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

Lars Herrmann
November 7, 2023
#Partners

At MongoDB, our partners have always been an integral part of our growth and success, so it is especially important to harness the power of our global partner ecosystem to connect customers to innovative technology and services. Working alongside our partners, MongoDB Atlas, the leading multi-cloud developer data platform, is accelerating and simplifying building with data. Together, we enable developers to quickly build with the capabilities, performance, and scale generative AI applications required to drive business value.

As our partner ecosystem continues to grow, it is important that customers can easily find the perfect MongoDB partner based on competencies like use cases, industry expertise, products, and platform services. We want to enable customers to find vetted and exemplary solutions that work with MongoDB. To make this partner discovery a reality, we’re thrilled to introduce the MongoDB Partner Ecosystem Catalog, a new way to explore the many MongoDB partners and find the best-combined solution.

"MongoDB is passionate about partners and customers and our partner ecosystem is designed based on customer needs and feedback. Launching the MongoDB Partner Ecosystem Catalog is another step in that journey. This new catalog will make it easier to connect customers with the right partner at the right time to ensure they have the technology and support they need to be successful. This is especially important as more organizations look to capitalize on the power of generative AI both in how they build applications and how their customers interact with applications."

-Alan Chhabra, Executive Vice President, Worldwide Partners and Asia

This new catalog enables customers to discover everything the MongoDB partner ecosystem has to offer in one place. With over 1,000 partners and counting across the globe, we’ve identified, vetted, and highlighted those that we believe to be most impactful and capable of driving the best experiences for customers.

Today at MongoDB.local Paris, MongoDB also announced the launch of MongoDB Atlas for Retail, part of the Atlas for Industries program, to accelerate innovation in the retail industry through tailored partnerships, expert-led innovation workshops, and an industry-specific incubator that builds customized training paths for customers.

Customers are now able to explore a variety of different partners, from cloud providers to system integrators, technology partners, and those partnering with MongoDB to build AI solutions. Using this discovery tool, customers are now able to explore and filter the MongoDB partner ecosystem based on:

  • The use case or problem they are trying to solve

  • Industry-specific focus

  • In-depth details about what a partner offers and how they work with MongoDB

  • Documentation and instruction on how to get started

Building this feature for the MongoDB partner ecosystem is one of the initial steps to enhance discoverability, highlight relevant product integrations, get developers started quickly, and continue to grow our partner network. Participating partners can join and contribute to an engaged and thriving ecosystem. Hear from some of the companies included in our MongoDB Partner Ecosystem Catalog launch:

Erik Bovee, Head of Business Development at MindsDB

"We are thrilled to be a launch partner for MongoDB's new partner ecosystem catalog. Our MindsDB integration allows any MongoDB developer to easily build enterprise-grade AI solutions with real-time data by plugging any AI model directly into their MongoDB collections. MindsDB can be used to take advantage of vector features, create embeddings, call LLMs from within collections, and offers automation and orchestration for AI workflows over dynamic data. Together, we'll continue to help developers streamline building powerful, AI-enriched applications."

Asvin Ramesh, Sr. Director, Partner Alliances at HashiCorp

"HashiCorp and MongoDB have both been working to improve developer efficiency and innovation with integrated capabilities that evolve with an organization's environment. As part of the new MongoDB Partner Ecosystem Catalog, customers will have an easier path to identifying which integrations will work for them and get started quicker with direct access to documentation.”

Eyal Sacharov, SVP, Research & Chief Architect, CTO at BigID

"We provide our customers with a single platform for data visibility and control for security, compliance, privacy, and governance. We're able to help customers get more value from their data and reduce their data risk - accurately, at scale, and fit for their environment. We are proud to be part of the new Partner Ecosystem Catalog and look forward to helping more joint customers discover, manage, and protect their data."

Aaqib Gadit, Chief Revenue Officer at DigitalOcean

“DigitalOcean and MongoDB have a shared vision of making cloud acceleration for startups and SMBs simpler so they can focus on innovating and building,” said Aaqib Gadit, Chief Revenue Officer. “MongoDB's new Partner Ecosystem Catalog will make this even easier as startups and businesses alike will be able to quickly find the ideal partner for each project they are working on. We are excited to be part of this launch and committed to working with even more joint customers.”

