MongoDB and AWS: How a decade-old collaboration got even better in 2022
Developers select MongoDB because it makes building with data for almost any class of application easy and fast for them. They select Amazon Web Services (AWS) because it offers a comprehensive and broadly adopted cloud platform, offering more than 200 fully featured services. Bringing together MongoDB Atlas on AWS helps developers build and ship higher quality applications faster and scale them further. MongoDB has collaborated with AWS for close to a decade now, but 2022 has seen dramatic growth in both the quantity and quality of our joint activities, resulting in a strategic collaboration agreement announced earlier this year. Our collaboration spans joint product engineering and integration so MongoDB Atlas is a first-party service on AWS, and also extends to making it easy for customers to procure MongoDB Atlas on AWS. In 2022, we have worked more closely together than ever before. In this post, we'll cover what we've achieved, and how our customers benefit. If at any point you want to stop reading about the partnership and experience it in action, we invite you to get started for free with MongoDB's fully managed, pay-as-you-go listing on the AWS Marketplace . Delivering an outstanding customer experience Since re:Invent 2021, MongoDB and AWS have jointly seen an explosion in customer success, with MongoDB for Startups becoming one of the most widely used offerings in the AWS Activate program after we launched in July. And, since launching in the AWS Marketplace with pay-as-you-go pricing in December 2021, MongoDB Atlas has become one of the most popular self-service listings, with well over 1,000 customers. More broadly, we've seen our AWS Marketplace business show triple-digit growth through significant, mutual investments across engineering, sales, and marketing. We've also found great success working with AWS' Workload Migration and Proof of Concept programs, helping many new customers accelerate their migration to MongoDB Atlas on AWS over the past 12 months. Additionally, while MongoDB works closely with AWS across the globe, we devoted increased attention to Europe this past year, resulting in a considerable increase in customer adoption. As a result, AWS named us their AWS Marketplace Partner of the Year - EMEA in November 2022. One way that we've helped to accelerate such customer success is by making it easier to procure MongoDB Atlas on AWS. Over the past year, MongoDB and AWS have significantly simplified the purchasing experience for customers. We did this across a few key areas. One thing customers love about buying through AWS Marketplace is how seamless it makes the purchasing experience. However, historically this has been slowed somewhat for MongoDB customers by the need to agree to separate legal terms. Starting in November 2022, however, all Atlas on AWS customers purchasing through the AWS Marketplace Self Service listing use AWS Marketplace’s Standard Contract for Marketplace (SCMP) terms and conditions rather than MongoDB Cloud Terms of Service, thereby further reducing friction to getting productive, faster, with MongoDB. In 2022, we also helped customers buy MongoDB with confidence through AWS Marketplace Vendor Insights . AWS Vendor Insights "simplif[ies] third-party software risk assessments by compiling security and compliance information in a unified dashboard." It's an important way we're working together to increase customer confidence, ensuring they can buy MongoDB in AWS Marketplace with security and control. Close product collaboration Behind these improvements to our joint purchasing experience were significant improvements to how MongoDB Atlas integrates with key AWS services. MongoDB has long worked seamlessly with core AWS services such as Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Simple Storage Service (Amazon S3), and more recently has collaborated with AWS to ensure tight integration with AWS container services like Amazon Elastic Kubernetes Service (Amazon EKS) and Amazon Elastic Container Service (Amazon ECS), AWS serverless technologies like AWS Lambda, Amazon Eventbridge, and AWS Fargate; and edge computing services like AWS Wavelength . Over the past year, however, we've delved more deeply into AWS machine learning services (Amazon Comprehend, Amazon Kendra, Amazon Lex, etc.), AWS AppSync, Amazon Forecast, AWS Elastic Beanstalk, and more. In addition to direct integrations with AWS services, we made it simpler for customers to use MongoDB with important joint partners such as Datadog, Databricks, and Confluent. For Datadog, we improved MongoDB Atlas App Service to support forwarding logs on AWS to Datadog, thereby improving observability through real-time log analytics. With Databricks, we announced MongoDB as a data source within a Databricks notebook, thereby offering data practitioners an easier, more curated experience for connecting Databricks to MongoDB Atlas data. And with Confluent, we strengthened our integrations to help developers easily build robust, reactive data pipelines that stream events between applications and services in real time. Through innovations to the purchasing process and the product experience, we've helped make thousands of customers successful running MongoDB on AWS. Some joint customers, like Unqork , are upending entire industries with innovative approaches to technology and business. Others, like Volvo's Connected Solutions business , rely on MongoDB and AWS to scale their fleet management solution from tens of millions to billions of daily events. Other recent customers include Verizon , Marsello , GLS , and Shopline . Get started with MongoDB Atlas on AWS You needn't take our word for it, however. With just a few clicks — and no risk — you can get started for free with MongoDB Atlas on AWS . There's no upfront commitment, and if you choose to continue to build with MongoDB on AWS, you only pay for what you use.
