MongoDB Assistance to Ukraine, Shut Down of Work in Russia
Over the past few weeks, the situation in Ukraine has escalated into a full-fledged war and humanitarian crisis. We continue to monitor the situation and its impact across the world. At this time, MongoDB does not have any offices or employees based in Russia. We have had limited business operations in Russia. The breadth of the new sanctions from the US and internationally is unprecedented, and MongoDB has taken action to comply with them. We will not sell our cloud services to customers in Russia and Belarus and we will not sell any more MongoDB software to customers in Russia or Belarus. For those in Ukraine, MongoDB is trying to do our part to help in a number of ways. MongoDB employees have donated directly to organizations that are helping people in crisis in the region. MongoDB, as an organization, has offered free Atlas credits to a project called Unterkunft Ukraine , which helps refugees fleeing Ukraine find temporary housing. We are also making free MongoDB Atlas credits available for organizations that are developing software projects to help alleviate the current humanitarian crisis in Ukraine. If you are working on a project that provides assistance in the region, fill out the application to apply for free MongoDB Atlas credits.
MongoDB and AWS Expand Global Collaboration
MongoDB launched as a developer-friendly, open source database in 2009, but it wasn't until 2016, when we released MongoDB Atlas , our fully managed database service, that the full vision for MongoDB truly emerged. Realizing that vision, however, has never been a solo effort. From the earliest days, MongoDB has partnered with a range of companies, but none more closely than with Amazon Web Services (AWS) as we've joined forces to make the developer experience as seamless as possible. Now we're kicking that partnership into overdrive. As announced today , MongoDB is expanding our global partnership with AWS. Though details of the agreement are confidential, the results will not be: Customers stand to benefit from deeper, broader technical integrations, improvements in migrating workloads from legacy data infrastructure to modern MongoDB Atlas, and more. For those of us who have worked to grow this partnership, it's exciting (and rewarding!) to see the scope of the work envisioned by MongoDB and AWS, together. On that note, it's worth revisiting how we got here. Building together From the earliest days , we've positioned MongoDB as the best way to manage a wide variety of data types and sources, in real time, at significant scale. Back then we called it "Big Data," but now we recognize it for what it is: what all modern data looks like. Then and now, MongoDB came with an open license that encouraged developers to easily access and tune the database to their needs. And so they did, with many developers opting to run their instances of MongoDB on AWS, removing the need to buy and provision servers. In fact, almost from the start of the company, we have worked closely with AWS to ensure that MongoDB users and customers would have an excellent experience running MongoDB on AWS. It was a great start, but it wasn't enough. Developers, after all, still had to fiddle with the dials and knobs of managing the database. This began to change in 2011, when the company released the MongoDB Monitoring Service (MMS). MMS made it much easier to monitor MongoDB clusters of any size. By 2013, we rolled MMS, Backup, and other MongoDB services into the MongoDB Management Service, and continued to work closely with AWS to optimize these services for MongoDB customers. Then in 2016, again with extensive AWS assistance, we launched MongoDB Atlas, a fully managed, integrated suite of cloud database and data services to accelerate and simplify how developers build with data. Making life easier for developers was the vision that co-founders Dwight Merriman and Eliot Horowitz had when they started MongoDB (then 10gen) in 2007. That vision has always depended on a strong partnership with AWS. This partnership got even stronger, as we just announced , with the promise of even better serverless options, expanded use of AWS Graviton instances to improve performance at lower cost, and improved hybrid options through AWS Outposts. Beyond product, we'll also be more closely collaborating to reach and educate customers through joint Developer Relations initiatives, programs to reach new customers, and more. As good as our partnership has been, it just got significantly better. Although focusing on how the two companies compete may be convenient (for example, both organizations provide database services), how we cooperate is a more compelling story. So let's talk about that. A mutual obsession Over the past 15 years, MongoDB has built an extensive partner ecosystem around our application data platform. From open source mainstays like Confluent, to application development innovators like Vercel, data intelligence pioneers like BigID, and trusted system integration powerhouses like Accenture, we work closely with the best partners to ensure developers enjoy an exceptional experience working with MongoDB. As already noted, AWS is the partner with which we've worked most closely for the longest time. That partnership has resulted in tight integration between MongoDB and AWS services such as AWS Wavelength, Amazon Kinesis Data Firehose, Amazon EventBridge, AWS PrivateLink, AWS App Runner, Amazon Managed Grafana, and more. We also recently announced Pay as You Go Atlas on AWS Marketplace , giving customers even more options for how they run MongoDB on AWS. Additionally, as part of our new strategic agreement, we'll be offering joint customer incentive programs to make it even easier for customers to run proofs of concept and migrate from expensive legacy data infrastructure to MongoDB Atlas running on AWS. If this seems to paint an overly rosy picture of our partnership with AWS, it's worth remembering that the guiding principle for both AWS and MongoDB is customer obsession. Of course we've had moments when we've disagreed over how best to take care of customers, because every partnership has its fair share of friction. But behind the scenes, our product, marketing, and sales teams have worked together for years to meet customer needs. Customers seem to recognize this. In MongoDB's most recent earnings call, we announced that we now have more than 33,000 customers — including Shutterfly , Cox Automotive , Pitney Bowes , and Nesto Software — many of which choose to run Atlas on AWS. Still not convinced? There's perhaps no better way to understand what MongoDB can do for your organization than to try it. You can try Atlas for free , or you can choose to pay-as-you-go by starting with Atlas on the AWS Marketplace . Either way, we hope you'll let us know what you think.
