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July 16, 2024
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MongoDB AI Course in Partnership with Andrew Ng and DeepLearning.AI
MongoDB is committed to empowering developers and meeting them where they are. With a thriving community of 7 million developers across 117 regions, MongoDB has become a cornerstone in the world of database technology. Building on this foundation, we're excited to announce our collaboration with AI pioneer Andrew Ng and DeepLearning.AI, a leading educational technology company specializing in AI and machine learning. Together, we've created an informative course that bridges the gap between database technology and modern AI applications, further enhancing our mission to support developers in their journey to build innovative solutions. Introducing "Prompt Compression and Query Optimization" MongoDB’s latest course on DeepLearning.AI, Prompt Compression and Query Optimization , covers the prominent form factor of modern AI applications today: Retrieval Augmented Generation (RAG) . This course showcases how MongoDB Atlas Vector Search capabilities enable developers to build sophisticated AI applications, leveraging MongoDB as an operational and vector database. To ensure that learners taking this course are not just introduced to vector search, the course presents an approach to reducing the operational cost of running AI applications in production by a technique known as prompt compression. “RAG, or retrieval augmented generation, has moved from being an interesting new idea a few months ago to becoming a mainstream large-scale application.” — Andrew Ng, DeepLearning.AI Key course highlights RAG Applications: Learn to build and optimize the most prominent form of AI applications using MongoDB Atlas and the MongoDB Query Language(MQL). MongoDB Atlas Vector Search: Leverage the power of vector search for efficient information retrieval. MongoDB Document Model: Explore MongoDB's flexible, JSON-like document model, which represents complex data structures and is ideal for storing and querying diverse AI-related data. Prompt Compression: Use techniques to reduce the operational costs of AI applications in production environments. In this course, you'll learn techniques to enhance your RAG applications' efficiency, search relevance, and cost-effectiveness. As AI applications become more sophisticated, efficient data retrieval and processing becomes crucial. This course bridges the gap between traditional database operations and modern vector search capabilities, enabling you to confidently build robust, scalable AI applications that can handle real-world challenges. MongoDB's document model: The perfect fit for AI A key aspect of this course is that it introduces learners to MongoDB's document model and its numerous benefits for AI applications: Python-Compatible Structure: MongoDB's BSON format aligns seamlessly with Python dictionaries, enabling effortless data representation and manipulation. Schema Flexibility: Adapt to varied data structures without predefined schemas, matching the dynamic nature of AI applications. Nested Data Structures: Easily represent complex, hierarchical data often found in AI models and datasets. Efficient Data Ingestion: Directly ingest data without complex transformations, speeding up the data preparation process. Leveraging the combined insights from MongoDB and DeepLearning.AI, this course offers a perfect blend of practical database knowledge and advanced AI concepts. Who should enroll? This course is ideal for developers who: Are familiar with vector search concepts Building RAG applications and Agentic Systems Have a basic understanding of Python and MongoDB and are curious about AI Want to optimize their RAG applications for better performance and cost-efficiency This course offers an opportunity to grasp techniques in AI application development. You'll gain the skills to build more efficient, powerful, cost-effective RAG applications, from advanced query optimization to innovative prompt compression. With hands-on code, detailed walkthroughs, and real-world applications, you'll be equipped to tackle complex AI challenges using MongoDB's robust features. Take advantage of this chance to stay ahead in the rapidly evolving field of AI. Whether you're a seasoned developer or just starting your AI journey, this course will provide invaluable insights and practical skills to enhance your capabilities. Improve your AI application development skills with MongoDB's practical course. Learn to build efficient RAG applications using vector search and prompt compression. Enroll now and enhance your developer toolkit.
