Building the Next Big Thing Together: Announcing MongoDB’s Partners of the Year

Alan Chhabra
May 2, 2024 | Updated: May 13, 2024
#Partners #MongoDB.local NYC '24

Customers demand leading organizations to innovate, scale, and build modern applications at an unprecedented pace. At MongoDB, tens of thousands of companies in over 100 countries trust us with these critical workloads—the workloads that power their modern and gen AI applications. But MongoDB is hardly working alone. The broad MongoDB Partner Ecosystem is critical to serving customer needs across a number of industries, areas of excellence, and geographies.

“Our partners are critical to MongoDB’s success. They help ensure that customers can access our technology easily and that they have the best possible experience when using MongoDB. “This is increasingly important as organizations look to innovate with generative AI, and our partners will play a big role in making this a reality,” said Alan Chhabra, Executive Vice President of Partners at MongoDB. “We work closely together all year, so it’s great to bring our partners together to celebrate everyone’s hard work and success. MongoDB’s partner awards shine a light on growth, determination, and an unwavering dedication to customer needs.”

At .local NYC 2024, we’ve been thrilled to highlight MongoDB’s incredible partners in sessions, hands-on labs, and announcements, including as part of the new MongoDB AI Application Program, which brings together industry-leading consultancies and foundation model providers, cloud infrastructure providers, and generative AI framework providers to help organizations rapidly build and deploy modern applications enriched with generative AI.

We’re also very happy to announce MongoDB’s 2024 partners of the year. The 2024 list spans multiple partner types, industries, and categories and includes both established companies as well as emerging players. See below for more!

Cloud - AI Partner of the Year: AWS

Over the past year, AWS and MongoDB joined forces to make it even easier for customers to augment their gen AI-powered applications with enterprise data, most recently with the integration of MongoDB Atlas as a vector database in Amazon Bedrock’s fully managed Knowledge Base retrieval-augmented generation (RAG) workflow. In addition, MongoDB was named a launch partner for the AWS Generative AI Competency. With additional joint gen AI related integrations in the pipeline, there’s so much more to come!

Cloud - Certified DBaaS Partner of the Year: Alibaba

Alibaba Cloud consistently provides top-tier cloud services, integrating the latest MongoDB features and enhancements to deliver robust, scalable, and secure database solutions to a wide range of industries in China. Alibaba Cloud has the most up-to-date MongoDB services in China, via their ApsaraDB for MongoDB offering, and, along with their dedication to localizing products and services to meet the unique needs of the Chinese market, has solidified Alibaba Cloud’s position as a leading DBaaS provider.

Cloud - Modernization Partner of the Year: Google Cloud

MongoDB has partnered with Google Cloud since 2018, with MongoDB Atlas now available in 32 Google Cloud regions around the world, helping thousands of companies—like Ulta, Keller Williams, and Rent the Runway—adopt cloud-native data strategies. MongoDB and Google Cloud are fundamentally committed to breaking down data silos and ensuring that customers can build using data from any source, in any location, and on any platform. We're proud of our achievements in empowering businesses with data capabilities for digital transformations, and we are committed to further collaboration to help businesses succeed in their journeys.

Cloud - Marketplace Partner of the Year: Microsoft Azure

Microsoft and MongoDB are committed to empowering developers and organizations to build innovative, scalable, and intelligent applications on the Azure Marketplace. Through this partnership, Microsoft has enabled thousands of customers to leverage the power of MongoDB Atlas on Azure, the Data Developer Platform, accelerating their digital transformation journeys.

Services - AI Industry Solutions: Capgemini

Capgemini has developed innovative, MongoDB-based, Gen AI solutions over the last year, addressing multiple industries including insurance, banking, healthcare, retail, energy, and the public sector. Capgemini is one of MongoDB’s most innovative partners, and we congratulate and thank them for translating value propositions into business value!

Services - Modernization Partner of the Year: Accenture

This year, Accenture collaborated with MongoDB—both internally within their Centers of Excellence (COEs) and externally—to modernize client applications and data platforms. Our collaboration enhanced agility, reduced costs, and facilitated smooth integrations into multi-cloud environments. By leveraging MongoDB's modern data platform and gen AI technologies, Accenture used their modernization capabilities to deliver more efficient client outcomes.

Services - Public Sector Partner of the Year: Clarity Solutions

Clarity is our trusted partner for delivering quality professional services for our government customers. Clarity understands the air-gapped environments and have continuously helped MongoDB expand our footprint within various agencies in the public sector. We expect to continue this momentum!