Submit Your Nominations for the 2022 MongoDB Innovation Awards
Nominations are still open for the ninth annual MongoDB Innovation Awards. The Innovation Awards honor organizations and individuals across a variety of categories 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 organization or individual that is building something dynamic, interesting, or unexpected with MongoDB. MongoDB Innovation Awards All winners will receive a physical trophy for their display case, a digital ribbon for their website, an in-depth feature story on MongoDB.com, recognition during MongoDB World, detailed profiles on our event website, and inclusion in our Innovation Awards press release and blog post. View terms and conditions . Past recipients include Luna Health, Journey Foods, CSX, Riot Games, Cisco Systems, Blerp, Yodel, and The Department for Work and Pensions. Read more about last year’s winners here . We invite you to nominate yourself, your company, a colleague, a partner, or anyone who is building something exciting with MongoDB. Submissions are open through March 18, 2021. Award categories appear below. Winners will be notified by the MongoDB team towards the end of March. We look forward to your nominations! Award Categories: Certified Professional of the Year A Certified Professional who has used their skill set to positively impact the MongoDB community. Customer First Organizations that created a more meaningful, personalized, and improved customer experience. Data for Good Innovators who are taking on some of the more challenging issues affecting society and the planet, transforming the future and making a better world possible. Front Line Heroes Our world has changed dramatically since Covid-19. This award is to recognize technologists who have embraced the power of technology to solve some of the unforeseen challenges of Covid-19. From Batch to Real-Time An Organization that built an event-driven architecture with MongoDB that makes streams of data from source systems available in real time. Going Global An Organization that geographically expanded their cloud data infrastructure with MongoDB Atlas, while remaining in compliance with regional data privacy measures and local regulations. Huge Impact An Organization that realized tremendous value from MongoDB and has seen it make an impact on its bottom line (time savings, cost savings, and/or reduction in operational complexity). Industry Transformation A Change-Maker who moved their business to the next level and disrupted their industry by identifying new technologies, applying new skills, or increasing operational efficiency. Innovator of the Year An organization who exemplifies the world’s most innovative projects in data. The winner is chosen from winners in the other categories. Operational Resilience at Scale An organization that has achieved operational resilience at a massive scale by implementing MongoDB. Savvy Startup This award is for one of the brightest rising stars to graduate from our MongoDB for Startups program. The William Zola Award for Community Excellence A person recognized by the MongoDB community for outstanding contributions in knowledge exchange, facilitating connections, and creating a welcoming experience for all members. Unbound Organizations that have built a best-in-class mobile application, using MongoDB Realm
MongoDB Launches MongoDB Ventures Investment Fund
Fifteen years ago, MongoDB was founded to give developers an intuitive way to work with ever-increasing volumes of highly varied data, moving in or near real-time. Since then, developers, tired of working with data within the narrow rows and columns of relational databases, have enthusiastically embraced MongoDB's flexible document data model to scale further and build faster. With more than 31,000 customers — and approaching $1 billion in annualized revenue — MongoDB is leading the disruption in the data infrastructure market. Since the beginning, we have continued to invest aggressively in our product roadmap to keep enabling developers to build great software. But we are not just building a product, we are building an ecosystem. We want to help foster other companies that will join us in creating a developer-friendly, modern data experience designed for the next generation of applications. Today we announce the launch of MongoDB Ventures, a strategic investment fund to empower innovators who help solve the growing challenges and complexities related to data and developer experience. Alongside investing, MongoDB Ventures also will pair entrepreneurs with executive mentors, support product and go-to-market initiatives, and provide access to partners and customers. How will MongoDB Ventures work in practice? Let’s look at our inaugural investments. Apollo GraphQL is a leader in open source and commercial GraphQL technologies that help engineering teams accelerate application development. Developers trust Apollo to implement their graphs, with more than 17 million monthly open source downloads and more than 10 billion daily queries run on the Apollo graph. "We are excited to welcome MongoDB Ventures as an investor because MongoDB is legendary for its obsession with empowering developers — an obsession we share,” said Geoff Schmidt, Chief Executive Officer of Apollo GraphQL. “The investment will deepen our partnership and drive product innovation, with an initial focus on making it even more seamless for developers to build applications with the Apollo Graph Platform and MongoDB Atlas.” BigID is a leading data intelligence platform that enables organizations to know their enterprise data and take action for privacy, security, and governance. With BigID, customers can make better decisions with their data, achieve compliance, scale with the evolving data privacy and protection landscape, improve data trust, and ultimately reimagine how they manage their data. "Bringing MongoDB Ventures in as a strategic technical investor makes all the sense in the world given MongoDB's success in building an independent, best-in-class cloud offering," said Dimitri Sirota, Chief Executive Officer of BigID. "We're committed to innovating across privacy, security, and governance, and are thrilled to partner with MongoDB to reimagine data management in the cloud." With 15 years spent honing the MongoDB developer experience, we're in a unique position to help discover and empower innovators who share our focus on data and developers. If this sounds like you, please contact us at email@example.com .
