

Move your data from GitHub with your free account
Continously ingest and deliver both streaming and batch change data from 100s of sources using Estuary's custom no-code connectors.
- <100ms Data pipelines
- 100+ Connectors
- 2-5x less than batch ELT



GitHub connector details
The GitHub connector continuously captures repository and organization data from GitHub into Estuary collections using the GitHub REST API, enabling right-time visibility across code, collaboration, and DevOps activities.
- Comprehensive coverage: Captures a wide range of GitHub resources including commits, pull requests, issues, workflows, releases, stargazers, and more, spanning both batch and incremental data.
- Right-time synchronization: Continuously ingests new commits, issues, and discussions as they occur, providing developers and data teams with an up-to-date view of repository activity.
- Flexible authentication: Supports OAuth2 for secure browser-based access or Personal Access Tokens (PATs) for command-line or managed integration setups.
- Granular configuration: Allows selective repository capture, branch-level filtering, and adjustable page sizes for large projects.
- Scalable for enterprise teams: Efficiently handles multi-repository or organization-wide synchronization while respecting GitHub API rate limits.
- Schema-aligned structure: Each GitHub resource maps to a separate Flow collection, simplifying downstream analysis, metrics tracking, or data lake ingestion.
💡 Tip: For organizations with many repositories, use wildcard patterns (like org/*) to automatically capture all repositories under one organization, ensuring comprehensive and future-proof coverage of your GitHub data.
How to connect GitHub to your destination in 3 easy steps
Connect GitHub as your data source
Securely connect GitHub and choose the objects, tables, or collections you need to sync.
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
Sync to your destination
Continuously or periodically deliver data to your destination with support for change data capture and reliable delivery for accurate insights.
Trusted by data teams worldwide
All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.
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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.
Don't see a connector?Request and our team will get back to you in 24 hours
Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | Kafka | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Speed | <100ms | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale | ||||
| Maintenance Effort | Low | Medium | High | High |

Deliver real-time and batch data from DBs, SaaS, APIs, and more

Popular sources/destinations you can sync your data with
Choose from more than 100 supported databases and SaaS applications. Click any source/destination below to open the integration guide and learn how to sync your data in real time or batches.
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Snowflake
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Azure Cosmos DB
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MongoDB
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Timescale
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Google PubSub
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Google Sheets
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Firebolt
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Amazon S3 Parquet
























































