Secure and Scale Data with MongoDB Atlas on Azure and Google Cloud

MongoDB is committed to simplifying the development of robust, data-driven applications—regardless of where the data resides. Today, we’re announcing two major updates that enhance the security, scalability, and flexibility of MongoDB Atlas across cloud providers.

Private, secure connectivity with Azure Private Link for MongoDB Atlas Data Federation, Atlas Online Archive, and Atlas SQL

Developers building on Microsoft Azure can now establish private, secure connections to MongoDB Atlas Data Federation, MongoDB Atlas Online Archive, and MongoDB Atlas SQL using Azure Private Link, enabling:

• End-to-end security: Reduce exposure to security risks by keeping sensitive data off the public internet.

• Low-latency performance: Ensure faster and more reliable access through direct, private connectivity.

• Scalability: Build applications that scale while maintaining secure, seamless data access.

Imagine a financial services company that needs to run complex risk analysis across multiple data sources, including live transactional databases and archived records. With MongoDB Atlas Data Federation and Azure Private Link, the company can securely query and aggregate this data without exposing it to the public internet, helping it achieve compliance with strict regulatory standards.

Similarly, an e-commerce company managing high volumes of customer orders and inventory updates can use MongoDB Atlas Online Archive to seamlessly move older transaction records to cost-effective storage—all while ensuring real-time analytics dashboards still have instant access to historical trends.

With Azure Private Link, these applications benefit from secure, low-latency connections, enabling developers to focus on innovation instead of on managing complex networking and security policies.

General availability of MongoDB Atlas Data Federation and Atlas Online Archive on Google Cloud

Developers working with Google Cloud can now use MongoDB Atlas Data Federation and Atlas Online Archive, which are now generally available in GA. This empowers developers to:

• Query data across sources: Run a single query across live databases, cloud storage, and data lakes without complex extract, transform, and load (ETL) pipelines.

• Optimize storage costs: Automatically move infrequently accessed data to lower-cost storage while keeping it queryable with MongoDB Atlas Online Archive.

• Achieve multi-cloud flexibility: Run applications across Amazon Web Services (AWS), Azure, and Google Cloud without being locked in.

For example, a media streaming service might store frequently accessed content metadata in a high-performance database while archiving older user activity logs in Google Cloud Storage. With MongoDB Atlas Data Federation, the streaming service can analyze both live and archived data in a single query, making it easier to surface personalized recommendations without complex ETL processes.

For a healthcare analytics platform, keeping years’ worth of patient records in a primary database can be expensive. By using MongoDB Atlas Online Archive, the platform can automatically move older records to lower-cost storage—while still enabling fast access to historical patient data for research and reporting.

These updates give developers more control over building and scaling in the cloud. Whether they need secure access on Azure or seamless querying and archiving on Google Cloud, MongoDB Atlas simplifies security, performance, and cost efficiency.

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