Inside MongoDB’s Early Access Programs

Gabriela Preiss and Mehar Grewal
July 29, 2024 | Updated: August 7, 2024

In tech, staying ahead of the curve is essential. Tech companies must continually innovate and release new developments to meet the ever-evolving needs of users and global market demands. One successful strategy is the use of Early Access Programs (EAPs) and Preview Features. These initiatives offer unique opportunities for both companies and users, fostering mutually beneficial relationships that drive product excellence. You may have heard them referred to as "Beta Programs," "Pilot Programs," or "Feature Previews," but they all fall under the same category of early user engagement aimed at refining products before general release.

So what are Early Access Programs and Preview Features?

EAPs and Preview Features allow a select group of users to test and provide feedback on new features before general release. These programs are aimed at loyal customers, power users, or those who’ve shown interest in the company's products.

EAPs grant users early access to upcoming features or products still in development. Participants engage closely with the product team, providing valuable insights and feedback that shape the final product.

Preview Features are specific features in a product made available for users to try before the official release. Unlike beta testing, which may involve a full product, preview features are often isolated components of a larger system.

What are the Benefits of Early Access Programs?

They offer numerous advantages for both companies and users. Direct feedback from real users helps identify bugs, usability issues, and areas for improvement that may not be evident during internal testing. This actionable feedback is crucial in enhancing product quality, allowing companies to release more polished and reliable features. This means higher user satisfaction and fewer post-release problems.

EAPs also increase customer engagement and appreciation among participants by offering a hands-on exclusive experience to them. This can foster loyalty and strengthen the relationship between the company and its customers. These programs also provide market validation, offering an opportunity to gauge market interest and demand for new features. This enables companies to make data-driven decisions about which features to prioritize and further invest in. By identifying and resolving potential issues early in the development process, EAPs reduce the risk of major failures post-launch and allow for better resource allocation and planning.

How does MongoDB approach Early Access Programs?

At MongoDB, EAPs are classified into two categories: private preview and public preview. Private preview entails an invite-only white-glove experience for a select few participants who closely test and provide feedback. Public preview implies the feature is available to the public to try, either as downloadable tools or features in Atlas.

Key Elements

Selective Participation: MongoDB’s EAPs are typically invitation-only, targeting power users, those who’ve shown significant interest in new features, or are part of our MongoDB Champions community. This selective approach ensures that feedback comes from experienced users who can provide valuable insights.
Direct Collaboration: Participants engage directly with MongoDB’s product and engineering teams. This direct line of communication allows for real-time feedback, in-depth discussions, and a collaborative approach to feature development.
Structured Feedback Collection: We use a variety of methods to collect feedback, including surveys, structured interviews, and feedback forms. This structured approach ensures that feedback is actionable and can be effectively integrated into the development process.
Iterative Development: Feedback is used to make iterative improvements to the features being tested. This agile approach allows us to quickly address issues, refine functionalities, and enhance the overall user experience.
Transparency and Updates: We maintain open and transparent communication with our EAP participants, providing regular updates on the status of the features, changes made based on their feedback, and future development plans. This transparency fosters trust and keeps participants engaged throughout the program.
Rewards and Recognition: Participants can share their stories on our social channels, be part of global events, and win MongoDB swag!

Be Part of MongoDB’s Innovation

MongoDB’s Early Access Programs offer participants the chance to gain early access to innovative features, influence product development, and join an exclusive, engaged community. As we continue to innovate and expand our product offerings, our Early Access Programs will help us deliver high-quality, user-centric solutions that empower our customers to achieve their strategic objectives. Join us in shaping the future of MongoDB by enrolling in our early access programs today!

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Welcome to the (Tech) Olympics!

