Introducing HTTP and MongoDB CDC Connectors for Fabric Eventstream
Microsoft Fabric Blog announces new HTTP and MongoDB CDC connectors for Eventstream, enabling users to easily integrate and analyze real-time data within Fabric RTI.
Introducing HTTP and MongoDB CDC Connectors for Fabric Eventstream
Microsoft Fabric Real-Time Intelligence (RTI) expands its Eventstream platform with two powerful data connectors: HTTP and MongoDB Change Data Capture (CDC).
HTTP Connector
- Provides a no-code, configurable solution to stream data from external platforms into Eventstream using standard HTTP GET or POST requests.
- Supports direct streaming of real-time data (such as financial stock prices from providers like Yahoo Finance) for dashboards and anomaly detection in Fabric RTI.
- Allows users to select from predefined public data feeds. After entering an API key, Eventstream handles HTTP headers and parameters automatically.
- Reduces development overhead, supporting scalable and reliable real-time data ingestion.
- Learn more in the Microsoft documentation.
MongoDB CDC Connector
- Streams real-time change events from any MongoDB source, including MongoDB Atlas and self-managed databases, directly into Eventstream.
- Ensures dashboards and analytics update as soon as data changes, keeping business insights timely.
- Supports Snapshot mode, letting users capture an initial snapshot of data collections before initiating real-time streaming for a complete and consistent view from day one.
- Setup guide available here.
Community-Driven Development
- Both connectors were developed based on feedback from users through Fabric Ideas and surveys.
- Community input shapes the Eventstream roadmap, with direct feature development influenced by suggestions, voting, and shared insights.
Get Involved
- Share new ideas, vote on existing features, and provide feedback using Fabric Ideas on Microsoft Fabric Community.
- User survey available here for submitting top connector requests.
Microsoft Fabric Eventstream continues to evolve to meet real-time analytics needs thanks to ongoing community input and feedback.
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