Company Events
Events from MongoDB and its Partners
Reflections On Our Recent AI "Think-A-Thon"
October 23, 2024
Events
What’s New From MongoDB at Google Cloud Next 2025
At Google Cloud Next '25, MongoDB is excited to celebrate a deepening collaboration with Google Cloud, focused on delivering cutting-edge solutions that empower developers, enterprises, and startups alike. The event comes as MongoDB Atlas adds availability for Google Cloud regions in Mexico and South Africa, further expanding joint customers’ ability to deploy, scale, and manage their applications closer to their users while meeting local compliance and performance requirements. MongoDB is also honored to have achieved the 2025 Google Cloud Partner of the Year for Data & Analytics - Marketplace. This award is a testament to the enterprise-scale success stories driven by our combined data and analytics solutions. It’s also MongoDB’s sixth consecutive year as a Google Cloud Partner of the Year, reflecting the relentless innovation and customer-first mindset that define MongoDB’s partnership with Google Cloud. This is in addition to achieving the Google Cloud Ready – Regulated and Sovereignty Solutions Badge. The designation is a major milestone for MongoDB, and demonstrates our ability to deliver compliant and secure solutions that meet the highest standards for data sovereignty. More broadly, we’ve been focused on expanding our collaboration in order to unlock new opportunities for customers to enhance developer productivity, launch AI-powered applications, and do more with their data in 2025. Read on to learn more about what we’ve been working on. Enhancing developer productivity with gen AI For over a decade, MongoDB and Google Cloud have established a rich track record of making it easier, faster, and more secure to build enterprise-grade applications. Our latest gen AI collaborations further this mission, simultaneously enhancing innovation and efficiency. MongoDB is proud to be a launch partner for Google Cloud’s Gemini Code Assist. Announced in December and launching for MongoDB users this week at Google Cloud Next, our integration with Gemini Code Assist enables developers to seamlessly access the latest MongoDB documentation and code snippets within their IDEs. This innovative integration enhances developer productivity by providing immediate access to MongoDB resources, making development workflows more efficient by keeping developers 'in the flow' rather than having to hop in and out of the IDEs to find the information and code examples they need. MongoDB is also expanding our presence in Project IDX , an AI-assisted development workspace for full-stack, multiplatform applications. With MongoDB templates now available in IDX, developers can quickly set up MongoDB environments without leaving their IDE, accelerating the development of generative AI applications and other cloud-based solutions. Learn more by reading this blog post from Google. Developers building applications in Firebase can now integrate MongoDB Atlas with a few clicks. The new Firebase extension for MongoDB Atlas eliminates the need for complex query pipelines or manual data transfers, making it easier than ever to deploy and scale apps leveraging MongoDB Atlas as a vector database in Firebase. Additionally, the new MongoDB extension enables real-time synchronization between Firebase and MongoDB data, ensuring data consistency across both platforms. By combining the power of Firebase Extensions, MongoDB Atlas, and a direct MongoDB connector, developers can create innovative and data-driven applications with greater efficiency and ease. Streamlining cloud migrations Developers are taking advantage of the latest models and tooling to build the next wave of gen AI applications. As they do so, they’re wrangling unprecedented volumes of structured and unstructured data, and, in doing so, are facing growing requirements for application scalability and performance. As such, businesses have uncovered a newfound imperative to modernize and take advantage of cloud-native solutions that offer the highest levels of scalability and performance, as well as interoperability with their favorite tools. MongoDB and Google Cloud have made it even easier to make the move to the cloud with Google Migration Center, a unified platform that streamlines the transition from on-premises servers to the Google Cloud environment, offering tools for discovery, assessment, and planning. Within Google Cloud Migration Center, users can now generate cost assessments and migration plans for the on-premises MongoDB instances directly in Google Cloud Migration Console, simplifying the transition to MongoDB Atlas on Google Cloud. Specifically, users can now use integrated MongoDB cluster assessment to gain in-depth visibility into MongoDB deployments, both Community and Enterprise editions, running on your existing infrastructure. Learn more on our blog . With the aim of making it easier and quicker to deploy to the cloud, MongoDB Atlas is now available as part of Cloud Foundation Fabric. Specifically, Atlas is available within Fabric FAST, which streamlines Google Cloud organization setup using a pre-defined enterprise-grade design and a Terraform reference implementation. By integrating MongoDB Atlas, enterprises can enhance production readiness for applications that require persistent data, offloading database management overhead while ensuring high availability, scalability, and security. This integration complements FAST’s infrastructure automation, enabling organizations to quickly deploy robust, data-driven applications within an accelerated Google Cloud environment, reducing the time needed to establish a fully functional, enterprise-level platform. Check out the Github repository . Optimizing analytics and archiving Despite many organizations’ focus on modernization and generative AI, analytics and data warehousing remain essential pillars of the enterprise workflow. Building on our existing integration with BigQuery, Google Cloud’s fully managed data warehouse, MongoDB Atlas now offers native JSON support for BigQuery, eliminating the need for complex data transformations. This enhancement significantly reduces operational costs, improves query performance, and enables businesses to analyze structured and unstructured data with greater flexibility and efficiency. The Dataflow template is now 'Generally Available' for MongoDB and Google Cloud customers. A key advantage of this pipeline lies in its ability to directly leverage BigQuery's powerful JSON functions on the MongoDB data loaded into BigQuery. This eliminates the need for a complex and time-consuming data transformation process as the JSON data within BigQuery can be queried and analyzed using standard BQML queries. Learn more about the new launch from our blog . In a big step forward for MongoDB, Atlas now supports Data Federation and Online Archive directly on Google Cloud. With these new additions, users can effortlessly manage and archive cold data and perform federated queries across Google Cloud storage, all from within their MongoDB Atlas console. This integration provides businesses with cost-effective data management and analysis capabilities. Upskilling for the AI era Earlier this year, MongoDB introduced a new Skill Badges program , offering focused credentials to help learners quickly master and validate their skills with MongoDB. These badges are an excellent way for developers, database administrators, and architects to demonstrate their dedication to skill development and continuous learning. In just 60-90 minutes, participants can learn new skills, finish a short assessment, and earn a shareable digital badge through Credly. They can then display this badge on platforms like LinkedIn to highlight their accomplishments and career development. At Google Next, attendees will have the opportunity to earn the RAG with MongoDB Skill Badge by using our self-paced Google Lab or by interacting directly with our experts in the Makerspace. This badge focuses on building Retrieval-Augmented Generation (RAG) applications, teaching participants how to integrate vector search and improve retrieval workflows to enhance apps powered by LLMs. Whether you prefer the guided support in the Makerspace or the flexibility of the self-paced lab, this hands-on experience will provide you with advanced skills that you can apply to your projects. The bottom line is that we’ve been busy! MongoDB’s deepening collaboration with Google Cloud continues to unlock new innovations across AI, application development, and cloud infrastructure. Stop by Booth #1240 at Google Cloud Next or join one of MongoDB’s featured sessions to explore these advancements and discover how MongoDB and Google Cloud are shaping the future of AI and data-driven applications. Head over to our MongoDB Atlas Learning Hub to boost your MongoDB skills.
