Congratulations to the 2023 North America Innovation Award Winners

MongoDB
June 22, 2023 | Updated: September 13, 2023

We are delighted to announce this year’s recipients of the 2023 North America MongoDB Innovation Awards. These awards honor projects and people who dream big and we are proud to celebrate the winners’ groundbreaking use of data to build compelling applications, as well as the creativity of these professionals who are expanding the limits of technology with MongoDB.

This year, MongoDB received entries across dozens of industries, ranging from disruptive, emerging start-ups to industry-leading global enterprises. All of our nominees demonstrated an unfailing commitment to delivering great customer experiences, and each embraced MongoDB Atlas to solve their most pressing challenges. Our three winners are no exception — we invite you to learn more about them below.

Optimizing for Impact

With a focus on innovation, quality, and customer satisfaction, Ford is a leader in the automotive industry and a household name around the world. Ford is committed to developing advanced technologies that enhance the safety, performance, and sustainability of its vehicles. Their Data Explorer and Transportation Mobility Cloud applications aggregate customer vehicle data from 24 different sources at a volume ranging up to 15 TB. Since migrating to MongoDB Atlas from their previous solution, Ford has seen a 50% performance improvement and faster read/write times for their nearly 2,000 registered users.

Inspiring Innovation

Hugging Face, one of the leading voices in the open source, generative AI space, develops tools for building applications using machine learning. Its platform allows users to share ML models and datasets, and its most notable transformers library was built for natural language processing applications. After migrating from MongoDB Community to MongoDB Atlas, Hugging Face now relies on our developer data platform for its out-of-the box security compliance, change streams that speed decision-making, a simplified infrastructure managed with a single control plane, and MongoDB’s many integrated services that reduce time spent on maintenance.

Building the Next Big Thing

Radial has been the trusted fulfillment solution provider for nearly 35 years, powering many of the world’s largest and best ecommerce retailers and brands. When faced with the need to improve performance and reduce latency from their on-premises solution, Radial knew they needed a modern, cloud-based solution to retain their top customers. Since moving their mission-critical applications - Order Management System (OMS) and Availability Service - to MongoDB’s developer data platform, Radial has scaled rapidly and expanded their key customer accounts. For example, MongoDB Atlas enabled Radial to process $150M in sales in a single day.

Once again, congratulations to our winners for their accomplishments. We hope these stories inspire you to build the next big thing and drive innovation at scale with MongoDB Atlas.

Find out Who Uses MongoDB and read more about our customers’ MongoDB Atlas successes.

Head to the MongoDB.local hub to see where we'll be showing up next.

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Recap of Product Announcements at MongoDB.local NYC, 2023

This post is also available in: Deutsch , Français , Español , Português , 中文 Today at MongoDB.local NYC , we unveiled several new capabilities across our developer data platform to help users and customers build, iterate, and scale their applications with MongoDB. Development teams are being asked to deliver compelling and differentiated user experiences that are faster and smarter than ever before. At the same time, they must do so as quickly and as efficiently as possible. MongoDB’s developer data platform is essential for teams who strive to innovate quickly and efficiently. It allows developers to support a wide variety of application use cases in their organization through a unified API and eliminates the need to bolt-on, learn, and maintain separate database point solutions. Expanding the range of modern applications you can build on MongoDB A new generation of AI-powered experiences are being developed where vectors serve as a foundational element that makes these applications possible. Vectors are mathematical representations of the characteristics of unstructured data — including text, images, videos, audio files, and more — and occupy n-dimensional space where n is the number of characteristics in the dataset. Whether data is similar or not is based on the distance between vectors in this n-dimensional vector space. A vector database allows users to query vectors to determine what’s similar or related, without relying on keyword matching. Announced today , Atlas Vector Search allows you to store, index, and query vectors alongside your operational and transactional data in documents without the overhead of adding, learning, and maintaining another database system. The addition of vector search to MongoDB Atlas enables teams to deliver more relevant, context-aware results to end-users, including the ability to augment applications built on Large Language Models (LLMs) with proprietary data to improve accuracy and performance. Atlas Vector Search is available today in public preview. Applications today also need to be more real-time than ever, but processing streams of data and bringing them into applications is complex and challenging. Most organizations introduce a stream processing point solution with a different set of APIs, drivers, and tools that create a fragmented developer experience, operational complexity, and additional cost. Coming soon in private preview , Atlas Stream Processing will transform how development teams build event-driven applications. Developers can use the same query language and flexible document data model to work with both streaming data and their data in the database for use cases ranging from monitoring network traffic for intrusions to conducting live route planning based on current road conditions. Companies such as Albertsons , Glassdoor , and Anywhere Real Estate , the largest franchisor of residential real estate brands in the world, depend on Atlas Search to deliver full-text functionality in their applications without having to deploy and sync data from their database to a separate search engine. With new search query analytics , developers will gain insight into what their end users are searching for, enabling them to better refine and customize their search logic. In addition, Atlas Search indexes can now be created and managed in language drivers (starting with Node.js), MongoDB Compass , and the MongoDB Shell , making it easy for developers who prefer to work with their indexes programmatically. And finally, dedicated search nodes were announced today in private preview, which will enable teams to independently scale and optimize resources for their search workloads for improved performance at scale, higher availability, and faster index builds. Improving the foundation of performance, scale and security The work we’re putting into improving the performance, scalability, and security of our developer data platform is just as important as increasing its range of functional capabilities. Starting with MongoDB 7.0, improvements to query execution will reduce the number of disk reads, compute resources, and memory required to execute certain queries, delivering improved performance and more efficient resource consumption. In particular, the new query execution strategy will speed up grouping and reshaping documents, filtering and sorting documents, and $lookups used for joining data across collections. Last year we introduced queryable encryption in preview. This industry-first searchable encryption scheme allows users to encrypt sensitive data fields — such as personally identifiable information — client-side, and store that data as fully randomized encrypted data in the database, all while preserving the ability to run expressive queries. With MongoDB 7.0, queryable encryption will support equality search, with support for range, prefix, suffix, and substring queries to follow. MongoDB 7.0 will be generally available later this summer. Continued focus on a first-class developer experience Few things are more critical to software development than ensuring a top-notch developer and operational experience. We remain dedicated to improving the usability of our products and expanding the set of tools available to developers for building with MongoDB. Kotlin is emerging as a popular language for both mobile development and server-side development. Today we unveiled a new official Kotlin driver , allowing Kotlin developers to build applications on MongoDB with confidence, knowing we are committed to supporting this fast-growing language community. We also released PyMongoArrow , a new library for developers and data analysts to easily export data in MongoDB to Python-based analytics stacks, including Apache Arrow, Pandas, and NumPy. As more companies optimize their DevOps pipeline, tooling that enables programmatic automation can greatly improve efficiency and productivity. Developers can now provision resources on MongoDB Atlas using the Amazon Web Services Cloud Development Kit (AWS CDK) in C#, Go, Java, and Python, as well as with Node.js and Typescript. Companies who leverage Kubernetes can use the MongoDB Atlas CLI to install the Atlas Kubernetes Operator and export existing deployments for simpler infrastructure management and provisioning. Path to application modernization Application modernization continues to be a key investment for many enterprises to unlock rapid software iteration to meet ever-evolving application requirements. MongoDB Relational Migrator , now generally available , helps accelerate and de-risk migrations from common relational databases — including Oracle, SQL Server, MySQL, and PostgreSQL — to MongoDB. Not only does this tool handle the data migration itself, it also allows migration teams to view MongoDB data modeling recommendations, define schema changes with a visual interface, and generate application code in their programming language or framework to get a head start on refactoring their applications to reflect the newly designed MongoDB schema. To see more announcements and get the latest product updates, visit our What’s New page. Head to the MongoDB.local hub to see where we'll be showing up next.

