storing metadata about artifacts in our system. With the introduction of Atlas Vector Search, we now have a comprehensive vector-metadata database that’s been battle-tested over a decade and that solves our dense retrieval needs. No need to deploy a new database we'd have to manage and learn. Our vectors and artifact metadata can be stored right next to each other. Pierce Lamb, Senior Software Engineer on the Data and Machine Learning team at VISO TRUST What can you learn about the state of AI from the Retool report? Beyond uncovering the most popular vector databases, the survey covers AI from a range of perspectives. It starts by exploring respondents' perceptions of AI. (Unsurprisingly, the C-suite is more bullish than individual contributors.) It then explores investment priorities, AI’s impact on future job prospects, and how it will likely affect developers and the skills they need in the future. The survey then explores the level of AI adoption and maturity. Over 75% of survey respondents say their companies are making efforts to get started with AI, with around half saying these were still early projects, and mainly geared towards internal applications. The survey goes on to examine what those applications are, and how useful the respondents think they are to the business. It finds that almost everyone’s using AI at work, whether they are allowed to or not, and then identifies the top pain points. It's no surprise that model accuracy, security, and hallucinations top that list. The survey concludes by exploring the top models in use. Again no surprise that Open AI’s offerings are leading the way, but it also indicates growing intent to use open source models along with AI infrastructure and tools for customization in the future. You can dig into all of the survey details by reading the report . Getting started with Atlas Vector Search Eager to take a look at our Vector Search offering? Head over to our Atlas Vector Search product page . There you will find links to tutorials, documentation, and key AI ecosystem integrations so you can dive straight into building your own genAI-powered apps . If you want to learn more about the high level possibilities of Vector Search, then download our Embedding Generative AI whitepaper. Check out our presentation Build Your AI Roadmap for 2024 to learn about different AI use cases and how organizations are making changes to support them!

November 13, 2023
News

Introducing a New Way to Explore, Discover, and Get Started with the Right MongoDB Partner