MongoDB.local London 2024: Better Applications, Faster
This post is also available in: Deutsch , Français , Español , Português , Italiano , 한국어 , 简体中文 . Since we kicked off MongoDB’s series of 2024 events in April, we’ve connected with thousands of customers, partners, and community members in cities around the world—from Mexico City to Mumbai. Yesterday marked the nineteenth stop of the 2024 MongoDB.local tour, and we had a blast welcoming folks across industries to MongoDB.local London, where we discussed the latest technology trends, celebrated customer innovations, and unveiled product updates that make it easier than ever for developers to build next-gen applications. Over the past year, MongoDB’s more than 50,000 customers have been telling us that their needs are changing. They’re increasingly focused on three areas: Helping developers build faster and more efficiently Empowering teams to create AI-powered applications Moving from legacy systems to modern platforms Across these areas, there’s a common need for a solid foundation: each requires a resilient, scalable, secure, and highly performant database. The updates we shared at MongoDB.local London reflect these priorities. MongoDB is committed to ensuring that our products are built to exceed our customers’ most stringent requirements, and that they provide the strongest possible foundation for building a wide range of applications, now and in the future. Indeed, during yesterday’s event, Sahir Azam, MongoDB’s Chief Product Officer, discussed the foundational role data plays in his keynote address. He also shared the latest advancement from our partner ecosystem, an AI solution powered by MongoDB, Amazon Web Services, and Anthropic that makes it easier for customers to deploy gen AI customer care applications. MongoDB 8.0: The best version of MongoDB ever The biggest news at .local London was the general availability of MongoDB 8.0 , which provides significant performance improvements, reduced scaling costs, and adds additional scalability, resilience, and data security capabilities to the world’s most popular document database. Architectural optimizations in MongoDB 8.0 have significantly reduced memory usage and query times, and MongoDB 8.0 has more efficient batch processing capabilities than previous versions. Specifically, MongoDB 8.0 features 36% better read throughput, 56% faster bulk writes, and 20% faster concurrent writes during data replication. In addition, MongoDB 8.0 can handle higher volumes of time series data and can perform complex aggregations more than 200% faster—with lower resource usage and costs. Last (but hardly least!), Queryable Encryption now supports range queries, ensuring data security while enabling powerful analytics. For more on MongoDB.local London’s product announcements—which are designed to accelerate application development, simplify AI innovation, and speed developer upskilling—please read on! Accelerating application development Improved scaling and elasticity on MongoDB Atlas capabilities New enhancements to MongoDB Atlas’s control plane allow customers to scale clusters faster, respond to resource demands in real-time, and optimize performance—all while reducing operational costs. First, our new granular resource provisioning and scaling features—including independent shard scaling and extended storage and IOPS on Azure—allow customers to optimize resources precisely where needed. Second, Atlas customers will experience faster cluster scaling with up to 50% quicker scaling times by scaling clusters in parallel by node type. Finally, MongoDB Atlas users will enjoy more responsive auto-scaling, with a 5X improvement in responsiveness thanks to enhancements in our scaling algorithms and infrastructure. These enhancements are being rolled out to all Atlas customers, who should start seeing benefits immediately. IntelliJ plugin for MongoDB Announced in private preview, the MongoDB for IntelliJ Plugin is designed to functionally enhance the way developers work with MongoDB in IntelliJ IDEA, one of the most popular IDEs among Java developers. The plugin allows enterprise Java developers to write and test Java queries faster, receive proactive performance insights, and reduce runtime errors right in their IDE. By enhancing the database-to-IDE integration, JetBrains and MongoDB have partnered to deliver a seamless experience for their shared user-base and unlock their potential to build modern applications faster. Sign up for the private preview here . MongoDB Copilot Participant for VS Code (Public Preview) Now in public preview, the new MongoDB Participant for GitHub Copilot integrates domain-specific AI capabilities directly with a chat-like experience in the MongoDB Extension for VS Code . The participant is deeply integrated with the MongoDB extension, allowing for the generation of accurate MongoDB queries (and exporting them to application code), describing collection schemas, and answering questions with up-to-date access to MongoDB documentation without requiring the developer to leave their coding environment. These capabilities significantly reduce the need for context switching between domains, enabling developers to stay in their flow and focus on building innovative applications. Multicluster support for the MongoDB Enterprise Kubernetes Operator Ensure high availability, resilience, and scale for MongoDB deployments running in Kubernetes through added support for deploying MongoDB and Ops Manager across multiple Kubernetes clusters. Users now have the ability to deploy ReplicaSets, Sharded Clusters (in public preview), and Ops Manager across local or geographically distributed Kubernetes clusters for greater deployment resilience, flexibility, and disaster recovery. This approach enables multi-site availability, resilience, and scalability within Kubernetes, capabilities that were previously only available outside of Kubernetes for MongoDB. To learn more, check out the documentation . MongoDB Atlas Search and Vector Search are now generally available via the Atlas CLI and Docker The local development experience for MongoDB Atlas is now generally available. Use the MongoDB Atlas CLI and Docker to build with MongoDB Atlas in your preferred local environment, and easily access features like Atlas Search and Atlas Vector Search throughout the entire software development lifecycle. The Atlas CLI provides a unified and familiar terminal-based interface that allows you to deploy and build with MongoDB Atlas in your preferred development environment, locally or in the cloud. If you build with Docker, you can also now use Docker and Docker Compose to easily integrate Atlas in your local and continuous integration environments with the Atlas CLI . Avoid repetitive work by automating the lifecycle of your development and testing environments and focus on building application features with full-text search, AI and semantic search, and more. Simplifying AI innovation Reduce costs and increase scale in Atlas Vector Search We announced vector quantization capabilities in Atlas Vector Search . By reducing memory (by up to 96%) and making vectors faster to retrieve, vector quantization allows customers to build a wide range of AI