Move your data from Confluence 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
Confluence connector details
The Confluence connector captures content, user activity, and metadata from your Confluence Cloud instance into Estuary collections using the Confluence REST API. It’s optimized for scalability and low latency, making it ideal for syncing documentation, collaboration data, and audit logs across your systems.
- Supported resources: Audit, Pages, Blog Posts, Groups, and Spaces
- Authentication: Uses Atlassian API Token, domain name, and login email for secure access
- Flexible configuration: Easily set up through the Flow web app or via specification files
- Scalable and reliable: Enhanced for performance within the Flow system compared to third-party connectors
- Deployment options: Works securely in Estuary’s Public, Private, and BYOC environments
💡 Tip: Use this connector to centralize Confluence data in warehouses like BigQuery or Snowflake for content analytics, compliance auditing, and knowledge management.
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 Confluence 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 Confluence insights always reflect the latest data by connecting your databases to Confluence with change data capture.
- Or connect critical SaaS apps to Confluence 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 |
Deliver real-time and batch data from DBs, SaaS, APIs, and more
Build Free Pipeline