MongoDB Atlas Once Again Voted Most Loved Vector Database
The 2024 Retool State of AI report has just been released, and for the second year in a row, MongoDB Atlas was named the most loved vector database. Atlas Vector Search received the highest net promoter score (NPS), a measure of how likely a user is to recommend a solution to their peers. This post is also available in: Deutsch , Français , Español , Português , Italiano , 한국어 , 简体中文 . The Retool State of AI report is a global annual survey of developers, tech leaders, and IT decision-makers that provides insights into the current and future state of AI, including vector databases, retrieval-augmented generation (RAG) , AI adoption, and challenges innovating with AI. MongoDB Atlas commanded the highest NPS in Retool’s inaugural 2023 report, and it was the second most widely used vector database within just five months of its release. This year, MongoDB came in a virtual tie for the most popular vector database, with 21.1% of the vote, just a hair behind pgvector (PostgreSQL), which received 21.3%. The survey also points to the increasing adoption of RAG as the preferred approach for generating more accurate answers with up-to-date and relevant context that large language models ( LLMs ) aren't trained on. Although LLMs are trained on huge corpuses of data, not all of that data is up to date, nor does it reflect proprietary data. And in those areas where blindspots exist, LLMs are notorious for confidently providing inaccurate "hallucinations." Fine-tuning is one way to customize the data that LLMs are trained on, and 29.3% of Retool survey respondents leverage this approach. But among enterprises with more than 5,000 employees, one-third now leverage RAG for accessing time-sensitive data (such as stock market prices) and internal business intelligence, like customer and transaction histories. This is where MongoDB Atlas Vector Search truly shines. Customers can easily utilize their stored data in MongoDB to augment and dramatically improve the performance of their generative AI applications, during both the training and evaluation phases. In the course of one year, vector database utilization among Retool survey respondents rose dramatically, from 20% in 2023 to an eye-popping 63.6% in 2024. Respondents reported that their primary evaluation criteria for choosing a vector database were performance benchmarks (40%), community feedback (39.3%), and proof-of-concept experiments (38%). One of the pain points the report clearly highlights is difficulty with the AI tech stack . More than 50% indicated they were either somewhat satisfied, not very satisfied, or not at all satisfied with their AI stack. Respondents also reported difficulty getting internal buy-in, which is often complicated by procurement efforts when a new solution needs to be onboarded. One way to reduce much of this friction is through an integrated suite of solutions that streamlines the tech stack and eliminates the need to onboard multiple unknown vendors. Vector search is a native feature of MongoDB's developer data platform, Atlas, so there's no need to bolt on a standalone solution. If you're already using MongoDB Atlas , creating AI-powered experiences involves little more than adding vector data into your existing data collections in Atlas. If you're a developer and want to start using Atlas Vector Search to start building generative AI-powered apps, we have several helpful resources: Learn how to build an AI research assistant agent that uses MongoDB as the memory provider, Fireworks AI for function calling, and LangChain for integrating and managing conversational components. Get an introduction to LangChain and MongoDB Vector Search and learn to create your own chatbot that can read lengthy documents and provide insightful answers to complex queries. Watch Sachin Smotra of Dataworkz as he delves into the intricacies of scaling RAG (retrieval-augmented generation) applications. Read our tutorial that shows you how to combine Google Gemini's advanced natural language processing with MongoDB, facilitated by Vertex AI Extensions to enhance the accessibility and usability of your database. Browse our Resources Hub for articles, analyst reports, case studies, white papers, and more. Want to find out more about recent AI trends and adoption? Read the full 2024 Retool State of AI report . Head over to our quick-start guide to get started with Atlas Vector Search today.
AWS Names MongoDB ASEAN Global Software Partner of the Year
I’m thrilled to announce that during the recent AWS Partner Summit in Bangkok , MongoDB was recognized as the ASEAN Global Software Partner of the Year — for the second year in a row. This award highlights MongoDB's focus on driving innovation with AWS, and is a testament to the success of customers in the region building transformative, next-generation applications with MongoDB and AWS. Based on merit, the AWS ASEAN Partner Awards were determined through a data-driven decision-making process, and “celebrated stellar achievements from partners that have shown remarkable success and achievement with AWS.” “We are proud to announce and acknowledge the ASEAN AWS Partners of 2024 that are helping customers accelerate innovation, develop industry-focused solutions, and build resilience amid the current evolving economic climate,” said Kirsten Gilbertson, Partner Organization Leader, AWS ASEAN. “AWS Partners are the force multiplier to accelerate cloud transformation in the region and drive local economic growth. With our partners, AWS remains committed to helping customers address industry needs and drive positive business and societal outcomes by leveraging our secure global infrastructure for the latest generative—AI, analytics, and machine learning technologies.” Demystifying AI and building next-gen apps with partners To help organizations of all sizes make the most of AI, earlier this month, we announced the MongoDB AI Applications Program (MAAP). The new program is designed to help organizations rapidly build and deploy modern applications with generative AI technology at enterprise scale. MAAP—which will be available starting in July—is being launched with industry-leading consultancies, cloud infrastructure, and generative AI framework providers, including AWS. Together, MongoDB and its MAAP partners will help customers solve business problems with AI by providing them with strategic advisory, professional services, and an integrated end-to-end technology stack. In short, MongoDB and partners like AWS, Anthropic, and Cohere will help customers use generative AI to enhance productivity, revolutionize customer interactions, and drive industry advancements. So it’s a real honor to receive the AWS ASEAN Global Software Partner of the Year two years running. This award validates the strength of our strategic collaboration with AWS, and the growing number of customers across industries who deploy mission-critical workloads on MongoDB Atlas running on AWS. We look forward to building on this momentum with AWS to help our customers unlock new possibilities by leveraging the power of data! To learn more about the MongoDB AI Applications Program, visit the MAAP page . And, check out MongoDB’s Partner Ecosystem to learn more about the wide range of integrations and solutions to help you build and run modern applications.