and search applications at higher scale and lower cost. Generally available now, support for scalar quantized vector ingestion lets customers seamlessly import and work with quantized vectors from their embedding model providers of choice—directly in Atlas Vector Search. Coming soon, additional vector quantization features, including automatic quantization, will equip customers with a comprehensive toolset for building and optimizing large-scale AI and search applications in Atlas Vector Search. Additional integrations with popular AI frameworks Ship your next AI-powered project faster with MongoDB, no matter your framework or LLM of choice. AI technologies are advancing rapidly, making it important to build and scale performant applications quickly, and to use your preferred stack as your requirements and available technologies evolve. MongoDB’s enhanced suite of integrations with LangChain, LlamaIndex, Microsoft Semantic Kernel, AutoGen, Haystack, Spring AI, the ChatGPT Retrieval Plugin, and more make it easier than ever to build the next generation of applications on MongoDB . Advancing developer upskilling New MongoDB Learning Badges Faster to achieve and more targeted than a certification, MongoDB's free Learning Badges show your commitment to continuous learning and to proving your knowledge about a specific topic. Follow the learning path, gain new skills, and get a digital badge to show off on LinkedIn. Check out the two new gen AI learning badges! Building gen AI Apps : Learn to create innovative gen AI apps with Atlas Vector Search, including retrieval-augmented generation (RAG) apps. Deploying and Evaluating gen AI Apps : Take your apps from creation to full deployment, focusing on optimizing performance and evaluating results. Learn more To learn more about MongoDB’s recent product announcements and updates, check out our What’s New product announcements page and all of our blog posts about product updates . Happy building!
The Learning Experience: Celebrating a Year of MongoDB Developer Days
One year ago today MongoDB held our first regional Developer Day event, a full-day experience designed to teach the fundamentals and advanced capabilities of MongoDB. Developer Day events have been held in person in over 35 cities, across 16 countries, and in seven languages. Initially created by a core team with a passion for enabling developers, a group of talented MongoDB Developer Advocates and Solution Architects have since scaled the program to directly engage and teach thousands of developers worldwide. As developer relations programs go, engaging builders through hands-on workshops is hardly a new approach. But the difference at MongoDB is how closely we collaborate cross-functionally with other teams, and how focused we are on providing authentically hands-on, engaging experiences for developers. From the start, the MongoDB Developer Day program was a collaborative effort to take a platform that is easy to get started with and to introduce more advanced capabilities in a compelling way. Based on the helpful and positive feedback we continue to get from participants, we know Developer Days help developers gain skills and a sense of accomplishment as they alternate between instruction and applying that learning through hands-on exercises. To share more about what has made Developer Days so successful, I asked members of that core team—Lead Developer Advocate Joel Lord , and Sr Developer Advocates Mira Vlaeva and Diego Freniche Brito —to reflect on key areas that went into creating this enduring experience. Our Developer Day class at MongoDB.local NYC in May, 2024 A sense of accomplishment “We all agreed that a Developer Day should focus on hands-on learning, where developers can experiment with MongoDB, potentially make mistakes, and take pride in building something on their own,” Mira said. “The goal was to build a fun learning experience rather than just sitting and listening to lectures all day.” The curriculum was designed to encourage developers to work together at certain points as they advance from data modeling and schema design concepts to implementing powerful Atlas Search and Vector Search capabilities. “One of my favorite moments of the day is when people start working together,” Joel said. “At the beginning of the day, our attendees can be a little hesitant, but they quickly begin to collaborate with each other, and it's wonderful to witness that happen.” Building great Developer Days together While our MongoDB Developer Relations team designed the agenda and course material, it was our partnerships with other teams and stakeholders that helped Developer Days take flight. There were many key stakeholders that shared a vision for enabling developers to realize more value with our platform. As Joel remembers, “We had to work and collaborate with a number of other teams, which was, at the time, new to us.” Among the key teams involved, Diego added, “Working with Field and Strategic Marketing teams has been a great experience. They help us so much with all the really important tasks… there's so much they've done that Developer Days wouldn't be a reality without them.” The program has expanded our collaboration with several other teams, including marketing, product, and sales, to ensure our courses remain up-to-date and we make the most of our time in each city by welcoming developers from key accounts. Continued success and improvements To ensure Developer Days were as impactful as possible, we initially ran the program as a pilot in seven cities. In addition to noting live observations and interactions, we used surveys to collect feedback and report on an NPS (net promoter score) to assess whether the event exceeded participant expectations. These initial events were spaced out enough that the team could implement improvements and try new approaches at subsequent Developer Days. “We had the opportunity to run the same labs multiple times, make small changes each time, and observe how people react to the different configurations,” said Mira, who continues to contribute improvements such as new interactive elements. As we continue to bring the Developer Day experience to new cities, we’re also taking Developer Days online. “There are so many reasons why people may not be able to attend our in-person events,” said Lauren Schaefer , who recently rejoined MongoDB Developer Relations to lead the program forward. “I look forward to working with my team to tackle the challenges of bringing our curriculum successfully online.” So a year later, I want to say thank you to everyone who has made Developer Days a success—from seven staff members who supported our first event in Chicago, to the roughly 100 talented people across MongoDB who are now part of the program. Even more importantly, I’m thankful for all of the participants (across 35 great cities and 16 countries!) that joined us for this full-day experience. As I love to say at the beginning of every Developer Day, we’re here to learn from each other. I hope you’ve learned as much from us as we have from you! To learn more about MongoDB’s global community of millions of developers—and to check out upcoming events like Developer Days—please visit our events page .