MongoDB Hackathon Winners Announced
Ventana Research's Latest Report Highlights MongoDB's Role as a Cloud Data Platform Provider
Ventana Research, a market advisory and research firm, recently published an Analyst Perspective on MongoDB, noting that MongoDB and its application data platform provide businesses the ability to accelerate development and data-driven decision-making. As Ventana Research explains the evolution from traditional databases to modern, cloud-based application data platforms, the study covered multiple trends related to both the present and future of data platform software. We have identified six key trends from MongoDB that were represented in the Ventana Research Analyst Perspective. Non-relational, or NoSQL, databases are on the rise . We see this as evidence of an unprecedented, widespread change in how businesses perceive and use their databases. Cloud-based services and products are rapidly gaining popularity . Given the rise of real-time, data-driven applications, organizations are relying more and more on the flexibility, availability, and functionality of cloud-native data platforms. Such products are ideal for quickly building competitive products, delivering highly personalized experiences, and improving business agility. As a result, operational database requirements will only become more demanding . As applications become more advanced, databases will become a pivotal part of an organization’s success — or failure. We believe that in order to keep up with their applications (and their competition), companies require a comprehensive, powerful application data platform like MongoDB Atlas. Convergence is the name of the game . As companies seek out new and better operational data platforms, both relational and non-relational database providers will venture into areas that were traditionally dominated by their competitors. Examples include non-relational databases (like MongoDB) adding relational features like ACID transactions, or relational databases offering compatibility for non-relational data models like graphs or documents. Companies are increasingly opting for hybrid and multi-cloud models . MongoDB Atlas’ multi-cloud clusters enable users to leverage exclusive provider features (like Google Cloud’s AI tools), improve availability in geographic regions, or migrate data across clouds with no downtime. Non-relational, cloud-native databases are becoming more powerful — and more attractive to customers . Thanks to convergence and competition, non-relational databases are becoming ever more capable. Their advancements include real-time analytics, rich visualizations, and mobile data sync and storage. Read Ventana Research Analyst Perspectives to gain insight into the current data landscape and the possibilities of tomorrow. Updated January 17, 2022.
MongoDB World 2022 Call for Speakers - 5 Tips For a Successful Submission
MongoDB World is back in New York City on June 7-9 2022, and Call for Speakers is open until January 18! We are looking for speakers who can inspire attendees by introducing them to new technologies, ideas, and solutions. If your team is building amazing things with MongoDB, we want to hear about it. Are you passionate about a topic but have no speaking experience? Not a problem. We welcome first-time speakers and encourage speakers from underrepresented groups in technology to apply. We offer outline workshops, slide design training, and one-on-one coaching with a professional speaker coach for all accepted speakers. Additionally, we have an anonymous grading process and your speaker information is hidden from the committee during grading, so we grade the submissions based on content only. Our reviewers have to review a lot of submissions every year. Here are 5 tips for a submission that will stand out from the crowd: Review sessions from previous events — Take a look at our past talks at MongoDB.live 2021 to get an idea of what types of talks we accepted. We also love to hear about topics that are new or unique from what we already have. Have a simple and clear session title — The title is the first thing that our reviewers will see. Puns, creative wordplay, and “hooks” in titles are okay, but make sure that if all someone knew was the title, they still would have some idea what the presentation is about. Include key takeaways in your description — The description is what will convince us to accept your talk. Use the description to explain what the problem is. How did you solve it? Include tons of examples of what you’d talk about. For help developing your description check out the free MongoDB University course and learn more about writing abstracts here . Tell us more in the notes section — Use the notes section to explain the details of your talk in a bit more conversational way. Share your experience with the problem, give us the outline of your talk, or explain why MongoDB World would be less without your talk. Select the right track and session format — We have 8 tracks at MongoDB World this year and 3 different session formats (session, lightning talk, tutorial). Make sure to read the descriptions for each track and submit to the right one for your talk. We review every talk and do our best to move talks to other tracks, but sometimes they can fall through the cracks. Selecting the right track and session format will ensure that your talk is reviewed properly. Call for Speakers is open until January 18, 2022. Don’t miss your chance to be a part of MongoDB World and submit your proposal today! Learn More
Introducing the MongoDB 5.1 Rapid Release