10 years of MongoDB customers at AWS re:Invent
MongoDB has attended AWS re:Invent since its inception in 2012. A key reason for this is, of course, to help strengthen our partnership with AWS, which really began in 2015 and significantly expanded in March 2022 with a global, strategic collaboration agreement. But an even more fundamental reason for MongoDB's continued presence at AWS re:Invent over the years is the opportunity to engage with our many joint customers. Several MongoDB customers have been featured in re:Invent keynotes over the years. In fact, looking back at the customers AWS chose to feature in its keynotes, it's hard to find examples that are not MongoDB customers. Earlier this year, AWS celebrated 10 years of re:Invent by showcasing an equal number of "memorable customer moments" from the re:Invent mainstage. It was a great way to reaffirm AWS Leadership Principle #1 (Customer Obsession). It was also a great way to shine a light on the great things MongoDB's customers are doing. Rather than rewind on the many MongoDB customers spotlighted at re:Invent, let's look at those AWS called "most memorable" in its blog. All in on cloud Back in 2015, Capital One CIO Rob Alexander took to the re:Invent stage to discuss Capital One's "all in" approach to cloud. "We’re either using or experimenting with nearly every AWS service," Alexander said. What he didn't say, but which the company has been quite public about over the years, was how Capital One uses MongoDB in tandem with AWS services. A few months after Alexander's re:Invent comments, Capital One's Oron Gill Haus spoke at MongoDB World on Hygieia , the company's open source DevOps dashboard. Hygieia, built on MongoDB, provides the foundation for the company's attempts to reimagine banking. Haus detailed why MongoDB is so critical to Capital One's need to innovate quickly on customers' behalf, stressing how the variety and velocity of data makes MongoDB an ideal solution: We get data in from all different kinds of sources and formats, and we get it at different times. Now, what we have to do is predict the future and how you're planning on using the data. That's where traditional databases fall down. That's where you'll see MongoDB. We want to have the ability to find insights and be able to react quickly to those insights. Years later, Capital One advertises hundreds of jobs for those with MongoDB experience. (Hint: You may need to know how to roll back a MongoDB query for some of those jobs.) Capital One is doing impressive work with MongoDB, but it's not alone in its use of MongoDB for financial services. Goldman Sachs, Citi, Barclays, BBVA, Charles Schwab, FICO, HSBC, and Intuit are just a few MongoDB customers that have spoken publicly of how and why they use MongoDB. And, yes, some of these companies you may remember from the re:Invent main stage over the years. MongoDB to the Moon! Years before NASA Jet Propulsion Laboratory (JPL) took to the re:Invent stage (2016), the U.S. public agency was running MongoDB throughout NASA . By 2018, MongoDB was involved in the hugely interesting NASA Deep Space Network (DSN), a primary resource for communications and navigation for NASA's and partner agencies' interplanetary space missions. NASA had recently upgraded its decades-old infrastructure to base its modern Loading Analysis and Planning Software (LAPS) on Linux and MongoDB. LAPS, as a scientific paper details , "is responsible for long-term planning and forecasting, including studies and analysis of new missions, changed mission requirements, downtime, and new or changed antenna capabilities." Around the same time, and a key part of DSN operations, NASA was also looking for ways to improve the efficiency of operating antennas across the globe. The heart of this initiative was NASA's Link Complexity and Maintenance software (LCM), which stores all pertinent data in MongoDB. Hence, while it might not be accurate to say that MongoDB runs on the Moon, it would be true to say MongoDB helps NASA manage space missions to the Moon—and beyond. Can you hear me now? "[I]t’s just a massive moment for us at Verizon,” declared Hans Vestberg, chairman and CEO of Verizon, at re:Invent in 2019. He was talking about the company's partnership with AWS to deliver 5G network edge computing using AWS Wavelength. What wasn't said in the keynote, but that Robert Belson, Principal Engineer, Corporate Strategy, Verizon, explained , is that the vision was incomplete without MongoDB. “Verizon 5G Edge is a mobile edge computing platform, which embeds popular hyperscaler compute and storage, such as AWS Wavelength, at the edge of our 4G and 5G networks so application builders can extend existing workloads using the same popular services they know and love," he explained. “However, certain services, such as databases, are not natively supported, which is where [MongoDB] Atlas and Realm come into play by creating unprecedented flexibility for the developer and the end customer.” As we've described, Verizon decided that a comprehensive data platform was needed to make its 5G edge computing dream a reality. So Verizon integrated Atlas Functions with the Verizon edge discovery service to help direct 5G mobile clients to the topologically closest database instance across a customer’s edge deployment. In tandem, Verizon has overlaid a data persistence layer using MongoDB Realm, thereby enabling personalized experiences to extend to the network edge. Verizon is also using Atlas Device Sync and Realm to ensure the seamless synchronization of data between devices, the cloud and edge-of-network, online and offline. Customers love MongoDB + AWS Beginning to see a pattern here? While not every customer highlighted by AWS at re:Invent is a MongoDB customer, many are, including the few for which we've been able to provide some detail. Others include Epic Games, which runs its wildly popular game Fortnite on MongoDB ; or Volkswagen, which uses MongoDB throughout its web applications and in its Car Net service ; or Siemens, which runs MongoDB at the heart of its Monet system to provide monitoring, controlling, and remote management of field devices for advanced energy management services. This year while watching the various customers take the stage in re:Invent keynotes, keep in mind that they're also very likely a MongoDB customer, because customers that seek the agility and performance of AWS also tend to like how MongoDB's flexible data model enables them to do much more with their data. Interested in learning more? The best way might be to try fully managed MongoDB Atlas for free. You can get started now .