What’s New From MongoDB at Microsoft Build 2024
This week, thousands of engineers, database administrators, and developers are gathering in Seattle for Microsoft Build , Microsoft’s annual developer event. In addition to being on site for meetings and learning sessions, MongoDB is excited to showcase our latest innovations for building generative AI apps and more. First, we’re happy to announce that MongoDB now offers dedicated Search Nodes on Microsoft Azure . We offer both compute-optimized nodes for text or application search workloads, and memory-optimized nodes for vector, semantic search, or gen AI workloads. Search Nodes enhance performance and availability through workload isolation while reducing architectural complexity. The availability of Search Nodes on Azure is the latest example of how the partnership between MongoDB and Microsoft helps organizations of all sizes boost developer productivity and build modern applications faster. Keep reading for more on how MongoDB’s capabilities and integrations with Microsoft are helping customers create, innovate, and scale applications. Integrating services and technology to speed AI development The last year of AI innovation set a clear imperative for every organization—to meet customer expectations, they need to modernize their applications. However, many companies aren’t sure where to start with AI, so MongoDB recently announced the launch of the MongoDB AI Application Program (MAAP) alongside industry-leading AI partners. MAAP will provide customers with strategic advisory, professional services, and an integrated end-to-end technology stack from MongoDB and key partners like Microsoft. We’ve also made several technology announcements to enable building gen AI applications, including native support for MongoDB Atlas Vector Search in Microsoft Semantic Kernel , and a dedicated MongoDB Atlas integration for OpenAI’s ChatGPT Plugin . With the new integration, developers can seamlessly and securely enhance the power of large language models from OpenAI, Azure OpenAI, and Hugging Face with proprietary data in Atlas to build powerful retrieval-augmented generation applications using Python or C#. Developing faster with intelligent tools and frameworks In addition to helping developers build powerful gen AI applications through services like Atlas Vector Search, we’ve been working to enhance developer productivity, making it easier than ever to build applications with MongoDB. For example, we’ve introduced intelligent features to first-party tools like MongoDB Compass and Atlas Charts that support natural language. We also recently announced AI-powered SQL query conversions in Relational Migrator to help teams easily move their workloads to MongoDB. MongoDB is expanding the use of AI to enhance its integration with the world’s most popular integrated development environment, Visual Studio Code. We’re excited to announce the MongoDB Participant for the Github CoPilot chat experience, designed to empower developers to generate queries from natural language, understand collection schemas, and instantly access MongoDB documentation. Sign up for the private preview here . MongoDB also supports a variety of programming frameworks to improve productivity and accelerate application development—while ensuring data consistency and quality. Now generally available, the MongoDB Provider for Entity Framework Core (EF Core), encourages C# developers to build their next project on MongoDB. This new offering helps C# developers—39% of whom use EF Core—unlock the full power of MongoDB using the EF Core APIs and design patterns they already know and love. Streamlining comprehensive data analysis For years, MongoDB and Microsoft have facilitated the large-scale analysis of application-generated data to aid business development. Tools like Microsoft Power BI provide a comprehensive view of business intelligence data for developers and analysts with complex data estates using relational databases alongside MongoDB. MongoDB’s Power BI Connector for Atlas —previously supporting Import Mode—now also supports DirectQuery, which we announced a few weeks ago at MongoDB.local NYC . This allows for real-time querying of MongoDB data and is ideal for large datasets. To further enable customers working in the Microsoft ecosystem, we’ve recently made Atlas Data Federation and Atlas Online Archive generally available on Azure . These services enable users to query, transform, and create views across multiple Atlas databases and Azure cloud storage solutions, like Blob Storage and Data Lake Storage Gen2, simplifying data management and archiving within the Azure ecosystem. Building the future together MongoDB's partnership with Microsoft has made developing modern applications faster and easier. We're thrilled to announce these new capabilities at Microsoft Build 2024 , and look forward to helping our joint customers build amazing things together this year. “MongoDB’s relationship with Microsoft has never been better, and with these latest integrations, our momentum continues to grow,” said Alan Chhabra, MongoDB’s EVP of Worldwide Partners. “Already, many of the largest enterprises and most advanced startups in the world run MongoDB Atlas on Microsoft Azure. These latest innovations will empower even more of our customers to take full advantage of their data to build truly transformational generative AI-powered applications.” MongoDB’s partnership with Microsoft sets projects up for success today and tomorrow by delivering robust, integrated solutions that cater to developers' needs. MongoDB and Microsoft are pushing the boundaries for innovation and service for the developer community. To learn more about our recent announcements and for the latest product updates, visit our What’s New page. And head to our campaign page to learn more about how to build smarter and develop faster with MongoDB Atlas on Microsoft Azure.
What’s your Developer Persona?