Welcome to the Tech Olympics, where code meets competition! With the 2024 Summer Olympics starting today, we thought it’d be fun to imagine developers as athletes, showcasing their skills in a series of thrilling events. From relay races to coding challenges, the Tech Olympics would bring together the brightest minds in tech for a competition like no other. Whether you're a coding wizard, a bug-squashing maestro, or an AI aficionado, there would be something to test your limits and celebrate your talents. Opening ceremony The opening ceremony is one of the most iconic aspects of the Olympics. From the lighting of the torch to performances by local artists, the opening ceremony encapsulates the spectacle of the games, and is a necessity for the Tech Olympics. The Tech Olympics opening ceremony would kick off with a grand procession of teams involved, adorned in attire representing their area of expertise. Next, there’d be a performance by artists and developers using augmented and virtual reality to blend art with cutting-edge technology. Finally, there would be the lighting of the torch, but instead of the flame being run across the country, an application would be written and passed between developers from around the world that, when run, would light the torch and start the games. Now that we’ve kicked off the Tech Olympics, let's consider what its events might look like. Code sprint relay The "code sprint relay" would be a collaborative coding event where teams of developers would tackle a series of coding challenges in relay format. The twist would be that each member could only code for a set period (say, 5-10 minutes) before handing the code off to the next person. This setup requires clear communication and strategic planning, as each coder must quickly understand and build upon their predecessor's work. Code sprint relay challenges would range from algorithm problems to debugging tasks, demanding various skills and swift adaptability. This event would be fast-paced and dynamic, with a lively atmosphere filled with the buzz of coding and quick exchanges of ideas. Success would be measured not only by the completion of challenges but also by the efficiency and quality of the code, making this event a test of teamwork and technical skill under pressure. Security capture the flag Capture the flag might seem more like a kids’ game than an Olympic event, but trust us, there’d be nothing childish about this event. The "security capture the flag" event would be an exciting cybersecurity competition in which participants would need to solve security-related challenges to capture hidden "flags." These challenges would range from web application exploits and reverse engineering, to cryptographic puzzles and network forensics. Working in teams, participants would race against the clock to uncover vulnerabilities, exploit them, and find the embedded flags within a controlled, simulated environment. At the end, a debriefing session would highlight the most innovative solutions and techniques used. Success would be measured by the number of flags captured and the ingenuity of the approaches, showcasing participants' technical skills and strategic thinking under pressure. Bug hunt Have you ever built out your code and then, upon running it, realized that you made a mistake? If you have, you’ll understand just how intense this next event could be! The "bug hunt challenge" would be a fast-paced competition in which participants are tasked with finding and fixing bugs within a complex codebase. Each individual would be given the same software project with numerous hidden bugs, ranging from simple syntax errors to intricate logical flaws. Participants must use their debugging skills and tools to identify and resolve as many issues as possible within a set time limit. The event would be marked by intense focus and strategic problem-solving as competitors meticulously comb through the code. An automated system would verify the fixes instantly, ensuring accuracy and efficiency. Success would be measured by the quantity and severity of bugs resolved, along with the quality of the fixes, making this event a test of attention to detail and technical proficiency. AI arena We’d be remiss not to include an AI event! The "AI arena" event would be a competitive showcase where participants create machine learning models using a provided dataset to solve a specified problem. Teams would have several hours to analyze the data, create features, and train their models. The objective would be to develop a model with the highest accuracy and performance, balancing technical innovation with practical application. In the end, teams would present their models to judges, explaining their methodologies and challenges faced. Judging criteria would include model accuracy, creativity, and clarity of the presentation, making this event a comprehensive test of technical and communication skills. Location Finally, you can’t have an Olympics without a city to host it. There are plenty of tech hubs to choose from—San Francisco, London, Beijing—but we thought it’d be more fun to pick a growing tech hub like Ha Noi, Vietnam, as our location. Vietnam had the highest digital economy growth in Southeast Asia in 2022 , putting it on the path to be named alongside other “tech giant” cities. Also, Vietnamese food is excellent! During the games, local startups and tech companies would showcase their work on the world stage, and visiting developers would see the innovations that Vietnamese companies are working on. Sadly, there won’t be an actual Tech Olympics this year, but maybe in the future, there will be. An event that will bring the world's best developers together to showcase their skills, foster friendly competition, and allow the world to see just how amazing developers are. If you have some ideas about other events you would want to see at a Tech Olympics, connect with us on X (Twitter) and let us know what your ideas are. Interested in learning more about or connecting more with MongoDB? Join our MongoDB Community to meet other community members, hear about inspiring topics, and receive the latest MongoDB news and events.