Arriving just a few months after the General Availability of 5.0, MongoDB 5.1 is our first Rapid Release which brings more native time series enhancements, richer analytics, new security options, and overall improvements to platform resilience and developer productivity. Launching alongside MongoDB 5.1 are new capabilities in Atlas Search which will make it easier for users to build fast and rich application search experiences. MongoDB 5.1 marks our accelerated release cadence designed to get new database features and improvements into your hands faster than ever before. MongoDB 5.1 and all future rapid releases will be fully supported on MongoDB Atlas and are available as development releases from our Download Center. Native Time Series Enhancements With optimized time series collections, clustered indexes, and window functions, MongoDB 5.0 made it faster, easier, and lower cost to serve the industry’s fastest growing, data intensive use cases such as IoT platforms and real-time financial analytics. Now with MongoDB 5.1, you can globally distribute your time series applications and further simplify their development: More developer velocity Time series collections can now take advantage of MongoDB’s native sharding to horizontally distribute massive data sets and co-locate nodes with data producers to support local write operations and to enforce the data sovereignty controls. It is common for time series data to be uneven, for example a sensor goes offline and several readings are missed. But in order to perform analytics and ensure correctness of results data needs to be continuous. With densification you can now handle missing data better and build time series apps and analytics faster putting less burden on the developer. Time series collections now also support delete operations . While most time series applications are append-only, users need to be able to invoke their right to erasure so we are giving developers an easy way to comply with modern data privacy regulations. Complete data lifecycle From medical sensors to market data fluctuations, time series means hundreds of millions data points per day. You need to process these massive volumes fast, distill valuable insights then continue to retain the full data set for regulatory purposes - possibly for years - all without incurring skyrocketing costs and data movement complexity. With Atlas Online Archive support for time series, now available in preview, you can do exactly that and seamlessly and economically manage your entire time series data lifecycle. Simply define your own archiving policy, and Atlas handles all data movement for you by tiering aged time series data out of your database into lower cost, fully managed cloud object storage. Rather than delete anything, you can retain all your time series data, preserving the ability to query it at any time alongside your live data for long term trend analytics and machine learning, or for compliance purposes. Support for online archiving is available for MongoDB 5.0 and above. Broader platform support for Time Series Data Our native time series capabilities are supported across the entire MongoDB application data platform making it easy to work with time series data in any context. You can now create time series collections directly from Atlas Data Explorer, MongoDB Compass or MongoDB for VS Code. With support for date binning, date filtering options, and value comparison, Atlas Charts lets you create graphs and dashboards from any Atlas times series collection, easily share insights, and embed visualizations into your applications for a rich user experience. Richer and More Flexible Analytics and Full-Text Search Many developers start out with MongoDB for their operational use cases, and then expand to leverage our platform's versatility in powering analytics and search as well. MongoDB 5.1 includes new features and enhancements that make it easier to unlock insights from your data and improve user experience. Cross-shard joins and graph traversals For most transactional and operational workloads, the document data model largely eliminates the need to join data from different collections. This is because related data can be embedded in sub-documents and arrays within a single, richly structured document – following the principle that what is accessed together is often best stored together. However analytical applications can sometimes require joins to be executed – for example bringing together customers and orders from separate collections. Through the $lookup aggregation pipeline stage, you can have the database join collections for you. The $graphLookup stage gives you the ability to traverse related data, performing “friend-of-friend” type queries to uncover patterns and surface previously unidentified connections in your data. In MongoDB 5.1 we now allow you to use $lookup and $graphLookup to combine and analyze data that is distributed across shards which was not previously possible. Our design gives you even more precision in your code by enabling you to target individual shards as needed. However you don’t need to understand sharding or even know your collection is sharded to run these queries as there is no new syntax for developers to learn. Materializing results for operational analytics The $merge and $out aggregation stages can be used to write the results of an aggregation pipeline in order to create a new collection or create/update an on-demand materialized view . These stages enable users to reduce processing overhead by reading pre-computed results instead of re-running the aggregation each time, and by writing only incremental results when the aggregation results change. Users often want to run resource-intensive analytical queries on secondary nodes in order to avoid performance impacts on the primary — but since only primaries can serve writes, aggregations including $out or $merge could not previously run on a secondary node. Soon, such pipelines will run, performing their query execution work on a secondary node, then automatically directing any writes to the primary. This allows you to offload computationally expensive analytics work to secondary nodes while still being able to materialize the results of that work. This will be accessible via drivers in their upcoming