Cool stuff is getting built with MongoDB every day. Behind the scenes are developers, data scientists, and UX designers who use our products in truly innovative ways. We believe developers are doing way more than just writing code and we’ve outlined a few personas we commonly see. Pick your Archetype for custom backgrounds and other shareable content ! The architect Ideal team member: The Storyteller. Together you’d be unstoppable. Description People are usually intimidated by you at first. You’ll start all quiet and casually drop how you created the very board game everyone is playing at the dinner party you’re at. You have a knack for strategy and probably have a pretty good poker face. Under your calm and collected demeanor is a perpetual motion machine. Scientists said it couldn’t be done but it’s happening inside your brain right now. It’s so effortless you probably don’t even notice it. You’re deeply intuitive and you have a unique combination of both big ideas and informed action. The scientist Ideal team member: The Architect Description You love a healthy debate. Not in the devil’s advocate way but you genuinely like hearing both sides (though you're likely always right). When starting a project, you’re already thinking about things to research so you can hit the ground running. You’re always up to date with the newest technology and constantly thinking about how you can implement it in your workflow. You’re a lifelong learner and you’re super sharp, which makes you an asset to any team. The storyteller Ideal team member: The Scientist Description You’re deeply interested in the human experience. When people enter your house they are wowed by how beautiful and well thought out everything is. You also probably greet them with a seasonally spiced espresso. You have very niche-specific hobbies like crafting modern candlesticks for your friends. People come to you when they want someone to use their product or idea - you know how to craft an experience everyone will keep coming back to! Beauty is in the eye of the beholder, but you’re the beholder and you always know what’s best. The visionary Ideal team member: The Sprinter, they can ground you. Description Leaders are constantly asking you for opinions if you aren’t one yet. You’re interested in the big stuff that will change how people think and interact with the world around them. Your dinner party conversation is strong and you pride yourself on being able to predict the next big thing. Some people may write you off as arrogant until that thing you swore to them would happen, finally did, and they text you saying, “Did you see the news?!?!? You called it!”. You’re uber confident and for good reason. You know exactly how to, as they say, strike while the iron is hot! The sprinter Ideal team member: The Grasshopper Description Your desk is full of half-drunk red-bulls. Or maybe not, but that’s what everyone assumes. You outpace all your colleagues because you simply love getting things done. We imagine you’re into low-effort activities in your spare time like bouldering or Ironman triathlons. You are often the one people call when they want something done right but they are too lazy to do it themselves. You love a good checklist and you're probably the one who does all the work on that new startup venture you and your college friends have. You are deeply passionate about your work and think this meeting could have been an email. The grasshopper Ideal team member: The Architect, you’ll learn a lot! Description No is not in your vocabulary. You’re somewhat of a Renaissance person, people are usually in awe of how you can already be so natural at something you just started. You have a unique blend of independent and collaborative energy that touches everything you set your mind to. You get things done in style. Your unique brand of optimism makes everything you do look effortless. Some people may write you off as a newbie. Don’t worry though, they’re probably just grumpy. The world is truly your oyster, the sky’s the limit, and whatever other saying there is out there you’ve probably thought of 10 already. Meet other developers at .local NYC! We are coming to NYC! Check out our event page to sign up for the conference, including a schedule of events, speaker profiles, and attendee resources, like how to justify your trip and travel details. Register today and meet your ideal collaborator!
Collaboration for Breakfast: MongoDB and Partners Share AI Insights at AWS re:Invent
I’m old enough to remember when every tech conversation didn’t include the term “AI.” Hardly a day goes by without some mention of AI or generative AI (gen AI). But don’t just take my word for it: Google News search results for the phrase, “generative AI” have grown more than 2000% since ChatGPT was launched in November 2022. The AI excitement is more than just hype. For example, we’re seeing widespread adoption of AI across MongoDB’s tens of thousands of customers. Meanwhile, a recent GitHub survey showed 92% of developers have already incorporated gen AI into their work, and Gartner predicts that by 2027, 90% of new applications will incorporate machine learning models or services. MongoDB and our partners tapped into this excitement during AWS re:Invent. On November 29 — the same morning the company announced the integration of MongoDB Atlas Vector Search and Amazon Bedrock (and less than a week before Atlas Vector Search was made generally available ) — MongoDB held an AI-themed breakfast that reinforced the importance of partnerships during this transformative time. During the breakfast, MongoDB product leaders sat down with leaders from four of the company’s partners — Gradient, LangChain, Nomic, and Unstructured—to share insights about building the next generation of AI applications. Despite its 7 a.m. start time, the breakfast was packed with attendees from a range of industries and geographies — no small feat given re:Invent’s busy schedule — and excitement for AI was palpable. Given the broad interest in all things generative AI, organizations of all sizes want to learn how they can build the applications of tomorrow. This is where MongoDB and partners come in: MongoDB provides an integrated developer data platform that accelerates innovation by simplifying the application development process. To streamline AI innovation, MongoDB partners with organizations that offer complementary technology solutions, interoperability, flexibility, and reliability. Partnering to deliver a complete AI toolkit For example, Unstructured works with MongoDB to help organizations connect enterprise data stored in difficult formats like PDF and PNG to AI models. And the combination of MongoDB and LangChain's application framework makes it possible to build solutions that leverage proprietary company data. Meanwhile, with MongoDB Atlas Vector Search and Gradient , organizations can build, customize, and run private AI applications that leverage industry expert large language models (LLMs) to enhance performance. And last but hardly least, Nomic's tools allow users to visualize the unstructured data they store in MongoDB, to make AI more explainable and accessible. All told each partner’s offerings work with MongoDB products to create a comprehensive set of tools with which developers can build AI applications. At the breakfast, company leaders shared their thoughts on the current AI landscape, how their organizations collaborate with MongoDB, and what they see as the future of AI tools. “At AWS re:Invent, we showed how MongoDB is the best platform for building enterprise-ready generative AI apps,” said Andrew Davidson, senior vice president of product management at MongoDB. “Our powerful developer data platform — which works seamlessly with cutting-edge AI ecosystem partners to enable openly composable architecture and design — empowers developers to create compelling AI apps and experiences with greater interoperability, simplification, flexibility, and choice, pushing the boundaries of what's possible.” For example, LangChain Founding Software Engineer Jacob Lee noted that “it’s so, so early for generative AI. Most attendees at re:Invent had only just begun to consider principles and use cases for the technology. There is so much opportunity and potential impact yet to emerge that it will truly take the entire ecosystem's talents and creativity to explore it all.” “In short, the most important thing is to support each other and just keep building cool things,” said Lee. Brian Raymond, founder and CEO of Unstructured, agreed that it's very early for generative AI. "We should start seeing incremental, yet exciting, gains in the performance of multimodal foundation models as well as increased focus on smaller models that are cheaper to run at scale," Raymond added. "It's likely going to take more time to mature the emerging foundation model stack (marked by retrieval-augmented generation ) into a performant and cost-effective option for most organizations." Creating a seamless AI development experience Overall, the re:Invent breakfast conversation conversation highlighted how MongoDB and its partners are working together to create a holistic, seamless AI development experience. By working closely with partner organizations to augment its industry-leading solutions , MongoDB ensures enterprises have access to everything they need in one place to develop cutting-edge, modern AI applications that are scalable, secure, and enterprise-grade. “Gradient's mission is to democratize AI by making it more accessible to enterprises and developers,” said Chris Chang, CEO and co-founder of Gradient. “However in AI, data itself can be challenging which is why our partnership with MongoDB will allow users to make the most out of their data and leverage a best-of-breed technology to help power new AI features.” To learn more about MongoDB’s artificial intelligence solutions—including resources to build next-generation applications — visit MongoDB for Artificial Intelligence . If your organization wants to build the next big thing in AI with MongoDB, consider applying for the MongoDB AI Innovators Program .