Keshav Varma, ISU Head, Technology, Software and Services Business Group, at Tata Consultancy Services (TCS)

"It is a priority for us to help organizations transform their legacy data infrastructure in a fast, secure way, and MongoDB is one of our key technology partners in making this happen. TCS's deep domain knowledge across industries, sustained investments in research & innovation, and collaboration with MongoDB shall accelerate customer's growth and transformation journeys.”

Eric Allen, Partner Leader at gravity9

“We are in the business of helping our clients accelerate their digital journey and providing them with the best digital products, and MongoDB is integral to this. Being part of MongoDB’s new Partner Ecosystem Catalog makes it easier for us to connect with the customers we can help the most to realize their vision.”


The MongoDB Partner Ecosystem Catalog is one of many improvements we are working on to connect customers to the solutions, and partners, they need to unlock value. Soon, customers will be able to navigate the MongoDB Partner Ecosystem by region of service and with additional filtration, as well as review testimonials. We look forward to continuing to work with our partners to help customers build and scale their applications on MongoDB. Visit our website to learn more about the MongoDB Partner Program and apply to be part of our ecosystem.

← Previous

MongoDB Atlas for Industries: Driving Retail Innovation from Supply Chain to Checkout

As retailers around the globe adopt a golden opportunity to modernize customer experiences with AI, personalization, and edge-based inventory management, MongoDB is launching a new initiative to boost the retail industry’s pace of innovation with data-driven applications. Today at MongoDB.local Paris , we announced the launch of MongoDB Atlas for Retail , a new innovation accelerator that provides expert-led innovation workshops, tailored technology partnerships, and an industry-specific knowledge incubator that builds customized training paths for customers. MongoDB Atlas for Retail spans advanced retail-industry use cases, including personalized e-commerce, omnichannel inventory management, workforce and in-store devices, AI-optimized supply chain, and sustainable data operations for future growth. In the modern and hyper-competitive global retail industry, enterprises are challenged with surging consumer demand, with global e-commerce sales expected to grow 56% by 2026. To keep up with modern industry standards, retailers are moving their data to the cloud and unifying siloed architectures by adopting MongoDB Atlas. “In today’s retail industry landscape, consumers expect smart search solutions, personalization, and real-time inventory management that creates seamless shopping experiences across mobile, web, and brick-and-mortar stores,” said Boris Bialek, Field CTO of Industry Solutions at MongoDB. “With MongoDB, enterprises are improving shopping experiences and preparing for the surge of growth ahead with pioneering e-commerce solutions while slashing costs with real-time analytics in the supply chain. MongoDB Atlas for Retail enables retailers to use their data for e-commerce growth while delighting customers with application-driven insights through a unified, fully managed, and cost-effective platform.” Global growth: From holiday surges to growing e-commerce consumer demand MongoDB is partnering with retailers globally to drive sustainable growth, profitability, and technology innovation. In one example, by moving its order management system from on-premises to a fully managed, cloud-based data platform, Radial boosted its ability to process $150 million in sales in a single day. Radial works with the world’s biggest brands and has grown its reputation as a trusted fulfillment provider for nearly 35 years, and also won a 2023 MongoDB Innovation Award . After selecting the MongoDB Atlas developer data platform, Radial improved performance, reduced latency, and developed real-time solutions for customers. “As a retail platform, we look for every opportunity to expand into the cloud. It offers the scalability we need to accommodate those seasonal peaks without creating complexity or escalating costs,” explains Eric Lutts, Senior Director of Database Engineering at Radial. “The support we get from MongoDB is second to none; amazing customer service is its DNA. I have experience with a lot of other database vendors, and what sets MongoDB apart is that they don’t just help, they educate so we can get the most from the platform in the future.” In partnership with public cloud providers like Google Cloud and the MACH Alliance pioneers at commercetools, MongoDB is also working behind the scenes with the largest beauty retailer in the U.S., Ulta Beauty , to seamlessly manage seasonal demand surges during holiday shopping. “We recently had an unplanned traffic surge that impacted our domain services. It took less than an hour for MongoDB Atlas to scale up to the next level of the cluster and manage that traffic,” says Sethu