releases. Full-Text Search Facets: now in public preview Faceted search allows users to filter and quickly navigate search results by categories and see the total number of results per category for at-a-glance statistics. With our new facet operator , facet and count operations are pushed down into Atlas Search’s embedded Lucene index and processed locally, taking advantage of 20+ years of Lucene optimizations. This makes workloads such as ecommerce product catalogs, content libraries, and counts run up to 100x faster . Learn more from our Atlas Search facets blog post . New and Enhanced Security Options End-to-end encryption for confidential computing Extending beyond cloud provider Key Management Services (KMS), MongoDB’s unique Client-Side Field Level Encryption will support any KMIP-compliant KMS . This functionality is being released in new versions of drivers that will be available soon. Client-Side FLE delivers some of the strongest privacy and security controls available anywhere today. By using the MongoDB drivers to encrypt the most sensitive fields in your documents before they leave the application you can do three things that are not possible with in-flight or at-rest encryption alone: Protect data while it is in-use, in the memory of your active database instance. The database never sees plaintext, but data remains queryable. Make data unreadable to anyone running the database for you, or who has access to the underlying database infrastructure — this includes MongoDB SREs running the Atlas services as well as cloud provider personnel. Simplify the process of enforcing right to erasure (sometimes called right to be forgotten) mandates in modern privacy regulations such as the GDPR or the CCPA. This is because you simply destroy the key encrypting a user’s PII, and their data is rendered unreadable and unrecoverable — in-memory, at-rest, in backups, and in logs. Google Cloud Private Service Connect We’ve also added a new network security option to MongoDB Atlas with the availability of Google Private Service Connect (PSC). Private Service Connect allows you to create private and secure connections from your Google Cloud networks to MongoDB Atlas. It creates service endpoints in your VPCs that provide private connectivity and policy enforcement, allowing you to easily control network security in one place. Along with VPC Peering, Google Cloud PSC makes it easy to connect your applications and services in Google Cloud to Atlas. Platform Resilience MongoDB 5.1 continues to build out controls for reliability and availability with the following enhancements: We've made a number of changes to WiredTiger internals that improve backups, including minimizing the checkpoints pinned while a backup cursor is open and improving handling of backup cursors that are open for long periods. These improvements will reduce both the operational overhead and storage consumption on the replica node from which the backup is taken. This improvement is available for backups taken from MongoDB Atlas and from self-hosted deployments controlled by Ops Manager or Cloud Manager, and has been backported to MongoDB 4.2 and above. In addition to enhancements affecting backups, WiredTiger checkpointing and locking have been improved to enhance performance when MongoDB is managing many concurrently active collections in a single instance. This is especially useful to multi-tenant applications built on MongoDB. We'll also be adding improvements in upcoming versions of our drivers that support mongos controls to mitigate connection storms in sharded clusters, especially during failover events. These include preferentially connecting to nodes that have existing idle connections that can be reused, improving the matching of connection pool sizing across replica set members, limiting the rate of new connections, and adding a mechanism to limit the number of mongos servers used when connecting to sharded clusters via SRV records. Improved Productivity for C# Developers Making it easier for developers to query and manipulate data is at the core of our mission as the modern application data platform. For C# developers the LINQ API serves as the main gateway between the language and database. In MongoDB 5.1 we are improving developer productivity for our C# community with a completely redesigned LINQ interface that lets developers write all of their MongoDB queries as well as build sophisticated aggregation pipelines natively in C#. Getting Started with MongoDB 5.1 You can learn more about all of the new features and enhancements in MongoDB 5.0 and 5.1 from our Guide to What’s New . MongoDB 5.1 is available now. If you are running Atlas Serverless instances or have opted in to receive Rapid Releases in your dedicated Atlas cluster, then your deployment will be automatically updated to 5.1 starting today. For a short period after upgrade, the Feature Compatibility Version (FCV) will be set to 5.0; certain 5.1 features will not be available until we increment the FCV. MongoDB 5.1 is also available as a Development Release for evaluation purposes only from the MongoDB Download Center. Consistent with our new release cadence announced last year, the functionality available in 5.1 and the subsequent Rapid Releases will all roll up into MongoDB 6.0, our next Major Release scheduled for delivery in 2022. I really look forward to hearing what you think about MongoDB 5.1, and can’t wait to tell you what’s new in the 5.2 Rapid Release scheduled for next quarter. Safe Harbour Statement The development, release, and timing of any features or functionality described for our products remains at our sole discretion. This information is merely intended to outline our general product direction and it should not be relied on in making a purchasing decision nor is this a commitment, promise or legal obligation to deliver any material, code, or functionality.
Congratulations to the 2021 Innovation Award Winners!