MongoDB Hosts First-Ever Events in ASEAN - Empowering Developers to Create, Transform, and Disrupt Industries
ASEAN countries present huge opportunities for businesses, with four of the top 10 economies by GDP in Asia Pacific belonging to the ASEAN region. In addition, IDC expects big data and analytics spending to grow by almost 20% from 2022 to reach $42.2 billion in 2023 in Asia Pacific. As more businesses invest in data, database management becomes critical to making smarter and more informed decisions. Increased demand for data management To meet this rising demand for data management in ASEAN countries, MongoDB has grown its employee base by more than 70% since January this year across all business functions, including solution architects, customer success, and professional services this year. This investment allows us to better serve our customers in the region, where our database management services attract more than 1,900 customers and see tens of thousands of downloads per month. Unleashing the power of data Access to data and the right skill sets are crucial for businesses to explore new opportunities and navigate new challenges. To better help developers address changing customer and market needs with modern applications, we held our MongoDB.local events for the first time in Bangkok, Jakarta, Kuala Lumpur, and Singapore. Taking place in September 2023, these events gathered luminaries, outstanding partners, and customers from different industries to share insights on how creating applications can transform workplaces and disrupt industries. The full-day events saw an overwhelming reception, with 1,500 attendees across all four cities who attended in keynote presentations, product demos, and networking sessions. Our customers, including AirAsia, Ascend Group, and TD Tawandang, took the stage to explain how MongoDB has helped them drive creativity, innovation, and productivity. AirAsia The pandemic forced travel and hospitality businesses to adapt to an entirely new market or risk falling behind. To diversify its revenue sources beyond flights, Malaysia’s largest airline quickly pivoted to a new business model offering a wide range of services including food delivery and private hire rides on its SuperApp. To deploy the app to market as quickly as possible, AirAsia needed a user-friendly and cost-efficient database solution. By using MongoDB Atlas, our multi-cloud database service that simplifies deploying and managing databases, on Google Cloud, AirAsia rapidly developed and launched its SuperApp without an extensive database team. MongoDB’s agility allowed AirAsia to control data platform costs while easily scaling with AirAsia's growing demands as the business continues to diversify. Ascend Group As a regional online conglomerate offering finance and retail solutions, Thailand-based fintech company Ascend needed to provide employees with a unified and consistent user experience when working with data to drive the customer experience. Using MongoDB Atlas, Ascend Group quickly developed and improved application agility and resilience across its affiliates, which is especially critical for its fast-moving e-commerce and retail businesses. For example, Ascend Group scaled its retail and e-commerce applications before the latest iPhone launch, avoiding website outages and delivering a better shopping experience when users ordered the new Apple devices. Ascend Group also uses MongoDB for real-time data analysis, allowing its Lotus retail business to better predict customer demand and optimise deliveries. Through these insights, Lotus can deliver fresh products to customers faster while providing real-time delivery updates on their orders. TD Tawandang As customers demand more personalised experiences , traditional retailers need to transform their business models. One of the fastest-growing retail technology companies in Thailand, TD Tawandang (TD) helps these retailers meet changing customer expectations. Its TD Retail platform includes a smart point of sale (POS) application that helps retailers automate stock replenishments and financial accounting, letting store owners focus on customer engagement and service instead of administrative work. Serving over 100,000 independent or family-owned small businesses, TD needed a scalable database solution that quickly provisions IT infrastructure on demand. As a growing business itself, the scalability of MongoDB on Google Cloud lets TD optimise cost while expanding the company’s transaction processing and real-time analytics capabilities. MongoDB has also encouraged innovation within the company, with TD releasing new features such as demand forecasting and fraud detection for TD Retail. These features give retailers an even stronger arsenal for tailoring the shopping experiences for their customers. To see more announcements and get the latest product updates, visit our What’s New page.