Stay Compliant with MongoDB’s Latest Certifications: ISO 9001, TISAX, HDS, and TX-RAMP
Ensuring compliance with regulations and security standards across industries and regions is a crucial aspect of MongoDB’s commitment to protecting customer data. That’s why we’re excited to announce that MongoDB Atlas has achieved certifications for ISO 9001, TISAX, HDS, and TX-RAMP, further solidifying our dedication to data security and regulatory compliance for both enterprise and public sector organizations. MongoDB Atlas achieved these certifications across AWS, Azure, and Google Cloud supported regions, thus providing customers the flexibility to adopt a multi-cloud model to support their workloads. In order to achieve each of these four new certifications, MongoDB Atlas underwent independent verification of its quality management, platform security, privacy, documentation, and organizational controls. These certifications—and the independent verifications required to achieve them—help ensure that Atlas meets organizations’ compliance, regulatory, and policy objectives, including the unique compliance needs of highly regulated industries. Read on to learn more about MongoDB’s new ISO 9001, TISAX, HDS, and TX-RAMP certifications, and how they can benefit organizations of all sizes. ISO 9001 Developed by the International Organization for Standardization (ISO), ISO 9001:2015 is an international standard for quality management systems (QMS) that is widely recognized across industries and organizations of all sizes. It provides a framework and guiding principles to systematically deliver products and services at consistently high quality to customers while ensuring compliance with regulations. MongoDB Atlas’s ISO 9001:2015 certification provides assurance to customers that we have implemented a robust QMS and are committed to consistently meeting their requirements and complying with all applicable regulations. It also emphasizes the importance of process control and continual improvement at MongoDB, which leads to greater consistency in product or service quality over time. Visit the Trust Center to learn more about MongoDB's ISO 9001 certification . TISAX The Trusted Information Security Assessment Exchange, or TISAX, is a certification program for information security in the automotive industry. Based on information security requirements created by the German Association of the Automotive Industry (VDA), TISAX helps European automotive companies streamline security evaluations by providing an industry-specific security framework for assessing information security for the wide landscape of suppliers, OEMs, and partners that contribute to the automotive supply chain. There are three assessment levels of TISAX certification. MongoDB has demonstrated compliance with the assessment level 3 (AL3) TISAX certification, which is the highest assessment level available and signifies a supplier's ability to handle and protect highly sensitive data, while also maintaining high availability. MongoDB Atlas's TISAX certification assists automotive industry customers in meeting their rigorous compliance needs. Additionally, it assures these customers that their data will be safeguarded to the highest standards within MongoDB Atlas, with robust measures in place for business continuity, disaster recovery, and risk mitigation. Visit the Trust Center to learn more about MongoDB’s TISAX certification . HDS France's HDS regulations and certification, known as Hébergeur de Données de Santé (Health Data Hosting), ensure organizations comply with basic requirements for hosting personal health data. According to the French Public Health Code, any organization hosting health data from healthcare activities in France must obtain HDS certification. By securing HDS certification, MongoDB Atlas helps those customers hosting health data in France to comply with HDS regulations and instills confidence that robust security controls and practices are in place to protect this highly sensitive data. Visit the Trust Center to learn more about MongoDB’s HDS certification . TX-RAMP The Texas Risk and Authorization Management Program, or TX-RAMP, is a certification program established in Texas that ensures the security of cloud computing services used by state governmental agencies. In order to demonstrate compliance with the security criteria required for TX-RAMP certification, MongoDB Atlas was assessed by the Texas Department of Information Resources (DIR). MongoDB Atlas for Government is already TX-RAMP certified by virtue of it being FedRAMP Moderate authorized. By securing TX-RAMP certification, MongoDB Atlas simplifies procurement for public sector customers in Texas seeking to adopt MongoDB Atlas on AWS, Azure, or Google Cloud. Visit the Trust Center to learn more about MongoDB’s TX-RAMP certification . MongoDB is dedicated to securing your data. We do so through state-of-the-art technical and organizational security controls, numerous regulatory and compliance resources, and a constantly growing collection of third-party attestations and certifications. Our new ISO 9001, TISAX, HDS, and TX-RAMP certifications help us ensure compliance with regulations and security standards across diverse industries and regions, both for enterprise and public sector organizations. To learn more about MongoDB’s technical and organizational security measures, visit the Technical and Organizational Security Measures page .