The MongoDB Innovation Awards honor projects and people who dream big. They celebrate the groundbreaking use of data to build compelling applications and the creativity of professionals expanding the limits of technology with MongoDB. This year the company received entries across dozens of industries, ranging from disruptive, emerging start-ups to industry-leading global enterprises. We are thrilled to announce the 12 winners who are being honored this year during MongoDB.live. William Zola Award: Michael Höller - An independent software architect, system integrator, and backend developer, Michael is the first MongoDB Champion to earn the rare Evergreen forum badge for his unwavering support of the MongoDB Community. Dual-certified as both a MongoDB Developer and DBA, Michael generously shares his expertise with community members of all levels in the MongoDB forums. He also organizes the DACH Virtual Community User Group, and even finds time to #BuildTogether with MongoDB employees on presentations and in chats during online streams. Michael is one of the first-timers, consulting on MongoDB projects since 2014. Customer-first Award: Luma Health - As COVID-19 took the world by storm, Luma Health jumped into action to partner with health systems and providers to leverage their platform to run some of the largest mass vaccination sites and help clinics scale from hundreds to thousands of appointments, ultimately leading to nearly 2 million vaccination appointments. Data for Good Award: Journey Foods - This company solves food science and supply chain inefficiencies with software in order to help companies feed 8 billion people better. To date, Journey Foods has established a database of over 11 billion ingredient insights. From Batch to Real Time Award: CSX - A leading provider of transportation and supply chain solutions, CSX is redefining freight rail. Embracing event-driven architecture, the company has improved engagement with safety information produced by Positive Train Control (PTC) systems by putting PTC data on MongoDB. Leveraging MongoDB, CSX receives the data real-time – enabling smarter and faster decision making and better ensuring safety regulations are met for the company’s around-the-clock operations. Front Line Heroes Award: Ahmad Awais for The “CORONA CLI” Project - Awais built a CLI command-line tool to track COVID-19 in March 2020. As COVID-19 spread, the project termed “corona-cli” became the number one trending repository on GitHub. To date, this project has served several billions of API requests making COVID stats accessible throughout the world with 53 different releases and extensive functionality built/contributed by 15+ developers. Going Global Award: Riot Games - Founded in 2009 to change the ways games were developed, Riot has created the most-played PC game in the world and expanded to 20+ offices worldwide in only 12 years. A game platform developer and his team migrated their data to MongoDB Atlas to manage B2B billing and player IP validation data for all of their games globally. Industry Transformation Award: American Airlines - As a network air carrier, American’s purpose is to care for people on life’s journey. During COVID-19, American Airlines passionately pursued efficiencies, particularly those enabled by technology. American Airlines created an operational data layer on MongoDB in the cloud for critical flight information, which enabled other services to move to the cloud and consume data from the modern cloud-based data fabric. Jackpot Award: Cisco Systems - Cisco is the worldwide leader in technology that powers the Internet. This global brand completed the Cloud native migration of its highly critical Commerce Quoting platform, which serves more than 225K users and 4M application hits daily worldwide. The result has been no application downtime for releases, improved performance, lower TCO, and significantly better developer productivity. Savvy Start-Up Award: Blerp - The audio expression platform that makes it easy to enhance any moment with sound clips. Millions of Blerps are being shared on their two largest integrations on Twitch and Discord. Unbound Award: Yodel - Yodel is an independently owned parcel carrier, delivering around 190 million parcels each year for many of the UK’s leading retailers and businesses. An early adopter of Realm Sync following its GA release in February 2021, Yodel uses MongoDB to sync parcel-scanning data from employee devices up to Atlas - and in the opposite direction, pushing down large data volumes to devices via the MongoDB Kafka Connector. By streamlining the process of scanning parcels and reducing the time drivers need to spend in service centers, Yodel expects to achieve increased productivity and cost savings. Certified Professional of the Year Award: Sydney Herrera - After becoming certified and while assisting a large governmental organization in a mainframe modernization effort - which involved transforming multiple massive, disparate mainframe datastores into a cohesive and application-focused MongoDB data warehouse, Sydney was faced with the challenge of assisting developers with building efficient applications. He created a tool called proactive query analyzer (PQA) that was rolled out into the organization. PQA is an automated tool that analyzes queries sent to MongoDB and provides feedback and suggestions before queries are implemented to aid developer teams. For the People Award & Innovator of the Year Award: The Department for Work and Pensions (DWP) is the UK’s biggest public service department responsible for distributing over £190 billion annually in welfare, pensions and child maintenance to over 20 million citizens. With an unprecedented spike in demand due to the COVID-19 crisis, the Universal Credit platform was able to scale seamlessly, underpinned by MongoDB databases, to meet the tenfold spikes in claims from people who needed DWP’s support. The information contained in the above descriptions was provided by the relevant award winners or obtained from publicly available information.