Introducing the Next Generation of MongoDB Education
MongoDB University has always offered developers free, self-paced, on-demand ways to learn MongoDB and advance their careers. Now MongoDB has launched an enhanced University experience, with a rollout of new courses and features, and a seamless path to MongoDB certification to help take your skills and career to the next level. “MongoDB has always been a developer-first company. But it’s one thing to say that and support the current generation of developers and MongoDB users, it’s another to play a larger role in molding the developers of the future,” says Mark Porter, Chief Technology Officer, MongoDB. “Developers have gone from being a curiosity when I began my career to becoming a boardroom priority. If software and applications are the currency of the modern day economy, development teams are the market makers, and we want to support them on this journey.” Announced at our annual .local London developer conference, the new learning experience makes it easy to quickly pick up knowledge, develop a fundamental MongoDB skillset, and get certified. Beginning November 15, you can discover: New courses that make it easy to learn how to use MongoDB in the context of your preferred programming language, including Python, C#, Java, and Node.JS New discounts and incentives to support your growth. Now, any time you complete a new developer learning path , you will receive a 50% discount on the Associate Developer certification exam fee. And as always, all course content is free. Easier accessibility to course videos - registration is no longer required! Those who do register gain access to hands-on labs, quizzes, and certifications, as well as the ability to track their progress. Language Subtitles for all new courses . Chinese (Traditional and Simplified), Korean, Spanish, French, and Portuguese subtitles are now available. Short form content on newer features . Try our new “Learning Bytes” to build knowledge on MongoDB in 20 minutes or less. An enhanced certification experience with 24/7 exam access and robust study materials, including videos, study guides, and practice questions. Additionally, MongoDB University now offers course certificates and digital certification badges through Credly that strengthen your professional profiles on LinkedIn, and can be shared across Twitter and Facebook. Adding these badges will enhance your opportunities for roles that require MongoDB experience and enter you into the Credly talent pool, making you visible to recruiters and hiring managers looking for specific certifications. Updated labs that provide guided, hands-on activities that allow you to practice what you’ve learned and see real-time results of your work. Getting started with MongoDB University Badges Previous certifications continue to be valid and will now include digital badges, so be on the lookout for an email from our badging partner, Credly. You can then accept your MongoDB Certified badge and share it on LinkedIn, Twitter, and Facebook. When you accept, you will also be included in the Credly Talent Directory , which enables recruiters, hiring managers, and others to connect with you about opportunities based on the specific digital credentials you’ve earned. In-progress learning If you currently have in-progress courses with MongoDB University, those courses must be completed by December 1st in order to have your certificate transfer to the new University experience. If you don’t complete a course by the deadline, that course will still be available in the new University, but your progress will not be transferred. Ready to explore all the new possibilities? Get started with the next generation of MongoDB University today. Start learning today !
MongoDB Supports Cutting-Edge Startups with NVIDIA Inception
We are excited to announce that MongoDB for Startups is collaborating with NVIDIA Inception to power cutting-edge startups in AI, autonomous driving, gaming, robotics, healthcare, and more. Here, we answer frequently asked questions to provide a brief overview of the initiative. Why should a startup build its MVP with MongoDB for Startups and NVIDIA Inception? If you are a founder looking to build innovative technologies in AI, data science, gaming, and other breakthrough industries, then you’ll want to leverage MongoDB for Startups (a program that helps startups build faster and scale further with free MongoDB Atlas credits, one-on-one technical advice, co-marketing opportunities, and access to our partner network) and NVIDIA Inception (a free global program designed to nurture cutting-edge startups) for your MVP. Together with MongoDB and NVIDIA Inception, founders can leverage the most intuitive and flexible way to work with data so they can adapt quickly to the changing needs of a growing business. Utilizing MongoDB Atlas , a fully managed multi-cloud developer data platform, startups can scale rapidly while enjoying the freedom to run anywhere with the best cloud environments. NVIDIA Inception members get a custom set of ongoing benefits, such as NVIDIA Deep Learning Institute credits, marketing support, and technology assistance, which provides startups with the fundamental tools to help them grow. What is the MongoDB for Startups program? MongoDB for Startups is focused on creating a valuable technical startup program that enables the success of high-growth startups from ideation to IPO. We designed this program to give startups access to the best technical database for their rapidly scaling ventures. Apply to our program and you will receive: $500 in credits for all MongoDB cloud products (valid for 12 months) A dedicated technical advisor for a two-hour, one-on-one consultation to help you with your data migration and optimization Co-marketing opportunities Access to the MongoDB developer ecosystem and access to our VC partners What is the NVIDIA Inception Program? NVIDIA Inception helps startups in all industries accelerate growth and build their products faster. With more than 10,000 startup members, the program is free and available for tech startups in all stages. Inception members can receive: Up to $100K in AWS cloud credits Technical training and engineering guidance Product discounts Co-marketing and co-selling Customer introductions and VC exposure Apply to NVIDIA Inception and the MongoDB for Startups Program today.
