Analyze data generated by your modern apps - web, mobile, social, and IoT - alongside traditional data stored in your relational databases.
No more complex ETL processes that move data from MongoDB into other systems for analysis. Save time, money, and effort.
Free up valuable developer resources by removing the need for complex ETL processes that move data from MongoDB into other systems for analysis.
Extend your Atlas database with a serverless Data Lake. You can federate queries and analyze data across live clusters and S3, without time sink.
The BI Connector is compatible with many popular BI and analytics platforms. Use MongoDB as a data source for Tableau, Excel, MicroStrategy, Microsoft Power BI, Qlik, and many more.
Reduce the likelihood of inconsistent analysis by allowing data consumers to connect directly to live operational data and eliminating the usage of ungoverned data transformations.
Reduce the performance impact of analytical workloads on other applications that rely on the same database by directing queries from the BI Connector to a secondary within your cluster.
Generate insights from data managed by MongoDB Atlas in a matter of minutes. The BI Connector for Atlas is a turnkey service that automates provisioning, patching, and failover.
The MongoDB BI Connector provides your BI platform information about the schema of the MongoDB collection you want to analyze.
Extend your Atlas database with a serverless Data Lake. You can federate queries and analyze data across live clusters and S3, without time sink.
The connector then gets back the results, converts them into a tabular format, and sends them to your BI platform for visualization.