MongoDB Partner of the Year Award Winners 2021
The last 12 months have been a remarkably challenging time, with widespread changes affecting the entire world—and certainly the IT industry—like never before. However, the pandemic has also brought customers and partners further together to solve common problems, and in particular, one major trend we’ve seen accelerated is the move toward cloud modernization. At MongoDB, we’re committed to help our customers evolve to this next stage of necessary innovation and are so grateful to our 1000+ Partners who help make it happen. A handful of strategic partners went above and beyond and I would like to congratulate Featurespace, Zaloni, Carahsoft, TCS, PeerIslands, Alibaba, AWS, and Google Cloud as our Partners of the Year! I’m excited to have shared this year’s winners during my Partner Keynote at MongoDB.live. You can still head to MongoDB.live to watch it on demand. Independent Software Vendor (ISV) Partner of the Year Feature Space is a disruptive company in the security space and the inventor of Adaptive Behavioral Analytics and Automated Deep Behavioral Networks technology for fraud and financial crime management. Trusted by the world’s largest banks, insurance companies and gaming organizations, Feature Space embeds MongoDB as their database platform, for both on-premise and SaaS deployment offerings. Learn more about the partnership here . Technology Partner of the Year Zaloni is a MongoDB data supply chain and modernization partner that helps its customers catalogue and transform their data to enhance analytics and real-time applications. A recent engagement with a fleet management client required Zaloni to move and modernize four billion records of data built on SQL to new microservices in the cloud. Using MongoDB Atlas, Zaloni helped their client successfully scale and reach new levels of customer satisfaction. Learn more about the partnership here . Reseller Partner of the Year Carahsoft is a trusted, long-standing partner and they continue to be one of MongoDB’s largest resellers in the world. Carahsoft’s depth and reach in the Public Sector market helps government agencies leverage Open Source technologies to drive innovation, maximize cost efficiencies and achieve success for their digital modernization initiatives. They’ve been critical to growing MongoDB’s agency, civilian and DOD business and we’re excited for what’s next. Learn more about the partnership here . Global System Integrator Partner of the Year Tata Consultancy Services , a leading multinational IT services and consulting company, leverages its IP-based solutions to accelerate and optimize service delivery. TCS MasterCraft™ TransformPlus uses intelligent automation to modernize and migrate enterprise-level mainframe applications to MongoDB’s leading-edge architecture and database. Together, TCS and MongoDB simplify and accelerate the customer journey to the cloud. Learn more about the partnership here . Boutique System Integrator Partner of the Year PeerIslands is a boutique consultancy focused on helping clients accelerate product development with cloud-based solutions. An invaluable MongoDB partner with expertise in ecommerce and inventory management modernization, PeerIslands has helped MongoDB’s ISV and retail customers modernize, moving software built for on-prem to SaaS environments more conducive to cloud environments. Learn more about the partnership here . Cloud (Emerging) Partner of the Year Alibaba Cloud is one of MongoDB’s largest Cloud OEM partners in the world. In our second year of our partnership with Alibaba Cloud as an authorized MongoDB-as-a-service solution, MongoDB has seen some of our strongest adoption numbers yet in mainland China. With this partnership, Alibaba Cloud ensures end-to-end management and support for customers on current and future versions of MongoDB, with the ability to escalate bug fixes and support issues on their behalf. Users of Alibaba Cloud’s platform offering receive easy access to the latest MongoDB features and capabilities, backed by comprehensive support from Alibaba Cloud and MongoDB, and we remain thrilled to scale this partnership. Learn more about the partnership here . Cloud (Co-Sell) Partner of the Year AWS provides a massive global cloud infrastructure that allows customers to rapidly innovate and iterate. Over the past year, MongoDB and AWS sellers came together to help customers modernize, accelerate consumption of EDPs, and close on major cross-industry and cross-vertical deals around the world. We’ve partnered together to help customers build modern, event-driven serverless applications. And as recently as April 2021, we launched a new AWS Quick Start for MongoDB Atlas, which allows AWS customers to quickly and easily launch a basic MongoDB Atlas deployment from the AWS CLI or console, taking advantage of AWS CloudFormation’s seamless automation. We also released integrations for Atlas with Amazon EventBridge, Amazon Kinesis, AWS App Runner, AWS PrivateLink, AWS Wavelength, and more in the last year. With additional integrations in the pipeline, we know there’s so much more to come with our partnership. Learn more about AWS and MongoDB here . Cloud (Marketplace) Partner of the Year Google Cloud views the database as an essential building block of cloud infrastructure. Since launching MongoDB Atlas on Google Cloud Marketplace over the past two years, our partnership has seen rapid adoption and acceleration across industries such as gaming, retail, healthcare, financial services, and automotive. In the last 12 months, we have integrated Atlas with more Google services, including DataStream, BigQuery, DataFlow, Cloud Run, App Engine, and Cloud Functions, helping our joint customers innovate faster. Additionally, Google Cloud’s mainframe modernization solutions now support MongoDB Atlas and help customers convert legacy COBOL code on mainframes into modern Java-based applications built on MongoDB. Together, G4 and MongoDB Atlas accelerate the modernization and migration process for organizations moving their business-critical workloads to the cloud. More and more of Google Cloud’s customers are choosing to run MongoDB Atlas for a variety of needs, such as managing large-scale product catalogs of popular e-commerce websites, building great customer experiences by unifying disparate pieces of data, or building modern global web and mobile applications. Learn more about the partnership here .