Introducing Pay-As-You-Go MongoDB Atlas on Azure Marketplace
MongoDB was an official sponsor at the recent two-day, jam-packed 2022 Microsoft Ignite event. The centralized theme was “How to empower the customer to do more with less” in the Microsoft Cloud. The interactive conference created a meeting space for professionals to connect in-person with subject matter experts to discuss current and future points of digital transformation, attend workshops, learn key announcements, and discover innovative new offerings. Microsoft officially announced MongoDB to be part of a set of companies that make up the new Microsoft Intelligent Data Platform Partner Ecosystem and we are pleased to highlight our expanded alliance. Our partnership provides a frictionless process for developers to access MongoDB Atlas , the leading multi-cloud developer data platform available on the Microsoft Azure Marketplace . By procuring Atlas through the Azure Marketplace, customers can access a streamlined procurement and billing experience and use their Azure accounts to pay for their Atlas usage. MongoDB is also offering a free trial of the Atlas database through the Azure Marketplace. With the new Pay-As-You-Go Atlas listing on the Azure Marketplace, you only pay for the Atlas resources you use, with no upfront commitment required. You will receive just one monthly invoice on your Azure account that includes your Atlas usage, and you can apply existing Azure committed spend to it. Read the Azure Marketplace documentation to learn how to take advantage of the Microsoft Azure consumption commitment (MACC) and Azure commit to consume (CtC). You can even start free with an M0 Atlas cluster and scale up as needed. A free Atlas cluster comes with 512 MB of storage, out-of-the-box security features, and a basic support plan. If you’d like to upgrade your support plan, you can select one in Atlas and the additional cost will also be billed through Azure. MongoDB offers several support subscriptions with varying SLAs and levels of technical support. Whether you’re a new or existing Atlas customer, you can subscribe to Atlas directly from the Azure Marketplace. After you subscribe, you’ll be prompted to log in or create a new Atlas account. You can then deploy a new Atlas cluster or link your existing cluster(s) to your Azure account. Atlas customers can take advantage of best-in-class database features including: Production-grade security features, such as always-on authentication, network isolation, end-to-end encryption, and role-based access controls to keep your data protected. Global, high availability. Clusters are fault-tolerant and self-healing by default. Deploy across multiple regions for even better guarantees and low-latency local reads. Support for any class of workload. Build full-text search, run real-time analytics, share visualizations, and sync to the edge with fully integrated and native Atlas data services that require no manual data replication or additional infrastructure. New integrations that empower builders, developers, and digital natives to unlock the power of MongoDB Atlas when running on Azure—including PowerApps, PowerAutomate, PowerBI, Synapse, and Purview—to seamlessly add Atlas to existing architectures. With MongoDB Atlas on Microsoft Azure, developers receive access to the most comprehensive, secure, scalable, and cloud–based developer data platform in the market. Now, with the availability of Atlas on the Azure Marketplace, it’s never been easier for users to start building with Atlas while streamlining procurement and billing processes. Get started today through the Atlas on Azure Marketplace listing.
MongoDB and Google Partnership Gains Momentum
In April 2022 MongoDB launched a pay-as-you-go Atlas service on Google Cloud Marketplace. As we said at the time, this offering provides developers with a simplified subscription experience and gives enterprises more freedom in how they run MongoDB on Google Cloud. Since that launch, we've had many hundreds of customers sign up from a wide range of industries including Retail, Automotive, Education, Media & Entertainment, Healthcare, and more. But that's not all that happened in the past six months. Developers clearly love to build data-rich applications with MongoDB Atlas, and just as clearly they love to bring that data to life through Google Cloud's data services like Google BigQuery, Vertex AI, and more. To indulge that developer affection for MongoDB + Google Cloud, the two companies have been busy integrating our managed services to help customers make data smarter, more intuitive, and easier to use—wherever developers choose. Making data smart Modern applications must be able to automate the process of capturing and processing the data within an application. Combining real-time, operational, and embedded analytics enables a business to influence and automate decision-making for the app and provide real-time insights for the user. This year MongoDB and Google Cloud have combined to deliver best-in-class, application-level analytics. For example, in the weeks leading up to Google Cloud Next ’22, Google Cloud and MongoDB announced integration of Google BigQuery and MongoDB Atlas, among other Google data announcements . Many enterprises turn to BigQuery for its powerful, simple approach to data warehousing needs, but applying it to data in MongoDB wasn't always straightforward. To make moving and transforming data between Atlas and BigQuery easier, the MongoDB and Google teams worked together to build Dataflow templates that make it simple to package a Dataflow pipeline for deployment. The two companies also announced the integration of Atlas and BigQuery with Vertex AI to bring the power of Google's machine learning/AI expertise to MongoDB data. Developers can access a reference architecture and demo for retail and finance fraud detection scenarios. More integrations will roll out over the coming months. All of which is great for