Madhav Vure, IT Architect, Ulta Beauty. “The on-demand, dynamic scaling, plus GKE, has saved the day more than once.” The keys to MongoDB retail solutions are speed and scalability. Take the German food delivery service Delivery Hero for example. With up to 12,000 requests per second, MongoDB Atlas enables a seamless web and mobile ordering experience for 2.2 billion multinational customers across 70 countries. Services like Delivery Hero need to be able to help customers quickly and easily find the foods they are craving. To handle random access requests at scale, the team considered using Elasticsearch, which would have added another database system for the group to maintain. But with MongoDB Atlas Search , Delivery Hero implemented the new features it needed in less than two weeks, versus three months with an outside vendor. “MongoDB Atlas Search was a game changer. We ran a proof of concept and discovered how easy it is to use. We can index in one click, and because it’s a feature of MongoDB, we know data is always up-to-date and accurate,” said Andrii Hrachov, principal software engineer at Delivery Hero. Build together: How MongoDB leverages tech partnerships to accelerate retail innovation From supply chain to checkout, MongoDB builds modern retail customer experiences with a strong support system. Today, it’s easier than ever for retailers and tech-forward e-commerce firms to find the right fit for online and mobile shopping platforms. Whether MongoDB customers are looking for a system integrator, a public cloud offering, or a built-in e-commerce platform, MongoDB has a vast network of partners at the ready. We're excited to announce that the MongoDB Partner Ecosystem Catalog has just launched alongside MongoDB Atlas for Retail. With this new tool, customers can easily discover what the MongoDB Partner Ecosystem has to offer. MongoDB works with more than 1,000 partners around the globe. Customers are now able to explore these partners and those who are part of the new AI innovators program. Using this discovery tool, customers can explore and filter the MongoDB Partner Ecosystem based on use case and industry, and discover how competitors and existing MongoDB customers are working together with the ecosystem. Start your journey with MongoDB Atlas for Retail MongoDB Atlas for Retail includes solutions and capabilities that can help organizations reimagine how they interact with end users by deploying data-driven applications with the flexibility, security, and resilience the retail industry requires: Run data-driven applications anywhere: MongoDB Atlas for the Edge enables organizations to deploy applications closer to where data is generated, processed, and stored, across mobile and IoT devices, on-premises servers, and multiple major cloud providers. For example, retail organizations can seamlessly deploy applications across mobile devices and on-premises services for interacting with customers when internet connectivity is unavailable while also ensuring data is synchronized with the cloud once connectivity is available. MongoDB Atlas for the Edge enables organizations to build, deploy, and manage applications that are accessible virtually anywhere without the complexity typically associated with operating distributed applications at the edge. Reimagine possibilities with innovation workshops: MongoDB Atlas for Retail includes dedicated executive engagement with industry experts from MongoDB and the MongoDB Partner Ecosystem to ideate client-specific solutions using best practices developed through proven industry experience. Retail innovation workshops are tailored to address the unique challenges and opportunities that organizations face so they can modernize their operations with security and compliance in mind. Jumpstart application development: With MongoDB Atlas for Retail, organizations can engage with the MongoDB Professional Services team to take advantage of retail expertise and accelerate projects from concept to prototype and to production in less time. Experts from the MongoDB Professional Services team can work backward from an organization’s specific challenges to conduct architectural reviews and help quickly prototype proofs of concept for ideation before moving new applications to production. Upskill teams to quickly build modern applications: MongoDB Atlas for Retail provides tailored MongoDB University courses and learning materials, including unlimited access to curated webinars and solutions sessions, to help developers learn how to quickly build modern applications for retail. Organizations can benefit from training new and experienced developers from the ground up on how to build modern, data-driven applications to modernize operations and reimagine end-user experiences. Power retail innovation and digital transformation across your organization by signing up to learn more about MongoDB Atlas for Retail, or visit us at booth E96 at Tech for Retail in Paris, November 28-29, 2023, or booth 1045 at NRF, Retail’s Big Show , in New York, January 13-16, 2024.