At MongoDB, our partners have always been an integral part of our growth and success, so it is especially important to harness the power of our global partner ecosystem to connect customers to innovative technology and services. Working alongside our partners, MongoDB Atlas , the leading multi-cloud developer data platform, is accelerating and simplifying building with data. Together, we enable developers to quickly build with the capabilities, performance, and scale generative AI applications required to drive business value. As our partner ecosystem continues to grow, it is important that customers can easily find the perfect MongoDB partner based on competencies like use cases, industry expertise, products, and platform services. We want to enable customers to find vetted and exemplary solutions that work with MongoDB. To make this partner discovery a reality, we’re thrilled to introduce the MongoDB Partner Ecosystem Catalog , a new way to explore the many MongoDB partners and find the best-combined solution. "MongoDB is passionate about partners and customers and our partner ecosystem is designed based on customer needs and feedback. Launching the MongoDB Partner Ecosystem Catalog is another step in that journey. This new catalog will make it easier to connect customers with the right partner at the right time to ensure they have the technology and support they need to be successful. This is especially important as more organizations look to capitalize on the power of generative AI both in how they build applications and how their customers interact with applications." -Alan Chhabra, Executive Vice President, Worldwide Partners and Asia This new catalog enables customers to discover everything the MongoDB partner ecosystem has to offer in one place. With over 1,000 partners and counting across the globe, we’ve identified, vetted, and highlighted those that we believe to be most impactful and capable of driving the best experiences for customers. Today at MongoDB.local Paris, MongoDB also announced the launch of MongoDB Atlas for Retail , part of the Atlas for Industries program, to accelerate innovation in the retail industry through tailored partnerships, expert-led innovation workshops, and an industry-specific incubator that builds customized training paths for customers. Customers are now able to explore a variety of different partners, from cloud providers to system integrators, technology partners, and those partnering with MongoDB to build AI solutions. Using this discovery tool, customers are now able to explore and filter the MongoDB partner ecosystem based on: The use case or problem they are trying to solve Industry-specific focus In-depth details about what a partner offers and how they work with MongoDB Documentation and instruction on how to get started Building this feature for the MongoDB partner ecosystem is one of the initial steps to enhance discoverability, highlight relevant product integrations, get developers started quickly, and continue to grow our partner network. Participating partners can join and contribute to an engaged and thriving ecosystem. Hear from some of the companies included in our MongoDB Partner Ecosystem Catalog launch: Erik Bovee, Head of Business Development at MindsDB "We are thrilled to be a launch partner for MongoDB's new partner ecosystem catalog. Our MindsDB integration allows any MongoDB developer to easily build enterprise-grade AI solutions with real-time data by plugging any AI model directly into their MongoDB collections. MindsDB can be used to take advantage of vector features, create embeddings, call LLMs from within collections, and offers automation and orchestration for AI workflows over dynamic data. Together, we'll continue to help developers streamline building powerful, AI-enriched applications." Asvin Ramesh, Sr. Director, Partner Alliances at HashiCorp "HashiCorp and MongoDB have both been working to improve developer efficiency and innovation with integrated capabilities that evolve with an organization's environment. As part of the new MongoDB Partner Ecosystem Catalog, customers will have an easier path to identifying which integrations will work for them and get started quicker with direct access to documentation.” Eyal Sacharov, SVP, Research & Chief Architect, CTO at BigID "We provide our customers with a single platform for data visibility and control for security, compliance, privacy, and governance. We're able to help customers get more value from their data and reduce their data risk - accurately, at scale, and fit for their environment. We are proud to be part of the new Partner Ecosystem Catalog and look forward to helping more joint customers discover, manage, and protect their data." Aaqib Gadit, Chief Revenue Officer at DigitalOcean “DigitalOcean and MongoDB have a shared vision of making cloud acceleration for startups and SMBs simpler so they can focus on innovating and building,” said Aaqib Gadit, Chief Revenue Officer. “MongoDB's new Partner Ecosystem Catalog will make this even easier as startups and businesses alike will be able to quickly find the ideal partner for each project they are working on. We are excited to be part of this launch and committed to working with even more joint customers.” Keshav Varma, ISU Head, Technology, Software and Services Business Group, at Tata Consultancy Services (TCS) "It is a priority for us to help organizations transform their legacy data infrastructure in a fast, secure way, and MongoDB is one of our key technology partners in making this happen. TCS's deep domain knowledge across industries, sustained investments in research & innovation, and collaboration with MongoDB shall accelerate customer's growth and transformation journeys.” Eric Allen, Partner Leader at gravity9 “We are in the business of helping our clients accelerate their digital journey and providing them with the best digital products, and MongoDB is integral to this. Being part of MongoDB’s new Partner Ecosystem Catalog makes it easier for us to connect with the customers we can help the most to realize their vision.” The MongoDB Partner Ecosystem Catalog is one of many improvements we are working on to connect customers to the solutions, and partners, they need to unlock value. Soon, customers will be able to navigate the MongoDB Partner Ecosystem by region of service and with additional filtration, as well as review testimonials. We look forward to continuing to work with our partners to help customers build and scale their applications on MongoDB. Visit our website to learn more about the MongoDB Partner Program and apply to be part of our ecosystem .

November 7, 2023
News

Welcoming the Grainite Team to MongoDB: Accelerating Atlas Stream Processing

Tens of thousands of customers and millions of developers rely on MongoDB Atlas to run business-critical applications because of its flexible document data model and ability to work with virtually any type of data using a single, intuitive developer data platform that can run on all major cloud providers. Earlier this year, we announced that we would enable developers to apply the benefits of the document model and a unified interface to streaming data with Atlas Stream Processing . In a short amount of time, we have seen a strong response from developers eager to use this capability to simplify building event-driven applications. To accelerate the development of our streaming offering, we are thrilled to announce that the team behind Grainite — a streaming application platform, backed by Sequoia Capital and Menlo Ventures, that makes it easy to read, process, store, and query events in real-time — has now joined MongoDB. Grainite was founded by world-class technologists Ashish Kumar, who spent over ten years running structured storage products and other high-scale infrastructure projects at Google, and Abhishek Chauhan, who previously served as CTO of Cloud Networking at Citrix. Ashish and Abhishek bring with them a team of talented engineers to MongoDB who will help accelerate the development of Atlas Stream Processing and the release of new capabilities that will make it even easier for customers to process and analyze streaming data for real-time application experiences. “We’re excited to be joining a company that shares our vision for making it effortless to build event-driven applications,” said Kumar. “We’re looking forward to continuing to develop a world-class streaming platform that will make it easier for developers to incorporate real-time data into their applications and becoming part of an organization that can significantly amplify the reach and impact of event-driven applications for developers and end users.” We look forward to welcoming the Grainite team to MongoDB and sharing updates on Atlas Stream Processing and our broader streaming roadmap in the near future.

September 28, 2023
News

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