Empowering Aspiring Developers in Africa: The MongoDB, MyTechDev Partnership
It's been nearly a year since the announcement of the partnership between MongoDB University and MyTechDev (Dev-Net), marking a significant milestone in empowering African developers with practical coding skills and enterprise technology pathways. This partnership aims to certify 500 people in Nigeria, South Africa, Kenya, and Egypt, aligning with the rising demand for skilled software developers globally. “At MongoDB, we love developers and are pleased to provide free, on-demand educational content for new learners and professional developers who want to expand their existing skill sets on the learning platform of their choice,” said Raghu Viswanathan, Vice President, Education, Documentation, and Academia at MongoDB. One of the remarkable outcomes of this collaboration is showcased in a recent video from MyTechDev (Dev-Net), where students share their experiences with MongoDB. Through hands-on learning facilitated by MyTechDev (Dev-Net) and free on-demand courses on MongoDB University , these students not only gained technical expertise but also found a supportive community that encouraged them through challenges, paving the way for future career aspirations and entrepreneurial ventures. The MyTechDev (Dev-Net) students' testimonials reflect the impact of accessible education and industry partnerships in fostering innovation and career opportunities in technology. By equipping individuals with in-demand skills like MongoDB proficiency, this collaboration addresses the skills gap. It fuels the ambitions of aspiring developers across Africa, promising a brighter future for the tech ecosystem on the continent. Investing in education isn't just about boosting opportunities; it's about saving lives. A recent study in The Lancet Public Health says what many have long suspected: education significantly impacts health outcomes. Regardless of age, gender, or socio-economic status, every year of schooling reduces mortality by 2%. This finding is particularly pertinent in sub-Saharan Africa, home to the world's youngest population, 70% under 30, and a GDP lagging far behind. Many of these young people face dire circumstances, with poverty and lack of resources hindering their access to education. The MongoDB for Academia program provides free resources for students and educators to make the most of MongoDB. The program also offers students MongoDB Atlas credits and free certification through the GitHub Student Developer Pack. These benefits are available globally, allowing students to enter the workforce with industry-relevant skills and certifications. To learn more, students and educators can register for the MongoDB for Students or MongoDB for Educators programs.