Get Ready as the MongoDB World Tour is Coming to Singapore
MongoDB.local Singapore is just around the corner. You’ll be getting an enriching experience on all things MongoDB on September 21. From keynote presentations to product demos and networking sessions, a full day of activities awaits you and our developer community. With technology becoming one of the most crucial parts of business and developers being fundamental to our growing digital economy, our line-up of expert keynote speakers should continue to inspire and nurture our community. So, we’ve gathered our best customers who have dug deep and uncovered unparalleled levels of creativity, innovation, and productivity with MongoDB, just for you. These are the ones who have transformed already agile business processes into something much more impactful. Our guest speakers are going to reveal what went on behind the scenes, the secrets to successful implementation and so much more: Affyn: How a cloud strategy was designed and implemented on a multi-cloud architecture to create a geolocation-based metaverse game. BigID: How MongoDB’s document model and distributed architecture deliver a scalable and flexible data management platform for privacy and protection. Morgan Stanley: How to fully optimize MongoDB as a document-oriented, high-performance, and scalable database through different business solutions and use cases. Terrascope: How technology is driving corporate climate action, reducing carbon footprint, and creating new opportunities to overcome them. Globe Telecom: How they are powering tomorrow's Mobile Retail to enhance business efficiency and accelerate speed to market. Our keynote speaker, Peder Ulander, Chief Marketing Officer of MongoDB, will share the latest features available in MongoDB7.0 and the improvements for developer experience, performance, security, and migrations. Mark your calendars and join us at MongoDB.local Singapore on Sep 21!
MongoDB 7.0 Now Available
MongoDB 7.0 is now available for download. Scalability was one of the driving forces behind the release, which we announced as generally available (GA) at our MongoDB.local event held in Chicago. MongoDB 7.0 makes it easier and faster to horizontally scale large MongoDB deployments. Other highlights of our newest major release include: New aggregation operators allow developers to write simpler code and push more processing down to the database. Optimized query execution logic leverages fewer disk reads, fewer compute resources, and less memory. Cluster-to-cluster sync capabilities make it easier to manage data across deployments for a wider range of use cases. Delivering the keynote address in Chicago was MongoDB Chief Product Officer, Sahir Azam. In addition to the MongoDB 7.0 major release, Azam announced the general availability of our groundbreaking Queryable Encryption , the industry's first database technology to bring expressive queries to in-use data encryption. Developers can rest easy knowing that our stable API ensures backwards compatibility with prior versions of Atlas so you can move through newer versions without having to make application changes at the same time. That's just one of several reasons to upgrade now. The show marches on Instead of holding one blow-out event in a single city like we did last year, this year we're coming out to see you and to tell you all about the exciting things happening at MongoDB. First came the announcement of Atlas Vector Search at MongoDB.local New York , then the general availability of MongoDB 7.0 in Chicago, and we're just getting started. We will have more exciting product announcements at our next big MongoDB.local event to be held in London. Each event includes technical sessions and demonstrations for developers of all levels hosted by our own MongoDB experts, and London will be no different. The event will be held September 26, 2023 at Tobacco Dock, Tobacco Quay from 8 a.m. to 5:30 p.m. BST, followed by a closing reception. Sessions are tailored for developers, architects, DevOps engineers, and anyone working with or learning MongoDB. You'll learn technologies, tools, and best practices that make it easy to build data-driven applications and get to connect with our experts and community to find new ways to build with MongoDB. Featured sessions at MongoDB.local London will include End-to-End Design by Boris Bialek, Managing Director, Industry Solutions for MongoDB, and Implementing Time-Series by Cristopher Stauffer, Director of Product Management for MongoDB. Visit our event page for a full agenda, to register, and to get tips on how to convince your boss that you should attend. Where in the world? If you're not anywhere near London, check out our list of MongoDB.local events in major cities all around the world and sign up now. Want to find out what you missed at our recent MongoDB.local events? You can catch any session you missed from MongoDB.local New York or MongoDB.local Chicago on the MongoDB YouTube channel. Or read up on some of our big announcements, like the private preview of MongoDB Atlas Stream Processing , the general availability of MongoDB Relational Migrator , and 4 Big Reasons to Upgrade to MongoDB 7.0 .
MongoDB.local is Coming to Hong Kong
MongoDB is hosting a series of events in cities all around the world that we're calling "MongoDB.local", and our Hong Kong event is approaching fast. Don’t forget to reserve a spot on your calendar for MongoDB.local Hong Kong on September 5, a one-day conference on all things MongoDB, including new product announcements, technical sessions, and opportunities to learn how customers are using MongoDB to reinvent their businesses. Hear from our guest speakers, including Cathay Pacific Airways , Manulife Asia , TVB and Omnichat , who will be sharing how they use MongoDB in various innovative ways to improve their operations and deliver enhanced customer experience. The MongoDB user community represents a wide range of backgrounds and experiences. We've tailored our sessions to cater to the diversity of our developer community. From data modeling and schema design to app-driven analytics and mobile data sync, our sessions will explore real-world scenarios and how to optimize MongoDB for performance, reliability, and scale. There's more than one way to get your questions answered at MongoDB.local. You can see live demos at the MongoDB booth and engage in networking throughout the day. In addition, attendees will be able to learn about the latest news on the product front. We've been hearing from customers who are facing a lot of challenges today, including increasing data privacy and security requirements, as well as the pain of modernizing their applications. So we'll be announcing some recent solutions for de-risking application migration and modernization along with some very exciting product announcements that are enabling customers to build next-generation applications. In the keynote, members of our executive leadership team — including MongoDB Chief Marketing & Strategy Officer, Peder Ulander — will be announcing the latest features and updates for MongoDB, along with how they see developing modern applications shaping up over the next few years. We look forward to seeing you at MongoDB.local Hong Kong . So don't wait to register.