customers. For years customers like Universe, part of Live Nation, have used MongoDB with Google Cloud services such as Cloud Pub/Sub, Cloud Dataflow, and BigQuery to build data pipelines and more. In early 2022, Forbes, a 100-year old leader in business journalism, turned to MongoDB and Google Cloud to deliver a recommendation engine for its journalists, which uses Google Cloud's machine learning services to make suggestions to appropriate contributors. These and other customers have discovered that MongoDB's data platform and Google's data services are truly better together. Making data intuitive All those data smarts don't amount to much if developers can't easily make use of them. Over the past six months, MongoDB and Google Cloud have further partnered to ensure a simple, intuitive developer experience. For example, we've made it incredibly easy to deploy a serverless, MEAN stack (MongoDB, ExpressJS, AngularJS, NodeJS) application with Google Cloud Run (you can read the how-to or watch a video tutorial). Similarly, we've also combined with Vercel to make it simple to build full-stack serverless apps. Serverless means you don't need to worry about any hassle associated with managing infrastructure, and Cloud Run means deployment is also a breeze. More collaboration like this will follow, all with the goal of reducing developer friction and making it easier to use stacks that combine Google and MongoDB products together. Additionally, we've made it straightforward for developers to extend their MongoDB applications with APIs using Google's Apigee, a platform for managing and securing their APIs. For example, developers increasingly turn to Apigee and MongoDB to help enterprises pull data from legacy systems without needing the cumbersome process of integrating legacy systems. Recently, the MongoDB connector has been released in pre-GA to help developers build their APIs with MongoDB even more quickly. Developers love these and other integrations. For example, Conrad, a leading European retailer, needed to find a way to build an online B2B marketplace for its own and third-party products. Conrad turned to Atlas and Google Cloud. Together, the companies partnered to help Conrad shift to a microservices-based architecture and delivered a simple, fast, and comprehensive data environment. In like manner, TIM, a global fixed, mobile, cloud, and data center service provider, has leaned on Atlas and Google Cloud to create a dynamic data infrastructure, which has led to a dramatic improvement in customer satisfaction scores. Making data omnipresent MongoDB has always put a premium on developer flexibility, which has not only meant unparalleled support for a wide variety of languages, frameworks, etc., but also flexibility in deployment, including multicloud. Google, for its part, has been a leader in multicloud with Anthos, a platform that enables enterprises to manage GKE clusters and workloads running on virtual machines across environments. It's a way for developers to build once and deploy anywhere, including at the edge, in the data center, or on another cloud, yet with a single cloud control plane. Very cool. Among other benefits, this is a great way for enterprises to meet regulatory and data sovereignty requirements. It is not, however, the only way enterprises can attain that benefit with MongoDB and Google Cloud. As recently announced, MongoDB and Google Cloud have collaborated to give European customers additional choice in where they can securely keep their data, by making MongoDB available on the T-Systems Sovereign Cloud powered by Google Cloud. Finally, MongoDB and Google Cloud have announced the availability of MongoDB Enterprise Advanced on Google Cloud Marketplace. As much as developers love cloud, sometimes they have the need to self-manage MongoDB. With this listing we together offer that freedom. Now is the time to give it a try MongoDB and Google keep giving developers increasingly rich ways to make use of data with operational, application-centered analytics and ML/AI, while also serving up a wide array of choices of where to run those applications. There are many reasons to run MongoDB Atlas on Google Cloud, and one of the easiest is with our self-service, pay-as-you-go listing on Google Cloud Marketplace . Please give it a try and let us know what you think. Try our self-service, pay-as-you-go listing on Google Cloud Marketplace today.
Submit Your Nominations for the 2023 MongoDB APAC Innovation Awards
Nominations are now open for the 2023 MongoDB APAC Innovation Awards. This regional awards program aims to celebrate and recognize organizations in the Asia-Pacific region that are pioneering new ways to use data, expanding the limits of technology, and enhancing their businesses with MongoDB. We invite you to nominate an APAC organization that is building something dynamic, interesting, or innovative with MongoDB. Innovation is critical to business success. Recent research shows a high correlation between innovation and profitability . As a company that's committed to fostering innovation by making it easier to work with data, we want to celebrate organizations that embody the innovative spirit in the products and services they bring to market. Nominations will only be considered for organizations that are headquartered within the Asia-Pacific region, or for global organizations where work with MongoDB has been predominantly completed within the Asia-Pacific region. See the full terms and conditions . 