New Atlas Administrator Learning Path and Certification
Say hello to MongoDB’s newest education addition—the MongoDB Atlas Administrator Path , your guide to successfully prepare for and pass the new Associate Atlas Administrator certification ! This is the second certification and learning path we launched in 2024, a testament to our unwavering dedication to helping developers validate their skills. Certifications offer concrete evidence of expertise, bolstering credibility and marketability to employers. Thousands of developers have reaped the benefits of being MongoDB certified! Unlock your potential: Follow the learning path to success The new MongoDB Atlas Administrator Path will guide you through the foundations of MongoDB Atlas, the multi-cloud developer data platform. You'll learn to quickly get up and running with a free MongoDB Atlas Cluster. Additionally, this path will cover the basic steps for creating, securing, monitoring, and administering a new cluster using both the UI and CLI. Upon completing the learning path, not only will you feel prepared to take the certification exam, but you'll also automatically unlock a 50% discount on the exam. What’s more, the new Associate Atlas Administrator certification is designed to validate a candidate's mastery and competence, demonstrating their proficiency as a MongoDB Atlas Administrator. Once certified, you're equipped to effectively administer MongoDB Atlas, implement security measures, optimize performance, and manage version upgrades with confidence. MongoDB’s certifications hold the official seal of recognition from the worldwide tech community, affirming and validating your MongoDB expertise. These certifications aren't just pieces of paper—they're powerful catalysts for propelling your career to new heights and boosting your appeal to future employers. According to the Microsoft Certification Program Satisfaction Study, 91% of hiring managers report certification as an important criterion for hiring. As a certified pro, you'll have the opportunity to showcase your accomplishments with pride, gaining visibility in the Credly Talent Directory and earning a distinctive Credly badge that sets you apart from the crowd. But you don’t just take our word for it. Samuel Molling, MongoDB certified as an Associate DBA, Associate Developer, and Associate Data Modeler, has benefited firsthand from MongoDB certifications: “As soon as I got my first DBA certification, I received an exciting offer from a company to be a MongoDB specialist with a very attractive salary,” he said. “The company found me through MongoDB's certificates page (Credly Talent Directory). Due to the certifications, I acquired a lot of experience, grew my network, and received offers from both national and international companies. I managed to close contracts with clients for my company, and this gives me more and more visibility.“ Having a technical certification is invaluable in today's competitive job market, showcasing expertise and dedication to professional growth. Our decision to create a tailored learning path for our customers came from the belief in equipping developers with the tools necessary to succeed. As evidenced by Samuel's testimonial, obtaining a certification can be a game-changer, opening up new opportunities and advancing one's professional trajectory. Do you ever feel stuck and unsure of where to start? Look no further! Dive into MongoDB's free online educational resources for hands-on learning, quizzes, and labs. Elevate your skills with our new learning path and certification tailored to boost your Atlas Admin expertise. Get started now!
Building the Next Big Thing Together: Announcing MongoDB’s Partners of the Year
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 .
Welcome to MongoDB.local NYC 2024!
AI promises to upend how enterprises operate and reach customers … if only they could first find the "On" button. Despite the tremendous promise of AI, most companies still find themselves in the experimentation phase, working through proofs of concept, hampered by unfamiliar technologies that don't work well together. But MongoDB is uniquely positioned to help developers turn all this AI noise into "signal" that benefits customers. This post is also available in: Deutsch , Français , Español , Português , Italiano , 한국어 , 简体中文 . This week at MongoDB.local NYC, thousands of developers and executives—representing Fortune 500 companies and cutting-edge startups—have gathered to discuss and demonstrate the real-world successes they've had building on MongoDB's developer data platform. MongoDB is fast becoming the industry’s go-to memory database for retrieval-augmented generation (RAG) and agentic systems, offering a unified data model across the entire AI stack. But this isn’t just a technology story, as important as that is. MongoDB also now offers essential programs and services to make AI much more accessible. In short, MongoDB is taking developers from experimentation to impact, and advancing our long-standing mission of making it easy to work with data. Demystifying AI Businesses are eager to adopt generative AI, but they don’t know where to start. The AI landscape is incredibly complex—and seems to get more so by the minute. This complexity, coupled with limited in-house AI expertise and concerns about the performance and security risks of integrating disparate technologies, is keeping too many organizations on the sidelines. MongoDB can help. To get organizations started, we’re announcing the MongoDB AI Applications Program (MAAP) . With MAAP, we give customers the blueprints and reference architectures to easily understand how to build AI applications. We also take on the heavy lifting of integrating MongoDB's developer data platform with leading AI partners like Anthropic, Cohere, Fireworks AI, Langchain, LlamaIndex, Nomic, Anyscale, Credal.ai, and Together AI, all running on the cloud provider of your choice. MAAP will be available to customers in early access starting in July. In addition to MAAP, we’re also introducing two new professional services engagements to help you build AI-powered apps quickly, safely, and cost-effectively: An AI Strategy service that leverages experts to help customers identify the highest-impact AI opportunities and to create specific plans on how to pursue them. For customers who have already identified use cases to pursue, an AI Accelerator service that brings expert consulting—from solution design through prototyping—to enable customers to execute their AI application roadmap from idea to production. Once developers get to building AI apps, they’ll find that MongoDB allows them to speak the data “language” of AI. Our developer data platform unifies all different data types alongside your