July 26, 2024

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MongoDB and Partners: Building the AI Future, Together

If you’re like me, over the past year you’ve closely watched AI’s developments—and the world’s reactions to them. From infectious excitement about AI’s capabilities, to impatience with its cost and return on investment, every day has been filled with AI twists and turns. It’s been quite the roller coaster. During the ride, from time to time I’ve wondered where AI falls on the Gartner hype cycle, which gives "a view of how a technology or application will evolve over time." Have we hit the "peak of inflated expectations" only to fall into the "trough of disillusionment?" Or is the hype cycle an imperfect guide, as The Economist argues? The reality is that it takes time for any new technology—even transformative ones like AI—to take hold. And every advance, no matter how big, has had its detractors. A famous example is that of Picasso (!), who in 1968 said, “Computers are useless. They can only give you answers.” (!!) For our part, MongoDB is convinced that AI is a once-in-a-generation technology that will enhance every future application—a belief that has been reinforced by the incredible work our partners have shared at MongoDB’s 2024 events. Speeding AI development MongoDB is committed to helping organizations of all sizes succeed with AI, and one way we’re doing that is by collaborating with the MongoDB partner ecosystem to create powerful, user-friendly AI development tools and solutions. For example, Fireworks.ai —which is a member of the MongoDB AI Applications Program ecosystem —created an inference solution that hosts gen AI models and supports containerized deployments. This tool makes it easier for developers to build and deploy powerful applications with a range of easy-to-use tools and customization options. They can choose to use state-of-the-art, open-source language, image, and multimodal foundation models off the shelf, or they can customize and fine-tune models to their needs. Jointly, Fireworks.ai and MongoDB provide a solution for developers who want to leverage highly curated and optimized open-source models and combine these with their organization’s own proprietary data—and to do so with unparalleled speed and security. “MongoDB is one of the most sophisticated database providers, and it’s very easy to use,” said Benny Chen , cofounder of Fireworks.ai. "We want developers to be able to use these tools, and we want to work with providers who enable and empower developers." Nomic , another MAAP ecosystem member, also enables developers with best-in-class solutions across the entire unstructured data workflow. Their Embed offering, available through the Nomic API , allows users to vectorize large-scale datasets for use in text, image, and multimodal retrieval applications, including retrieval-augmented generation (RAG), using only their web browser. The Nomic-MongoDB solution is a highly efficient, open-weight model that developers can use to visualize the unstructured datasets they store in MongoDB Atlas . These insights help users quickly discover trends and articulate data-driven value propositions. Nomic also supported the recently announced vector quantization in MongoDB Atlas Vector Search , which reduces vector sizes while preserving performance. Last—but hardly least!—there’s our new reference architecture with MAAP partners AWS and Anthropic. Announced at MongoDB.local London , the reference architecture supports building memory-enhanced AI agents, and is designed to streamline complex processes and develop smarter, more responsive applications. For more—including a link to the code on Github— check out the MongoDB Developer Center . Making AI work for anyone and everyone The companies MongoDB partners with aren’t just making gen AI easier for developers—they’re building tools for everyone. For example, Capgemini has invested $2 billion in gen AI and is training 100,000 of its employees in the technology. GenYoda, a solution that helps insurance professionals with their daily work, is a product of this investment. GenYoda leverages MongoDB Atlas Vector Search to analyze large amounts of customer data, like policy statements, premiums, claims history, and health information. Using GenYoda, insurance professionals can quickly analyze underwriters’ reports to make informed decisions, create longitudinal health summaries, and streamline customer interactions to improve contact center efficiency. GenYoda can ingest 100,000 documents in just a few hours and respond to users’ queries in two to three seconds—a metric on par with the most widely used gen AI models. And it produces results: in one example, by using Capgemini’s solution an insurer was able to increase productivity by 15%, add new reports 25% faster (thus speeding decision-making), and reduce the manual effort of searching PDFs, increasing efficiency by 10%. Building the future of AI together So, what’s next? Honestly, I’m as curious as you are. But I’m also incredibly excited. At MongoDB, we’re active participants in the AI revolution, working to embrace the possibilities that lie ahead. The future of gen AI is bright, and I can’t wait to see what we’ll build together. To learn more about how MongoDB can accelerate your AI journey, explore the MongoDB AI Applications Program .

November 4, 2024