2023 MongoDB APAC Innovation Awards Winners will receive a physical trophy for their display cases, a customer feature story on MongoDB.com, and inclusion in our 2023 APAC Innovation Awards press release and blog post. Winners will also have the opportunity to participate in webinars, media opportunities, and more if desired. View terms and conditions . Submissions will be accepted through November 1, 2022, and winners will be notified by the MongoDB team by the end of November. Read more about each of the award categories below. We look forward to receiving your nominations! Award Categories Customer-Focused: For organizations that create a more meaningful, personalized, and improved customer experience. Positive Impact: For innovators solving challenging issues for society and the planet. From Batch to Real-Time: For organizations building event-driven architectures and surfacing insights in real time. Industry Disruptor: For businesses reinventing industries by transforming customer experiences through new technologies. Heroes in Health: For trail blazers embracing the power of technology to solve the challenges of the pandemic. Organizational Transformation: For organizations shedding legacy systems and using data to uncover new operational efficiencies. Digital Native: For emerging stars and unicorns with both feet in the cloud and high potential for outsized growth. Best in Search: For organizations that have proven to be highly skilled with search capabilities at scale. Submit Your Innovation Awards Nominations Today
Top 5 MongoDB Podcast Episodes in 2022 (so far)
At MongoDB, one of our core values is to be focused on building together. One way we lean into this value is by bringing some of the best voices and stories from the database and tech communities onto our podcast. Podcasts help communities learn and connect. So as we head toward the end of the year, let’s take a look back—or, perhaps, a listen back—to our top episodes based on listens from The MongoDB Podcast so far in 2022. Episode 107 - Introduction to WiredTiger with Dr. Michael Cahill Dr. Michael Cahill co-founded the WiredTiger company and the storage engine by the same name. In our most-listened to episode from 2022 so far, Dr. Cahill sits down with Michael to talk about the storage engine, its strengths and capabilities, and a little about his journey as a database industry legend. Episode 108 - Exploring Postman with Arlemi Turpault In this episode of the MongoDB Podcast, Michael Lynn discusses Postman with Arlemi Turpault, Senior Developer Advocate at Postman. Postman is an application used for API testing. It is an HTTP client that tests HTTP requests, utilizing a graphical user interface through which we obtain different types of responses that need to be validated. Episode 109 - Prisma and MongoDB - Better Together Prisma is an open source ORM for Node.js and TypeScript that helps developers build faster and make fewer errors. On this episode, host Mike Lynn sits down with Nikolas Burk and Matt Miller of the Prisma team to discuss the Prisma + MongoDB launch week. Burk is a Developer Advocate and Miller is a Product Manager at Prisma, and together they outline what Prisma is now capable of with MongoDB support, including effects on developer workflows and efficiency. Episode 106 - Securing the Internet with Josh Aas, Sarah Gran of ISRG In this episode of the podcast, Michael talks with Josh Aas and Sarah Gran of the Internet Security Research Group (ISRG). They walk listeners through their mission to secure the internet through projects like Let's Encrypt , the automated digital certificate authority, and Prossimo , which focuses on transforming risks around memory safety in popular open source projects. MongoDB World Series Our number five blog so far in 2022 was a preview of MongoDB World. But why listen to a preview when you can dive into the actual event? Live at MongoDB World 2022, host Michael Lynn met with a variety of customers, partners, and experts on-site in New York City. Those conversations formed a great series filled with stories, learning and community. Check out the series episodes: Ep. 121 The MongoDB World Series - Oli Proulx from ChargeHub Ep. 120 The MongoDB World Series - Simcha Coleman from Inspirit Ep. 119 The MongoDB World Series - David Sarabia from inRecovery Ep. 118 The MongoDB World Series - Nick Gamble from Unqork Ep. 117 The MongoDB World Series - Beray Bentesen from Qubitro Ep. 116 The MongoDB World Series - Vatsal Singhal from Ultrahuman Subscribe to The MongoDB Podcast wherever you listen to your podcasts so you can stay up to date with all our new episodes, dropping weekly. And if you are a tech expert or enthusiast with a passion for sharing your thoughts, opinions, and stories, connect with Michael Lynn to discuss a podcast guest opportunity.
MongoDB Partners With Codecademy on New “Learn MongoDB” Course
MongoDB is pleased to announce the release of the new "Learn MongoDB'' course , created together with Codecademy. Hosted on the Codecademy platform , the course teaches students the basics of MongoDB and how to perform CRUD operations , query and analyze data , and create and use indexes . With interactive tutorials and quizzes throughout, developers in the “Learn MongoDB” course can educate themselves on the breadth of MongoDB’s developer data platform and learn best practices for building applications on top of MongoDB. And by completing additional coursework on the programming language of their choice on Codecademy, early-career developers can learn how to code across the full application stack. This is a free, self-paced course that takes approximately eight hours to complete. For developers building new applications, identifying the right solution for their data layer is critical. But equally important is learning how to use their solution of choice for maximum reliability and scalability. In addition to documentation and how-to guides, educational courses like “Learn MongoDB” are invaluable for helping developers harness new solutions to their full potential. MongoDB offers MongoDB University , which helps developers advance their careers with MongoDB courses and certifications; we also partner with leading third-party providers of developer educational experiences like Codecademy . If you’re a developer new to working with MongoDB, Codecademy’s “Learn MongoDB” course is a great way to get started. Sign up today!