real-time operational data—including source data, vector embeddings, metadata, and generated data—and supports a broad range of use cases. Not only do we give developers the most intuitive way to work with their data, we also keep improving where they can do so. Many developers first experience MongoDB in a local environment before moving to a fully managed cloud service like MongoDB Atlas. So, I'm excited to share that we will be introducing full-text search and vector search in MongoDB Community Edition later this year, making it even easier for developers to quickly experiment with new features and streamlining end-to-end software development workflows when building AI applications. These new capabilities also enable support for customers who want to run AI-powered apps on devices or on-premises. As customers begin to mature these applications, cost becomes an important consideration. Last year, we introduced dedicated nodes for Atlas Search on AWS. Using dedicated nodes, customers can isolate their vector search workloads and scale them up or down independently from operational workloads, improving performance and ensuring high availability. By giving customers workload isolation without data isolation, they can manage resources efficiently without additional complexity. Today, we’re announcing Atlas Search nodes on all three cloud providers, which customers can configure programmatically using the Atlas CLI or our Infrastructure-as-Code integrations . Learn more about how MongoDB is the best solution to the challenges posed by the fast-moving generative AI landscape . Real-time and highly performant Though AI rightly claims center stage at MongoDB .local NYC this week, it's not the only way we're helping developers. From real-time fraud detection , to predictive maintenance , to content summarization , customers need to efficiently process large volumes of high-velocity data from multiple sources. Today, we’re also announcing the general availability of Atlas Stream Processing , the public preview of Atlas Edge Server , and improved performance of time series workloads with MongoDB 8.0. Together, these capabilities enable customers to design applications that solve virtually any business challenge. Learn more about how MongoDB powers modern application requirements . These are just a few of the things we're announcing this week. Whether you’re just dipping your toes into the world of generative AI or are well on your way, MongoDB’s developer data platform, strong and diverse network of partners, and proven industry solutions will give you a competitive edge in a fast-moving market. Please take a minute to see what we've built for you, so that you can more easily build for your customers. Enjoy the conference, and we hope to see you soon! To see more announcements and get the latest product updates, visit our What’s New page. And head to the MongoDB.local hub to see where we’re stopping along our 2024 world tour.
MongoDB AI Applications Program Partner Spotlight: Cohere Brings Leading AI Foundation Models to the Enterprise
Today, Cohere, a leading enterprise AI platform, will join MongoDB’s new AI Applications Program (MAAP) as part of its first cohort of partners. The MAAP program is designed to help organizations rapidly build and deploy modern generative AI applications at enterprise scale. Enterprises will be able to utilize MAAP to more easily and quickly leverage Cohere’s industry-leading AI technology, such as its highly performant and scalable Command R series of generative models, into their businesses. Cohere's enterprise AI suite supports end-to-end retrieval augmented generation (RAG, which has become a foundational building block for enterprises adopting large language models (LLMs) and customizing them with their own proprietary data. Cohere’s Command R model series is optimized for business-critical capabilities like advanced RAG with citations to mitigate hallucinations, along with tools used to automate complex business processes. It also offers multilingual coverage in 10 key languages to support global business operations. These models are highly scalable, balancing high efficiency with strong accuracy for customers. Cohere’s best-in-class embed models complement its R Series generative models, offering enhanced enterprise search capabilities in 100+ languages to support powerful RAG applications. Using Cohere’s technology with MAAP will help companies overcome many of the obstacles that they face when implementing generative AI into their everyday operations. Enterprises can now seamlessly integrate Cohere’s state-of-the-art LLMs to move into large-scale production with AI to address real-world business challenges. MAAP provides a strategic framework utilizing MongoDB’s industry expertise, strategic roadmaps, and technology to design AI solutions that can meaningfully improve workforce productivity and deliver new types of application experiences to end users. “Organizations of all sizes across industries are eager to get started with applications enriched with generative AI capabilities but many are unsure how to get started effectively,” said Alan Chhabra, EVP of Worldwide Partners at MongoDB. “The MongoDB AI Applications Program helps address this challenge, and we’re excited to have Cohere as a launch partner for the program. With Cohere’s leading embedding models, support for more than 100 languages, and its Command R foundation models optimized for retrieval augmented generation using an organization’s proprietary data, customers can more easily help improve the accuracy and trustworthiness of outputs from AI-powered applications.” “MongoDB’s unique position in the market allows them to work with companies as they evaluate their current technology stack, and identify the best opportunities to use Cohere’s industry-leading Command and Embed LLMs to drive efficiency at scale,” said Vinod Devan, Cohere’s Global Head of Partnerships. “MAAP is an incredible opportunity for companies to work with a trusted partner as they look to meaningfully ramp up their use of Cohere’s enterprise-grade AI solutions to deliver real business value.” We look forward to building on this partnership to deliver impactful AI solutions for businesses globally. Cohere works with all major cloud providers as well as on-prem for regulated industries and privacy-sensitive use cases, to make their models universally available for customers wherever their data resides. MongoDB and Cohere will work together to be a trusted AI partner for enterprises and build cutting-edge applications with data privacy and security in mind for companies that need highly secure solutions for sensitive proprietary data. Learn more about the MongoDB AI Applications Program on the program website .