Fine-Tune Relevance in MongoDB Atlas Search with Function Scoring and Synonyms
MongoDB Atlas Search is an embedded full-text search solution in MongoDB Atlas that gives developers a seamless and scalable experience for building fast, relevance-based application features. We announced its general availability last year at MongoDB.live 2020 and over the past year we’ve introduced many new features, including a visual index builder, search query tester, custom analyzers , and wildcard path queries . This year at MongoDB.live 2021 , we’re excited to highlight two new capabilities that help developers tune the relevance of search results. See how easy it is to get started with MongoDB Atlas Search in this demo video by Marcus Eagan, Senior Product Manager for Atlas Search. Building relevance into search results Understanding the behavior of your users is essential when thinking about search result relevance. People don’t always tell you what they want, and they sometimes use words or phrases that don’t match your content exactly. To cover these scenarios, you can use full-text search features like function scoring and synonyms. Influence search rankings with function scoring There are often multiple factors that influence how search results should be ranked. For example, let’s say you have a restaurant finder application. The explicit inputs are things like the user’s location and what they’re searching for, but what’s implied is that they likely want to see highly rated restaurants or ones with more reviews. What’s Cooking: a sample restaurant finder application using MongoDB Atlas Search Function scoring allows you to influence the order of results returned by manipulating the score of each result. In Atlas Search, that means you can use a numeric field in a document and apply a mathematical expression to it. For example, you might want to increase the score of restaurants that are sponsored or have higher star ratings. This can easily be accomplished within the same search query by simply adding the function option to the score parameter of your query. Learn more about how to use function scores in our developer tutorial . Show results for more search queries with synonyms Synonyms are often used to define terms that are semantically similar to each other to improve search results. For example, someone searching for “noodles” might want to find results for “spaghetti”, “chow mein”, or “pad thai”. Synonyms can also help with typos, especially on mobile and small keyboards. In Atlas Search, you can define collections of synonyms for a search index via the API. Synonyms can be explicit (one-way) or equivalent (two-way). Explicit synonyms are good for defining relationships between terms that are subsets of each other, like the noodle example above: “spaghetti”, “chow mein”, and “pad thai” are all explicit synonyms for “noodles”, but not each other (you don’t want results for “chow mein” in a search for “spaghetti”). Equivalent synonyms are often used for terms that have regional variations or are otherwise interchangeable both ways, like soda and pop, or Kleenex and tissues. What's next for Atlas Search Developers are increasingly turning to full-text search to make content more discoverable and relevant for application end users. With Atlas Search, we hope to not only make building full-text search easier, but also more powerful and expressive. Join our community to ask questions and find out what other developers are building with Atlas Search and let us know what you think we should build next in our feedback forums .
Introducing Serverless Instances on MongoDB Atlas, Now Available in Preview
Since we first launched MongoDB Atlas in June 2016, we’ve been working towards building a cloud database that not only delivers a first-class developer experience, but also simply just works: no setup, tuning, or maintenance required. Over the years, this has led to features like auto-scaling and click-to-create index suggestions , along with numerous optimizations to our automation engine. We’re excited to announce that we’re one more step closer to realizing this vision with the introduction of serverless databases on MongoDB Atlas . Think less about your database, and more about your data Serverless computing and NoOps have emerged as popular trends in modern application development. Cloud functions are commonly used to power business logic in applications, and many teams rely on completely automated IT operations. The appeal of serverless technology is hard to deny: elastic scaling eliminates the need for upfront resource provisioning and ongoing maintenance, and consumption-based pricing means paying only for resources that are used. It abstracts and automates away many of the lower-level infrastructure decisions that developers don’t want to have to learn or manage so they can focus on building differentiated features. When it comes to databases, compute and storage resources have traditionally been tightly coupled. Applying a serverless model to databases means decoupling them and changing the way engineering teams think about infrastructure. Rather than asking a developer to predict an application’s future workload patterns, break them down into individual resource requirements, and then map them to arbitrary units of database instance sizes, serverless databases offer a much simpler experience: define where your data lives, and get a database endpoint you can use. This not only streamlines the database deployment process, it also eliminates the need to monitor and adjust capacity on an ongoing basis. Developers are free to focus on thinking about their data rather than their databases, and leave the lower-level infrastructure decisions to intelligent, behind-the-scenes automation. Serverless instances on MongoDB Atlas All customers now have the ability to create a serverless database on MongoDB Atlas with the introduction of serverless instances , announced at MongoDB.live 2021 . It’s incredibly easy to get started: simply choose a cloud region and you’ll receive an on-demand database endpoint for your application. Serverless instances always run on the latest MongoDB version so you never have to worry about backwards compatibility or upgrades. You can view and manage them using the same UI and API as your existing database deployment on Atlas (i.e., clusters), and they come with end-to-end security, continuous uptime, metrics, alerts, and backups. Watch this demo of how to create a serverless instance on MongoDB Atlas This new deployment type will be available in preview, so it doesn’t yet support all of the features and capabilities available on clusters today. It’s ideal for infrequent or sparse workloads, or development and testing workloads in the cloud. If you’re running a high-throughput production workload, dedicated clusters are still the recommended deployment option. A hands-free database experience This is the first of many releases, and we have an ambitious roadmap ahead. We will continue to invest in making working with data ever more seamless and delightful for developers, from adding support for newer Atlas capabilities like full-text search and native visualizations , to even more intelligent automation and optimization. Create your own serverless instance on MongoDB Atlas. Try the Preview If you have feedback or questions, we’d love to hear them! Join our community forums to meet other MongoDB developers and see what they’re building with serverless instances. What's next for MongoDB Atlas Serverless instances are just one of many new additions to Atlas that we hope will make developers’ lives easier. Earlier this year, we added index removal suggestions to Performance Advisor and released a quick start for creating and managing clusters via the command line with the MongoDB CLI . We are also working on integrations with Vercel and Netlify , two popular serverless application platforms, to give developers an easy way to get started on MongoDB Atlas. What would make your development experience better on MongoDB Atlas? Share your feature requests in our feedback forums .