7 Big Reasons to Upgrade to MongoDB 6.0
First announced at MongoDB World 2022, MongoDB 6.0 is now generally available and ready for download now. MongoDB 6.0 includes the capabilities introduced with the previous 5.1–5.3 Rapid Releases and debuts new abilities to help you address more use cases, improve operational resilience at scale, and secure and protect your data. The common theme in MongoDB 6.0 is simplification: Rather than forcing you to turn to external software or third-party tools, these new MongoDB capabilities allow you to develop, iterate, test, and release applications more rapidly. The latest release helps developers avoid data silos, confusing architectures, wasted time on integrating external tech, missed SLAs and other opportunities, and the need for custom work (such as pipelines for exporting data). Here’s what to expect in MongoDB 6.0. 1. Even more support for working with time series data Used in everything from financial services to e-commerce, time series data is critical for modern applications. Properly collected, processed, and analyzed, time series data provide a gold mine of insights — from user growth to promising areas of revenue — helping you grow your business and improve your application. First introduced in MongoDB 5.0, time series collections provide a way to handle these workloads without resorting to adding a niche technology and the resulting complexity. In addition, it was critical to overcome obstacles unique to time series data, such as high volume, storage and cost considerations, and gaps in data continuity (caused by sensor outages). Since its introduction, time series collections have been continuously updated and improved with a string of rapid releases . We began by introducing sharding for time series collections (5.1) to better distribute data, before rolling out columnar compression (5.2) to improve storage footprints, and finally moving on to densification and gap-filling (5.3) for allowing teams to run time series analytics — even when there are missing data points. As of 6.0, time series collections now include secondary and compound indexes on measurements, improving read performance and opening up new use cases like geo-indexing. By attaching geographic information to time series data, developers can enrich and broaden analysis to include scenarios involving distance and location. This could take the form of tracking temperature fluctuations in refrigerated delivery vehicles during a hot summer day or monitoring the fuel consumption of cargo vessels on specific routes. We’ve also improved query performance and sort operations. For example, MongoDB can now easily return the last data point in a series — rather than scanning the whole collection — for faster reads. You can also use clustered and secondary indexes to efficiently perform sort operations on time and metadata fields. 2. A better way to build event-driven architectures With the advent of applications like Seamless or Uber, users have come to expect real-time, event-driven experiences, such as activity feeds, notifications, or recommendation engines. But moving at the speed of the real world is not easy, as your application must quickly identify and act on changes in your data. Introduced in MongoDB 3.6, change streams provide an API to stream any changes to a MongoDB database, cluster, or collection, without the high overhead that comes from having to poll your entire system. This way, your application can automatically react, generating an in-app message notifying you that your delivery has left the warehouse or creating a pipeline to index new logs as they are generated. The MongoDB 6.0 release enriches change streams, adding abilities that take change streams to the next level. Now, you can get the before and after state of a document that’s changed, enabling you to send updated versions of entire documents downstream, reference deleted documents, and more. Further, change streams now support data definition language (DDL) operations, such as creating or dropping collections and indexes. To learn more, check out our blog post on change streams updates . 3. Deeper insights from enriched queries MongoDB’s aggregation capabilities allow users to process multiple documents and return computed results. By combining individual operators into aggregation pipelines, you can build complex data processing pipelines to extract the insights you need. MongoDB 6.0 adds additional capabilities to two key operators, $lookup and $graphlookup , improving JOINS and graph traversals, respectively. Both $lookup and $graphlookup now provide full support for sharded deployments. The performance of $lookup has also been upgraded. For instance, if there is an index on the foreign key and a small number of documents have been matched, $lookup can get results between 5 and 10 times faster than before. If a larger number of documents are matched, $lookup will be twice as fast as previous iterations. If there are no indexes available (and the join is for exploratory or ad hoc queries), then $lookup will yield a hundredfold performance improvement. The introduction of read concern snapshot and the optional atClusterTime parameter enables your applications to execute complex analytical queries against a globally and transactionally consistent snapshot of your live, operational data. Even as data changes beneath you, MongoDB will preserve point-in-time consistency of the query results returned to your users. These point-in-time analytical queries can span multiple shards with large distributed datasets. By routing these queries to secondaries, you can isolate analytical workloads from transactional queries with both served by the same cluster, avoiding slow, brittle, and expensive ETL to data warehouses. To learn more, visit our documentation . 4. More operators, less work Boost your productivity with a slate of new operators, which will enable you to push more work to the database — while spending less time writing code or manipulating data manually. These new MongoDB operators will automate key commands and long sequences of code, freeing up more developer time to focus on other tasks. For instance, you can easily discover important values in your data set with operators like $maxN , $minN , or $lastN . Additionally, you can use an operator like $sortArray to sort elements in an array directly in your aggregation pipelines. 5. More resilient operations From the beginning, MongoDB’s replica set design allows users to withstand and overcome outages. Initial sync is how a replica set member in MongoDB loads a full copy of data from an existing member — critical for catching up nodes that have fallen behind, or when adding new nodes to improve resilience, read scalability, or query latency. MongoDB 6.0 introduces initial sync via file copy, which is up to four times faster than existing, current methods. This feature is available with MongoDB Enterprise Server. In addition to the work on initial sync, MongoDB 6.0 introduces major improvements to sharding, the mechanism that enables horizontal scalability. The default chunk size for sharded collections is now 128 MB, meaning fewer chunk migrations and higher efficiency from both a networking perspective and in internal overhead at the query routing layer. A new configureCollectionBalancing command also allows the defragmentation of a collection in order to reduce the impact of the sharding balancer. 