01. Move from GitHub02. Transform in-flight03. Select a destination
GitHub connector details
The GitHub capture connector in Estuary Flow enables you to stream data from your source system in real time, with minimal impact on performance. Using log-based Change Data Capture (CDC), Flow continuously ingests new and updated records without heavy bulk loads. Whether you need low-latency replication, hybrid cloud integration, or continuous analytics, Estuary Flow ensures your data is accurate, fresh, and always moving where it needs to go.
Log-based CDC for high-performance, low-impact data capture
Automatic schema evolution to handle changes in source structure without manual intervention
Unified streaming and batch ingestion in the same pipeline
Hybrid deployment and BYOC support for security and control
Fault-tolerant pipelines that resume automatically from the last checkpoint
Kafka API connectivity for direct integration into streaming ecosystems
For more details about the GitHub connector, check out the documentation page.
HIGH THROUGHPUT
Distributed event-driven architecture enable boundless scaling with exactly-once semantics.
DURABLE REPLICATION
Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.
REAL-TIME INGESTION
Capture and relay every insert, update, and delete in milliseconds.
Real-timehigh throughput
Point a connector and replicate changes from GitHub in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 100s of batch and real-time connectors to move and transform data using ELT and ETL.
Ensure your GitHub insights always reflect the latest data by connecting your databases to GitHub with change data capture.
Or connect critical SaaS apps to GitHub with real-time data pipelines.