MongoDB Announces Support for Punch Cards, Arrakis
MongoDB is excited to announce a groundbreaking expansion of our capabilities. Beginning today, April 1, MongoDB is expanding its support of programming languages like INTERCAL, FORTRAN, and even UNITYPER punch cards, as well as support for ultra-remote regions of the known universe with new subspace, faster-than-light (FTL) data transfer and networking protocols. Bringing vintage programming languages into the modern age Support for legacy programming languages presents a unique opportunity for our developers. INTERCAL, known for its quirkiness and obscurity, challenges developers with its unconventional syntax. Meanwhile, the experience many pioneers in computing gained by encoding data onto UNITYPER punch cards paved the way for the modern computing we know today, and supporting punch card languages underscores MongoDB’s long-standing commitment to honoring the rich heritage of computing history. We are thrilled to resurrect these relics of computing and, by doing so, to highlight the importance of developers in the past, present, and future. Expanding availability of MongoDB to the earth’s crust, the planet Arrakis (Dune), and beyond Following MongoDB’s long-standing tradition of pushing boundaries, we are also excited to announce the expanded availability of MongoDB Atlas to regions that were once thought unreachable. Beginning today, MongoDB Atlas will support even the most remote regions of the known universe. Whether you find yourself trapped in the Earth’s crust, or you’re riding on a Guild heighliner to harvest spice on the planet Arrakis, MongoDB will be there to support your data needs every step of the way. As part of this planned expansion, MongoDB will provide network connections to the center of the Earth using new types of heat-resistant polymers that can withstand the extreme temperatures of Earth’s molten core. Additionally, new subspace data transfer and networking protocols derived from advancements in quantum computing will allow low-latency applications to function across solar systems, galaxies, and parallel dimensions. ...APRIL FOOLS! Alright, alright, that’s enough, we’ll let you in on the joke—we won’t be supporting any vintage coding languages any time soon. While bringing back punch cards and riding sandworms might not be on MongoDB’s roadmap, we remain as committed as ever to supporting our developer community . No matter the future, developers will build it. Happy April Fools’ Day! For more developer updates, head to our Developer Center .
New Data Modeling Learning Path and Certification
This post is also available in: Deutsch , Français , Español , Português , Italiano , 한국어 , 简体中文 . Data modeling is a crucial part of software development. It's what gives structure to the data so that it can be analyzed, used to make decisions, and built into useful applications. It can be complex and challenging, especially when you're juggling performance and maintainability. But here's the good news: a well-designed data model can boost your app's performance. That's why we've put together a new learning path and certification to help you level up your data modeling skills. Whether you're a seasoned developer looking to deepen your understanding or a newcomer eager to learn, this content is designed to give you the tools you need to create efficient and effective data models. Let's dive in and start building better apps together. Deep dive into data modeling with MongoDB The new free, online MongoDB Data Modeling Path will help you build your knowledge from the ground up and prepare you for the certification exam. The curated sequence of videos, hands-on labs, and quizzes provides you with a guided journey to learning data modeling at your own pace. The learning path will show you a step-by-step method for creating effective data models. You'll learn how to identify entities and workloads, map relationships, and when to embed or reference them. In addition, you'll learn different schema design patterns, how to recognize and address MongoDB anti-patterns, and the basics of schema lifecycle management. And, here's a little something extra: Once you complete the learning path, you'll automatically score a 50% discount on the new certification ! Learn fast, certify faster With an extensive array of new educational resources on data modeling for MongoDB, we are thrilled to introduce our new credential, the MongoDB Associate Data Modeler certification , which will allow you to validate and showcase your expertise in the field. Our certifications are officially recognized by professional institutions, validating and acknowledging your MongoDB expertise. They're a valuable asset for advancing in your role and enhancing your marketability for future positions. Certified individuals earn bragging rights, inclusion in the Credly Talent Directory , and a distinguished Credly badge, making it easy to share your achievements. The MongoDB Associate Data Modeler certification is designed for experienced users. Candidates should have some familiarity with JSON, and the MongoDB Query API , including aggregations and data modeling on MongoDB. You should also understand the tradeoffs of simplicity versus performance of data modeling techniques. This certification attests to your competency in designing, building, and evolving effective data models in MongoDB, and incorporating data governance into your work. Explore MongoDB’s new learning path and certification designed to elevate and validate your data modeling skills.