6. Additional data security and operational efficiency MongoDB 6.0 includes new features that eliminate the need to choose between secure data or efficient operations. Since its GA in 2019, client-side field-level encryption (CSFLE) has helped many organizations manage sensitive information with confidence, especially as they migrate more of their application estate into the public cloud. With MongoDB 6.0, CSFLE will include support for any KMIP-compliant key management provider. As a leading industry standard, KMIP streamlines storage, manipulation, and handling for cryptographic objects like encryption keys, certificates, and more. MongoDB’s support for auditing allows administrators to track system activity for deployments with multiple users, ensuring accountability for actions taken across the database. While it is important that auditors can inspect audit logs to assess activities, the content of an audit log has to be protected from unauthorized parties as it may contain sensitive information. MongoDB 6.0 allows administrators to compress and encrypt audit events before they are written to disk, leveraging their own KMIP-compliant key management system. Encryption of the logs will protect the events' confidentiality and integrity. If the logs propagate through any central log management systems or SIEM, they stay encrypted. Additionally, Queryable Encryption is now available in preview. Announced at MongoDB World 2022, this pioneering technology enables you to run expressive queries against encrypted data — only decoding the data when it is made available to the user. This ensures that data remains encrypted throughout its lifecycle, and that rich queries can be run efficiently without having to decrypt the data first. For a deep dive into the inner workings of Queryable Encryption, check out this feature story in Wired . 7. A smoother search experience and seamless data sync Alongside the 6.0 Major Release, MongoDB will also make ancillary features generally available and available in preview. The first is Atlas Search facets , which enable fast filtering and counting of results, so that users can easily narrow their searches and navigate to the data they need. Released in preview at MongoDB World 2022 , facets will now include support for sharded collections. Another important new addition is Cluster-to-Cluster Sync , which enables you to effortlessly migrate data to the cloud, spin up dev, test, or analytics environments, and support compliance requirements and audits. Cluster-to-Cluster Sync provides continuous, unidirectional data synchronization of two MongoDB clusters across any environment, be it hybrid, Atlas, on-premises, or edge. You’ll also be able to control and monitor the synchronization process in real time, starting, stopping, resuming, or even reversing the synchronization as needed. Ultimately, MongoDB 6.0’s new abilities are intended to facilitate development and operations, remove data silos, and eliminate the complexity that accompanies the unnecessary use of separate niche technologies. That means less custom work, troubleshooting, and confusing architectures — and more time brainstorming and building. MongoDB 6.0 is not an automatic upgrade unless you are using Atlas serverless instances. If you are not an Atlas user, download MongoDB 6.0 directly from the download center . If you are already an Atlas user with a dedicated cluster, take advantage of the latest, most advanced version of MongoDB. Here’s how to upgrade your clusters to MongoDB 6.0 .
MongoDB for Startups Is Now an Exclusive Offer in AWS Activate
Starting a new business isn’t easy. MongoDB and Amazon Web Services (AWS) have worked together for more than a decade to create developer tools that simplify the process of building software, while helping startups get going with minimal resources. MongoDB Atlas launched on AWS in 2016 and is now available in more than 20 regions across the world. By providing an integrated set of database and data services and a unified developer experience, MongoDB Atlas on AWS lets companies at all stages build applications that are highly available, performant at global scale, and compliant with the most demanding security and privacy standards. Now we’re taking our startup commitment to the next level by offering MongoDB for Startups as an exclusive offer in AWS’s Activate startup program. MongoDB for Startups MongoDB for Startups helps early-stage companies get started with MongoDB by providing access to MongoDB’s cloud developer data platform, including credits and support on MongoDB Atlas , Atlas Search , MongoDB Realm , and more. Additionally, MongoDB provides dedicated technical advice, shared marketing opportunities, and partnership opportunities to help startups grow their customer base. AWS Activate and exclusive offers AWS Activate also provides startups with a host of benefits, including AWS credits to purchase services, AWS support plan credits to use toward technical help from an expert, and architecture guidance to help grow your business. These Activate benefits offer the right mix of tools, resources, and expert support to help you succeed with AWS, while also optimizing performance, managing risk, and keeping your costs under control. Additionally, within the AWS Activate Console , startups will see member-only exclusive offers and find direct access to MongoDB for Startups. Next steps Learn more about the MongoDB for Startups program, and, if you’re already an AWS Activate startup participant, be sure to check out exclusive offers in the Activate Console for the specific benefits of this partnership. You can try MongoDB Atlas (Pay as You Go) on AWS Marketplace while we review your startup application. To ask us questions in real time, register for our joint webinar covering best startup practices with MongoDB and AWS.
MongoDB Atlas to Expand in the Middle East
We’re proud to announce further expansion in 2023 in the Middle East with the launch of MongoDB Atlas on AWS in the United Arab Emirates (UAE) region. MongoDB Atlas is now available in 22 AWS regions around the world, including eight Asia Pacific regions and three Middle East and Africa regions. The UAE region is an AWS Recommended Region , meaning it has three Availability Zones (AZ), bringing significant infrastructure to the Middle East. After the expansion in 2023, when you deploy a cluster in the UAE, Atlas automatically distributes replicas to the different AZs for higher availability. If there’s an outage in one zone, the Atlas cluster will automatically fail over to keep running in the other two. And you also will be able to deploy multi-region clusters with the same automatic failover built-in. We’re delighted that — as with customers in Bahrain, Cape Town, and more — United Arab Emirates organizations will be able to keep data in their own country, delivering low-latency performance and ensuring confidence in data locality. We’re confident our UAE customers in government, financial services, and utilities in particular will appreciate this upcoming capability as they build tools to improve citizens’ lives and better serve their local users. Get started with MongoDB Atlas on AWS Marketplace