Free Your Genius With MongoDB Atlas Free Tier

Marissa Jasso
August 14, 2020 | Updated: August 31, 2022
#MongoDB Atlas

What’s free, lasts forever, and can help you explore all your app ideas? You guessed it — a MongoDB Atlas free tier cluster.

Obviously there are plenty of reasons to use a more powerful cluster, but before you do, let’s explore the capabilities of Atlas free tier.

It’s Free — Forever

You heard it here first, folks. You never have to pay for your free tier cluster, and you can keep it on for as long as you’d like, on us. That means there’s no credit card required. We invest in the wonder of you, and all your great ideas. Why not test them all out?

New to Atlas?

MongoDB Atlas is our fully managed global cloud database providing best-in-class infrastructure, automation and proven practices that guarantee availability, scalability, and compliance with security standards. Atlas is available on more than 70 regions across AWS, GCP and Azure on our M0 free tier or our paid tiers (starting at M2). The most popular features of Atlas are available on paid and free clusters.

Features like MongoDB Atlas Search help you design and deliver top-notch built-in search capabilities. The Collections view lets you inspect and interact with your data. It also provides the Aggregation Pipeline Builder, which allows you to learn, test and visualize MongoDB’s aggregation framework.

Alt Text: Screenshot of Collections view of Atlas UI

You can also use your free tier cluster to test out MongoDB solutions that come integrated with Atlas, such as MongoDB Realm and MongoDB Charts, which both have their own free tier versions.

Free tier clusters are a great opportunity to start innovating at no cost. If you decide you want something more powerful, upgrading to a larger tier has never been easier. To get yourself an account, sign up for Atlas today.

Atlas Veteran?

If you already know your way around a cloud database, why would you use a free tier cluster? No matter where you are in your Atlas journey, free tier clusters can be useful for development environments, proof of concepts, checking out new Atlas features, and demos. No matter how many projects you have, you can always spin up one free tier cluster per project.

It’s Advantageous

Free tier clusters are deployed on the latest battle-tested version of MongoDB, meaning you’re getting all the perks (on-demand materialized views, client side FLE, wildcard indexes), with none of the cost. For more information on what you’d get with a free tier cluster today, read through this blog post, which discusses free tier features on MongoDB 4.2.

Free tier clusters come with 512MB of storage. If you’re curious about what you can do with that, we have a few ideas to get you started: Build a search engine in less than 10 minutes with MongoDB Atlas Search, test out MongoDB with new programming languages, or kickstart your Atlas learning process with our sample data sets.

It’s Distributed

Atlas free tier clusters are available on the cloud provider of your choice in the most popular regions, including AWS North Virginia, Google Cloud São Paulo, and Azure in the Netherlands. We’ll be expanding to more regions in the future, so if you don’t have access to your preferred region now, it won’t be long until you do. To see all the free tier options available, simply create a new cluster in the Atlas UI.

Alt Text: Screenshot of webpage to build a new cluster

The best way to check out all the features available on free tier is to play around with one yourself… What are you waiting for?

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Hanabi Technologies Uses MongoDB to Power AI Assistant, Hana

For all the hype surrounding generative AI, cynics tend to view the few real-world implementations as little more than “fancy chatbots.” But for Abhinav Aggarwal, CEO of Hanabi Technologies, the idea of a generative AI-powered bot that is more than just an assistant was intriguing. “I’d been using ChatGPT since it launched,” said Aggarwal. “That got me thinking: How could we make a chatbot that was like a team member?” And with that concept, Hana was born. The problem with bots “Most generative AI chatbots do not act like people; they wait for a command and give a response,” said Aggarwal. “We wanted to create a human-like chatbot that would proactively help people based on what they wanted—automating reminders, for example, or fetching time zones from your calendar to correctly schedule meetings.” Hanabi’s flagship product, Hana, is an AI assistant designed to enhance team collaboration within Google Chat, working in concert with Google Workspace and its suite of products. “Our target customers are smaller companies of between 10 and 50 people. At this size you’re not going to build your own agent from scratch,” he said. Hana integrates with Google APIs to deliver a human-like assistant that chimes in with helpful interventions, such as automatically setting reminders and making sure meetings are booked in the right time zone for each participant. “Hana is designed to bring AI to smaller companies and help them collaborate in a space where they are already working—Google Workspace,” Aggarwal explained. The MongoDB Atlas solution For Hana to act like a member of the team, Hanabi needed to process massive amounts of data to support advanced features like retrieval-augmented generation (RAG) for better information retrieval across Google Docs and many other sources. And with a rapidly growing user base of over 600 organizations and 17,000+ installs, Hanabi also required a secure, scalable, and high-performing data storage solution. MongoDB Atlas provided a flexible document model, built-in vector database, and scalable cloud-based infrastructure, freeing Hanabi engineers to build new features for Hana rather than focusing on rote tasks like data extract, transform, and load processes or manual scaling and provisioning. Now, MongoDB Atlas handles a variety of responsibilities: Scalability and security: MongoDB Atlas’s auto-scaling and automatic backup features have enabled Hanabi to seamlessly grow its user base without the need for manual database management. RAG: MongoDB Atlas plays a critical role in Hana’s RAG functionality. The platform enables Hanabi to split Google Docs into small sections, create embeddings, and store these sections in Atlas’s vector database. Development Processes: According to Aggarwal, MongoDB’s flexibility in managing changing schemas has been essential to the company’s fast-paced development cycle. Data Visualization: Using MongoDB Atlas Charts has enabled Hanabi to create comprehensive dashboards for real-time data visualization. This has helped the team track usage, set reminders, and optimize performance without needing to build a manual dashboard. Impact and results With MongoDB Atlas, Hanabi can successfully scale Hana to meet the demands of its rapidly expanding user base. The integration is also enabling Hana to offer powerful features like automatic interactions with customers, advanced information retrieval from Google Docs, and manually added memory snippets, making it an essential tool for teams around the world. Next steps Hanabi plans to continue integrating more tools into Hana while expanding its reach to personal Gmail users. The company is also rolling out a new automatic-interaction feature, further enhancing Hana’s ability to proactively assist users without direct commands. MongoDB Atlas remains a key component of Hanabi’s stack, alongside Google Kubernetes Engine, NestJS, and LangChain, enabling Hanabi to focus on innovating to improve the customer experience. Tech Stack MongoDB Atlas Google Kubernetes Engine NestJS LangChain Are you building AI apps? Join the MongoDB AI Innovators Program today! Successful participants gain access to free MongoDB Atlas credits, technical enablement, and invaluable connections within the broader AI ecosystem. If your company is interested in being featured, we’d love to hear from you. Connect with us at ai_adopters@mongodb.com.

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