Services - Emerging Markets Partner of the Year: CloudMile

In 2023, CloudMile launched a strategic partnership with MongoDB, leveraging Atlas, our cloud-native developer data platform. This partnership has resulted in both the delivery of modern application and modernization projects to customers across South East Asia. CloudMile enables their teams to convey and deliver the benefits of MongoDB Atlas, and we’re excited to continue growing our business across the region for years to come.

Services - Jumpstart Partner of the Year: gravity9

gravity9 partners with MongoDB Professional Services to consistently deliver high quality Jumpstart engagements for our customers. Their work has accelerated consumption on MongoDB's data platform by consistently securing repeat business from some of our most strategic customers. Thank you gravity9!

Services - Transformation Partner of the Year: McKinsey

McKinsey’s transformational work with MongoDB on their Iguazio MLOps Platform makes them a fitting winner for this award. MongoDB & Iguazio provide unprecedented ease in delivery of data and data science on multi-cloud platforms. Utilizing the combination of MongoDB Cloud and Iguazio’s Data Science Platform allows for rapid implementation of data science projects. We’re thrilled to continue building with McKinsey for years to come.

Services - AI Partner of the Year: Pureinsights

Pureinsights, MongoDB's premier services partner for search and AI, has built one of the best RAG architectures for a large European car manufacturer using MongoDB's tech stack and by leveraging our comprehensive ecosystem for AI. Once deployed in production, the GAI solution will help this manufacturer save millions of dollars in their after sales division.

Startup Program - AI Partner of the Year: Arcee

Arcee, one of MongoDB’s most successful AI startup partners, specializes in training Smaller, Specialized Models (SLMs) that are tailored to customer’s specific data. They then employ metric-guided model merging to seamlessly integrate these custom-trained models with other large language models. This process not only enhances efficiency but also ensures limitless scalability across a broad spectrum of business applications, delivering exceptional performance tailored to meet diverse enterprise needs.

ISV - Industry Solutions Partner of the Year: commercetools

Commercetools’s world-leading composable commerce platform—fully powered by MongoDB Atlas—is driving the future of digital commerce. Through this partnership, commercetools can scale data to match the speed of your commerce experiences, processing real-time operational and analytical workloads for omnichannel and personalized commerce. Commercetools wins this award as they expand MongoDB’s reach into top retail brands, redefine digital commerce, and collaborate with us to deliver innovative solutions to the market.

Technology - AI App Framework Partner of the Year: LangChain

This year, LangChain and MongoDB partnered to simplify the development and deployment of gen AI applications through innovations like vector search, semantic caching, conversation history integrations, dedicated packages, and templates for MongoDB Atlas. The outstanding collaboration between LangChain and MongoDB continues to benefit our joint customers and all developers.

Technology - AI Hosting Partner of the Year: Fireworks

Fireworks AI and MongoDB Atlas came together this year to provide a solution for developers who want to leverage highly curated and optimized open-source models, and to combine these with their organization’s own proprietary data—and to do it all with unparalleled speed and security. Our continued partnership, including our joint go-to-market efforts, represents a milestone in our shared mission of helping developers to unlock the full potential of AI with confidence and efficiency. Congratulations Fireworks!

Technology - Build with Partner of the Year: Informatica

Informatica’s world-class MDM and 360 Applications leverages MongoDB to provide developers and organizations the opportunity to create data-first business applications, where data will drive the function and action of users and provide more opportunities for automation. Together, Informatica and MongoDB enable customers to efficiently create modern, cloud-native, data-driven, industry-tailored applications powered by MongoDB Atlas and with a secure foundation of trusted data from Informatica’s AI-powered MDM application.

Thank you to all of our incredible Partners of the Year recipients! We are grateful to the entirety of our MongoDB partner ecosystem for their dedication in helping deliver incredible experiences for our customers. We will continue working with our partners to build and scale modern, genAI applications on MongoDB.

To learn more about the MongoDB Partner Program, please visit our partners page.