Announcing MongoDB as a Founding Member of the NIST AI Safety Institute Consortium
This post is also available in: Deutsch , Français , Español , Português , Italiano , 한국어 , 简体中文 . The U.S. Department of Commerce’s National Institute of Standards and Technology (NIST) is establishing the U.S. Artificial Intelligence Safety Institute Consortium (AISIC) to support the development and deployment of safe and trustworthy AI. Alongside MongoDB from the technology sector, the Consortium includes Amazon.com, AMD, Anthropic, Apple, Cohere, GitHub, Google, Hugging Face, Inflection AI, Intel, Meta, Microsoft, Nvidia, OpenAI, and Salesforce. In total, the Consortium brings together over 200 AI creators and users, academics, government and industry researchers, and civil society organizations. Together the members are focused on the R&D necessary to enable safe, trustworthy AI systems and underpin future standards and policies. You can see the complete list of current Consortium members on the NIST website . The Consortium will collaborate to develop science-based and empirically backed guidelines and standards for AI measurement and policy, laying the foundation for AI safety across the world. This will help prepare the U.S. to address the capabilities of the next generation of AI models or systems, from frontier models to new applications and approaches, with appropriate risk management strategies. Secretary of U.S. Department of Commerce Gina Raimondo said, “The U.S. government has a significant role to play in setting the standards and developing the tools we need to mitigate the risks and harness the immense potential of artificial intelligence. President Biden directed us to pull every lever to accomplish two key goals: set safety standards and protect our innovation ecosystem. That’s precisely what the U.S. AI Safety Institute Consortium is set up to help us do. Through President Biden’s landmark Executive Order, we will ensure America is at the front of the pack—and by working with this group of leaders from industry, civil society, and academia, together we can confront these challenges to develop the measurements and standards we need to maintain America’s competitive edge and develop AI responsibly.” MongoDB’s contributions to the Consortium Capitalizing on the experience gained working with startups, enterprises, and governments building and deploying AI-powered applications , MongoDB will contribute its expertise and resources across multiple fields including: Multi-cloud, globally distributed databases along with vector search and retrieval technology such as MongoDB Atlas Vector Search that power AI apps at scale. Developer experience engineering gained from building applications that integrate with the ecosystem of AI models and frameworks across all of the most popular programming languages. Data governance and cybersecurity technologies such as its groundbreaking Queryable Encryption protect data and preserve privacy. “We believe that technology driven by software and data makes the world a better place, and we see our customers building modern applications achieving that every day,” said Lena Smart, Chief Information Security Officer at MongoDB . “New technology like generative AI can have an immense benefit to society, but we must ensure AI systems are built and deployed using standards that help ensure they operate safely and without harm across populations. By supporting the U.S. Artificial Intelligence Safety Institute Consortium as a founding member, MongoDB’s goal is to use scientific rigor, our industry expertise, and a human-centered approach to guide organizations on safely testing and deploying trustworthy AI systems without stifling innovation.” In addition to involvement in the AISIC, the MongoDB Atlas for Government program enables U.S. government departments to accelerate their time-to-mission with a database designed for developer productivity and broad workload support. MongoDB Atlas provides government-grade security running in a FedRAMP Moderate Authorized, dedicated environment. NIST’s role in setting technology standards As a part of the U.S. Department of Commerce, NIST plays a pivotal role in developing technology, metrics, and standards aimed at enhancing economic security and improving the quality of life for U.S. citizens. Through its rigorous research and development activities, NIST provides critical guidance and support for industries and science, ensuring the reliability and accuracy of measurements and standards essential for innovation and competitiveness in the global marketplace. Note that NIST does not evaluate commercial products under this Consortium and does not endorse any product or service used. Additional information on this Consortium can be found at: https://www.federalregister.gov/documents/2023/11/02/2023-24216/artificial-intelligence-safety-institute-consortium