Cloud Strides at MongoDB.local Auckland
MongoDB.local Auckland was held earlier this week, and from the testimonies shared by our customers and partners to the announcements made by our global executives one thing is clear: there’s never been a greater need for strong cloud strategies to support data-driven businesses. Kiwi companies of all sizes, whether serving the New Zealand market or reaching a global audience, are avid users of cloud services and leading technologies such as MongoDB. Recent commitments from Microsoft, Amazon, and Google to build and run cloud regions in New Zealand will unlock a wide array of new use cases, especially when it comes to making it simpler to build and deploy cloud projects that need to meet growing data sovereignty requirements. Senior Account Executive Jake McInteer kicking off MongoDB.local Auckland Speaking at the event, Ben Cefalo (VP of Product Management, MongoDB) further announced MongoDB’s intention to fully support each of the cloud providers’ regions on MongoDB Atlas . This will bring a local presence for MongoDB’s leading cloud database platform which is already being used widely around the world and in New Zealand. It’s a great example of MongoDB’s commitment to meet customers where they are, and our multi-cloud strategy to be available in as many regions around the world as possible. MongoDB already counts a number of large enterprises as customers in New Zealand, as well as a growing number of public sector customers. One data sovereignty-sensitive customer is planning to deploy a major system in Microsoft's NZ North cloud region once it opens (slated for next year by Microsoft). They have been running development and test workloads out of Azure's New South Wales data centre, but are planning for Production go-live in New Zealand due to the sensitive nature of the data. MongoDB's advanced multi-cloud and multi-region features in Atlas have streamlined that department's development lifecycle and helped keep the project on track. MongoDB has been increasing its capabilities dedicated to the public sector, and we are expecting more exciting projects in this space in the coming years. Having recently completed the IRAP assessment in Australia also brings the added safety net for regulated industries in New Zealand that MongoDB is built for security, resilience and compliance. MongoDB’s New Zealand customer base also boasts some of New Zealand’s fastest-moving and best startups and is spread right across the country - with LuminPDF down south , Marsello in Wellington , and Figured in Auckland , just to name a few. At the MongoDB.local Auckland event, there were also presentations from a number of customers such as Canva, Cloudize, and LuminPDF. Michael Pearson (Software Engineer from Canva) presented his team’s challenges and triumphs operating at a massive scale - supporting 110 million monthly active users who collaborate across more than 15 billion designs, a scale very few companies and platforms have reached globally. It’s a great example of how MongoDB Atlas supports businesses as they scale to a global audience. Michael Pearson, Software Engineer from Canva We also heard from MongoDB partners such as Microsoft who presented their plans to open the New Zealand North Azure Cloud Region. This was a great example, alongside AWS and GCP’s commitments, of global tech platforms investing in the NZ Tech ecosystem - giant shoulders on which platforms like MongoDB Atlas can build upon. I also particularly enjoyed Erich Kuba (Founder at Cloudize) presenting on his experience trying to scale a spam filtering business on a relational database technology. His business got so big that it broke his database and ultimately his business failed - it was a pertinent reminder of the criticality of the work software engineers do and the importance that our technology choices take on. Overall MongoDB.local Auckland was an awesome event, showcasing the best of MongoDB and our community here in New Zealand - we can’t wait to see it back again next year. Interested in going to a MongoDB.local event? See if one is coming to a city near you !
News from MongoDB.local NYC
After a triumphant return to live events with a three-day blowout in 2022, we decided to spread the love in 2023 with a series of smaller MongoDB.local events hosted in cities all over the world. On June 22, we held our first big event in New York's Javits Center. And, since it's New York City after all, it seemed like a good time to break some news. Keynote session There were developer jumpstarts and expert sessions beginning at 8 a.m. So, by the time MongoDB CEO Dev Ittycheria took to the Build Stage at 10 a.m. for the day's keynote address , things were already well underway. Ittycheria's speech underscored a consistent theme: that the real world is not static, that every business is driven by software, and since businesses operate in real-time, software has to be real-time, too. Whether that means breaking down relational data silos or streaming data for event-driven architectures, the drive for smarter, faster applications shows no sign of slowing. Other keynote presenters included MongoDB Chief Product Officer Sahir Azam , who announced the private preview of MongoDB Atlas Stream Processing and the general availability (GA) of MongoDB Relational Migrator . Breaking product news from MongoDB.local NYC MongoDB's Relational Migrator is now available to help organizations transition away from legacy databases and streamline their transition to MongoDB. Relational Migrator tackles some of the most common challenges in migration projects: effective data modeling, migrating data, and modernizing app code. Though Kotlin has historically been known for Android development, about half of Kotlin developers are using the language for server-side use cases. To that end, we are delighted to announce that the official MongoDB server-side Kotlin driver is now generally available. Other updates from MongoDB.local NYC MongoDB is thrilled to announce the public preview of our new Vector Search capability designed to meet the demands of data in all forms. AI applications rely on vector search to satisfy queries like “give me movies that feel sad” or “give me images that look like…” This new feature unlocks a whole new class of capabilities. Responsive, event-driven applications bring digital experiences to life for customers and accelerate time-to-insight and action for businesses. At MongoDB .local NYC, we announced the private preview of Atlas Stream Processing . It enables the processing of high-velocity streams of complex data with a few unique advantages for the developer experience. At .local NYC, we also rolled out a new feature that enables companies to install the Atlas Kubernetes Operator and export existing deployments through the MongoDB CLI for simpler infrastructure management and provisioning. Last, but not least, was the announcement of MongoDB Atlas' new resource tagging functionality. You can now organize and manage Atlas resources with improved efficiency by applying tags to categorize database deployments based on your business needs. For more updates, check out the product announcements page on our website. Most popular beginner sessions from MongoDB.local NYC Developer Jumpstart: Enhancing Your Ability to Develop Evolvable & Scalable Data-Centric Apps Building Intuitive Data Discovery Experiences: Tips and Tricks to Using Atlas Search Analytics Jumpstart: Enhancing Your Ability to Discover Critical Insights in Your Operational Data Under the Hood: How We're Modernizing Our Query Engine Building a Self-Service DBaaS for Your Internal Developer Platform with Atlas and Kubernetes Where MongoDB.local is headed next The world tour continues! We're hitting the road to bring the best, most relevant content directly to you. Connect with MongoDB experts, meet fellow users building the next big thing, and be among the first to hear the latest announcements. Check out what city we are coming to next .