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Building Modern Applications Faster: New Capabilities at MongoDB.local NYC 2024

Today, we kicked off MongoDB.local NYC and unveiled new capabilities across our developer data platform. The updates and capabilities announced today pave the way for a new era of app modernization and will allow developers to unleash the full potential of transformative technology like AI. Here’s an overview of our announcements, from a comprehensive update to MongoDB to AI-powered intelligent developer experiences: This post is also available in: Deutsch , Français , Español , Português , Italiano , 한국어 , 简体中文 . Modern applications need a modern database Cutting-edge modern applications must deliver both an exceptional experience and additional revenue. To meet these demands, developers require a database solution that offers optimal performance, scale, and operational resilience—while maintaining cost efficiency. So today, we’re thrilled to announce the preview of MongoDB 8.0 —the next evolution of MongoDB’s modern database. MongoDB 8.0 is focused on delivering unparalleled performance, scalability, security, and operational resilience to support the creation of next-generation applications, including sophisticated AI-driven solutions. It provides optimal performance by dramatically increasing query performance, improving resilience during periods of heavy load, making scalability easier and more cost-effective, and making time series collections faster and more efficient. Modernizing your next application with MongoDB is now easier As application modernization projects gain momentum, migrations are becoming a pressing reality for development and database teams. Transitioning from legacy relational systems to modern databases like MongoDB is essential to keeping up with technological shifts like AI. However, modernization and migrations have many challenges, from converting complex schemas and translating large amounts of application code to keeping databases in sync during long modernization projects. Announced in June 2023, MongoDB Relational Migrator streamlines the migration process by automating tasks like schema design, data migrations, and application code generation. Maintaining data synchronization is paramount in long-running modernization projects—where legacy relational databases must coexist with MongoDB until the project is complete. Today, we are pleased to announce that MongoDB Relational Migrator is now integrated with Confluent Cloud to support long-running change data capture (CDC) sync jobs. These jobs ensure operational resilience and observability, addressing the complexities of phased transitions without the added burden of managing Apache Kafka independently. Furthermore, migrating from legacy relational databases often involves significant effort in rewriting SQL queries, stored procedures, and triggers, which has traditionally been time-consuming and difficult. Now available in public preview, an AI-powered SQL Query Converter Tool has been introduced to MongoDB Relational Migrator that automates the process of converting existing SQL queries, stored procedures, and triggers to work with MongoDB in languages like JavaScript, Java, or C#. This streamlined approach—paired with MongoDB professional services—enables a simplified migration process that can scale effectively. Helping developers build faster with confidence on MongoDB We recognize the vital role that developers play in the success of every project, which is why we’re dedicated to making their MongoDB experience as seamless as possible. Frameworks are a great way for developers to boost productivity, improve code consistency and quality, and ultimately deliver code faster. For the C# developer community, we are pleased to announce that the MongoDB Provider for Entity Framework Core (EF Core) is now generally available . This allows C# developers building with EF Core to unlock the full power of MongoDB's developer data platform—while still using the EF Core APIs and design patterns they already know and love. And, recognizing the needs of the PHP community, we’re also proud to introduce the Laravel Aggregation Builder . This feature simplifies the process of building complex aggregation queries within Laravel, the most popular framework among PHP developers. By enhancing the integration of MongoDB with Laravel, we aim to boost productivity and ease the complexity of query operations, ensuring PHP developers can also enjoy an optimized development experience with MongoDB. Generating queries and visualizations with AI Since its initial release in 2015, MongoDB Compass has helped developers quickly build and debug queries and aggregations for their application code. Today, MongoDB Compass introduces an AI-powered, natural language query experience , making it even easier for developers to use MongoDB’s powerful Query API. Now generally available, this feature lets developers use natural language to generate executable MongoDB Query API syntax for everything from simple queries to sophisticated aggregations through an intelligent and guided experience. For example, a developer can input "Filter vacation rentals by location, group the remaining documents by number of bedrooms, and calculate the average nightly rental price," MongoDB Compass will suggest code to execute the stages of the aggregation pipeline. Data visualizations are a powerful way of understanding application data, and embedding charts into user-facing applications further enhances their utility and appeal to developers. However, creating visualizations is often hampered by the need for in-depth knowledge of the dataset and proficiency in using business intelligence tools—skills that many developers may not have. Now available in public preview, we introduced an easy-to-use visualization tool with generative AI capabilities in MongoDB Atlas Charts . Using natural language prompts, developers can easily render charts and build dashboards, making visualizing data and enriching their apps simple and fast. For example, developers can input ‘Show me the list of movies released in the last year sorted by genre,’ and MongoDB Atlas Charts will gather data and quickly generate the requested visualization. Today’s announcements underscore MongoDB’s commitment to helping developers innovate quickly and easily. For more about the MongoDB.local NYC 2024 updates, check out the product announcements page on our website.