June 22, 2023
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MongoDB is a Leader in The Forrester Wave™: Translytical Data Platforms

We’re pleased to announce that MongoDB has been recognized as a Leader in the recently released Forrester Wave™: Translytical Data Platforms, Q4 2024. The report—which highlights “Leaders, Strong Performers, Contenders, and Challengers” and is “an assessment of the top vendors in the market”—notes that “MongoDB is an excellent choice for organizations looking to enhance their document and NoSQL platforms with real-time insights by leveraging translytical capabilities.” What are translytical capabilities? So what are translytical capabilities? In short, modern applications use a growing number of data types for transactional, operational, and analytical uses. Developers can silo different data types and workloads into separate systems, but this causes architectural complexity and reduced agility for teams. A better approach—and one that speeds development—is to leverage a single platform that can store and use multiple data types for different purposes. Forrester defines these “translytical data platforms” as “next-generation data solutions built on a single database engine to seamlessly support transactional, operational, and analytical workloads without compromising data integrity, performance, or real-time analytics.” That’s why we built MongoDB Atlas as a developer data platform. It brings data like documents, vectors, streaming, and time-series together in one system so that you can run transactional, operational, and analytics workloads in one place. How Forrester measured translytical capabilities To measure providers, Forrester evaluated 15 of the most significant translytical data platform vendors against 26 criteria. These criteria span current offering and strategy, to market presence. Being recognized as a Leader is based on an organization’s scores in both current offering and strategy categories for criteria like vision and innovation. Forrester gave MongoDB the highest possible scores across nine criteria, including: Multimodel 1 Search Development Tools / API Scale optimization Streaming Platform management Roadmap Adoption Number of customers According to the report, “MongoDB continues to expand its translytical market share by delivering new capabilities that enhance automation, intelligent memory tiering, and multimodel support, including vector, streaming, analytics, and integrated transactions.” “Developers have been telling us for years that they need easy ways to work with all their data in one place,” said Jim Scharf, Chief Technology Officer at MongoDB. “That’s what continues to drive our strategy of making MongoDB Atlas the developer data platform. We’re excited to be recognized as a Leader in the new The Forrester Wave™: Translytical Data Platforms, and we will continue to support our customers’ growing needs for their data.” What are MongoDB customers doing with translytical capabilities? The Forrester report notes that organizations “use MongoDB to support real-time analytics, customer intelligence, the Internet of Things (IoT), and AI applications.” So, let’s look at a few examples in action. Companies like Ignition started using MongoDB just for operational data—but, over time, expanded into using Atlas Vector Search for AI use cases. Meanwhile, Bosch Digital makes their IoT data easier to work with by bringing multiple data sources together in a single platform. And, Keller Williams uses MongoDB Charts to bring their analytics to where their transactional data is, making it faster to gather insights for their product teams. Overall, customers are attracted to MongoDB because of how developer-friendly the platform is, and because it simplifies their lives by bringing their data together. Access your complimentary copy of The Forrester Wave™: Translytical Data Platforms, Q4 2024 here . Interested in starting your own translytical journey? Sign up for a free MongoDB Atlas account today! 1 Multimodel is defined as support for storing and using various data types.

November 12, 2024