Atlas Data Federation: Can Now Be Deployed in Azure and Supports Azure Blob Storage in Private Preview

Taylor Pacelli
June 29, 2023

We are thrilled to announce that Atlas Data Federation can now be deployed in Microsoft Azure as well as query Microsoft Azure Blob Storage!

With Atlas Data Federation, customers can seamlessly query, transform, or create views across multiple Atlas databases and cloud object storage solutions, such as Amazon S3 and now Microsoft Azure Blob Storage.

Previously, Data Federation could only be deployed to infrastructure hosted in AWS, limiting the ability of some customers on Microsoft Azure to utilize Atlas's full range of services. However, with the addition of Azure Blob Storage, Azure users can now query and analyze their data across multiple sources into a single, federated view.

When creating a federated database instance, customers will be prompted to select their preferred cloud provider (AWS or Azure). This fulfills our customers' top feature request and further establishes Atlas as a true multi-cloud solution.

With Atlas Data Federation, developers and data engineers can optimize performance and reduce the time and effort required to create refined datasets for downstream analytics. Decision-makers can minimize costs and improve team productivity by reducing existing data movement processes. By combining data across multiple sources into a single, federated view, Atlas Data Federation simplifies the process of accessing and analyzing data, providing valuable insights for more informed business decisions.

We thank you for choosing Atlas as your Developer Data Platform, and we hope that the addition of Azure support and Azure Blob Storage in private preview will give you more control and flexibility over your data.

Request access to join our Private Preview Today!

Head to the MongoDB.local hub to see where we'll be showing up next.

← Previous

Bendigo and Adelaide Bank Reflects on Their Successful Digital Transformation with MongoDB Atlas

Bendigo and Adelaide Bank is one of Australia’s largest banks, with around 7,000 employees and more than 2.2 million customers. The bank has been on a multi-year journey of transformation using MongoDB Atlas to improve efficiency and deliver a better customer experience. In an exclusive video series, Bendigo and Adelaide Bank’s cloud team reflects on the launch of Ready-Set-MongoDB (RSM), an event-driven framework that allows developers to streamline the consumption of internal or external APIs, and applies data transformations and storage automatically within a MongoDB collection of their choice. Winning MongoDB's APAC Innovation Awards 2023 RSM’s event-driven framework, built around strong automation capabilities that pull unstructured data from a range of sources into one place has allowed developers and service owners to access meaningful visualisations of internal or external APIs. Not only has this saved the team more than 1,100 developers days, it has led to the bank winning the 2023 MongoDB APAC Innovation award in the Organisational Transformation category. A developer-first culture at the heart of transformation Bendigo and Adelaide Bank is still right in the thick of a multi-year digital transformation journey, with the aim to not only deliver better experiences for customers but also reduce complexity for developers and the organisation as a whole. Working with MongoDB means empowering developers with a data layer that makes their lives easier, enabling them to move a lot faster and encouraging organic ideas to get off the ground, feeding into the bank’s unique engineering culture. Bendigo and Adelaide Bank's future: A hand in hand journey with MongoDB There is a lot on the horizon for the banking industry as a whole that keeps the Bendigo and Adelaide Bank’s engineering and developer team thinking about what’s next. Whether it’s upcoming regulatory compliance requirements such as CPS 230 or the rise of cloud and automation technologies, the team trusts MongoDB and its unique multi-cloud capabilities to continue supporting the bank’s digital journey in the coming years.

June 28, 2023
Next →

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.

November 21, 2024