November 7, 2023
Next →

Building AI With MongoDB: Integrating Vector Search And Cohere to Build Frontier Enterprise Apps

Cohere is the leading enterprise AI platform, building large language models (LLMs) which help businesses unlock the potential of their data. Operating at the frontier of AI, Cohere’s models provide a more intuitive way for users to retrieve, summarize, and generate complex information. Cohere offers both text generation and embedding models to its customers. Enterprises running mission-critical AI workloads select Cohere because its models offer the best performance-cost tradeoff and can be deployed in production at scale. Cohere’s platform is cloud-agnostic. Their models are accessible through their own API as well as popular cloud managed services, and can be deployed on a virtual private cloud (VPC) or even on-prem to meet companies where their data is, offering the highest levels of flexibility and control. Cohere’s leading Embed 3 and Rerank 3 models can be used with MongoDB Atlas Vector Search to convert MongoDB data to vectors and build a state-of-the-art semantic search system. Search results also can be passed to Cohere’s Command R family of models for retrieval augmented generation (RAG) with citations. Check out our AI resource page to learn more about building AI-powered apps with MongoDB. A new approach to vector embeddings It is in the realm of embedding where Cohere has made a host of recent advances. Described as “AI for language understanding,” Embed is Cohere’s leading text representation language model. Cohere offers both English and multilingual embedding models, and gives users the ability to specify the type of data they are computing an embedding for (e.g., search document, search query). The result is embeddings that improve the accuracy of search results for traditional enterprise search or retrieval-augmented generation. One challenge developers faced using Embed was that documents had to be passed one by one to the model endpoint, limiting throughput when dealing with larger data sets. To address that challenge and improve developer experience, Cohere has recently announced its new Embed Jobs endpoint . Now entire data sets can be passed in one operation to the model, and embedded outputs can be more easily ingested back into your storage systems. Additionally, with only a few lines of code, Rerank 3 can be added at the final stage of search systems to improve accuracy. It also works across 100+ languages and offers uniquely high accuracy on complex data such as JSON, code, and tabular structure. This is particularly useful for developers who rely on legacy dense retrieval systems. Demonstrating how developers can exploit this new endpoint, we have published the How to use Cohere embeddings and rerank modules with MongoDB Atlas tutorial . Readers will learn how to store, index, and search the embeddings from Cohere. They will also learn how to use the Cohere Rerank model to provide a powerful semantic boost to the quality of keyword and vector search results. Figure 1: Illustrating the embedding generation and search workflow shown in the tutorial Why MongoDB Atlas and Cohere? MongoDB Atlas provides a proven OLTP database handling high read and write throughput backed by transactional guarantees. Pairing these capabilities with Cohere’s batch embeddings is massively valuable to developers building sophisticated gen AI apps. Developers can be confident that Atlas Vector Search will handle high scale vector ingestion, making embeddings immediately available for accurate and reliable semantic search and RAG. Increasing the speed of experimentation, developers and data scientists can configure separate vector search indexes side by side to compare the performance of different parameters used in the creation of vector embeddings. In addition to batch embeddings, Atlas Triggers can also be used to embed new or updated source content in real time, as illustrated in the Cohere workflow shown in Figure 2. Figure 2: MongoDB Atlas Vector Search supports Cohere’s batch and real time workflows. (Image courtesy of Cohere) Supporting both batch and real-time embeddings from Cohere makes MongoDB Atlas well suited to highly dynamic gen AI-powered apps that need to be grounded in live, operational data. Developers can use MongoDB’s expressive query API to pre-filter query predicates against metadata, making it much faster to access and retrieve the more relevant vector embeddings. The unification and synchronization of source application data, metadata, and vector embeddings in a single platform, accessed by a single API, makes building gen AI apps faster, with lower cost and complexity. Those apps can be layered on top of the secure, resilient, and mature MongoDB Atlas developer data platform that is used today by over 45,000 customers spanning startups to enterprises and governments handling mission-critical workloads. What's next? To start your journey into gen AI and Atlas Vector Search, review our 10-minute Learning Byte . In the video, you’ll learn about use cases, benefits, and how to get started using Atlas Vector Search.

April 25, 2024