May 2, 2024

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Staff Engineering at MongoDB: Your Path to Making Broad Impact

Andrew Whitaker is a Senior Staff Engineer at MongoDB. His previous experience spans tiny startups to enormous organizations like AWS, where he held several different roles focusing on databases. Before joining MongoDB, he worked at a startup building optimized machine learning models in the cloud. Read on to learn more about why Andrew decided to join MongoDB in a senior-level engineering role and how his work is driving improvement within our engineering organization. Why MongoDB I have long been a fan of MongoDB’s products and services. MongoDB the database has always been a pleasure to work with – the system “brings joy” to quote a phrase. As a Python developer, I appreciate how the Python driver feels “Pythonic” in a completely natural way. The programmer interacts with the database using Python constructs: dictionaries, lists, and primitive types. By contrast, SQL databases force me to change my mental model, and the query language feels like an add-on that does not blend with the core language. As an engineer, I am always looking to expand my knowledge and grow my skills. The scope of challenges engineers face at MongoDB is what triggered my interest in the company. We obviously have people working on core databases and distributed systems. But, we also have teams dedicated to machine learning, streaming data, analytics, networking, developer tooling, drivers, and many more areas. It is very hard to get bored working at MongoDB. Finally, I would be remiss if I did not mention the people. Overall, MongoDB’s engineering culture prioritizes intelligence, low ego, and an ability to get stuff done. CL/CI (Continuous Learning, Continuous Improvement) Working at MongoDB has provided me with opportunities for continued learning and growth. Though I do not program as much as I did earlier in my career, I have recently been exploring the Rust language. I’m excited by Rust because it avoids the tradeoffs between predictable performance and safety. My work in the search space has given me exposure to the fast moving world of AI: vector embeddings, RAG, etc. For various reasons, I think MongoDB is uniquely positioned to do well in this area. On top of this, I’m working on some initiatives that are not fully public. I can say that one focus area is improving the sharding experience for our customers. We believe MongoDB sharding is best-in-breed. Still, the process requires more manual configuration than we think is ideal: customers select the shard key, cluster type, shard count, etc. We give guidance here, but I think we can raise the bar in terms of offering a seamless experience with less “futz”. I’m also working with the search team. We believe there is a natural affinity between MongoDB’s document model and AI/ML workloads. We have some features in the works that extend this integration in new and interesting ways. I also spend a fair bit of time driving quality improvements across our suite of products. Our CTO Jim Scharf frequently refers to our “ big 4 ” goals: security, durability, availability, and performance. These goals are more important than any feature we build. I’ve been working across the company to help teams define their availability SLO/SLAs. It turns out that measuring availability is a subtle topic. For example, a naive approach of counting the percentage of failed requests can underestimate downtime because customers make fewer requests when a service is unavailable. So, the first step is to clarify the definition of availability. Finally, as a lapsed academic (in a distant life, I was a graduate student at the University of Washington Department of Computer Science and Engineering), I’m always interested in finding ways to bridge theory and practice. I’ve been collaborating with some folks in our research team to drive improvements to our replication protocols. There are theoretical results that suggest it is impossible to simultaneously achieve low latency and strong consistency (“linearizability” in the technical jargon). However, we believe there are intermediate points in the consistency/latency spectrum that have not been fully explored. This work hasn't been made into a product yet, but stay tuned. Flexible working MongoDB is a hybrid company. Like many of our engineers, I work outside the company headquarters in New York City (I live in Seattle). I appreciate MongoDB’s approach to hybrid working and that company leadership, starting with Dev , cares about the well-being of their employees. It seems there are companies that don’t seem to trust their employees to make decisions, such as which days to come into the office, so I’m thankful for the autonomy I receive at MongoDB to work in a way that’s best for me. Remote work has its challenges, but I would say that the benefit for my work/life balance has been transformative. Final thoughts I have found MongoDB engineers demonstrate a strong mix of technical depth, pragmatism, and empathy. I have yet to find the “smart jerk” prototype that seems to exist throughout the tech industry. Overall, I have found MongoDB is open to change and growth at both the team level and the individual level. There is a willingness to evolve and improve that aligns with the company’s values and leadership principles and enables the success of our technology and people. Find out more about MongoDB culture and career opportunities by joining our talent community .

November 20, 2024