Move your data from Confluence with your free account
Capture data from Confluence and deliver it to your destinations using Estuary's pre-built connectors. Build pipelines for real-time, incremental, or batch data movement based on connector capabilities.
- <100ms to batch
- 200+ connectors
- Managed data pipelines
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 Estuary web app or via specification files
- Scalable and reliable: Enhanced for performance within the Estuary 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.
How to connect Confluence to your destination in 3 easy steps
- 1
Connect Confluence as your data source
Securely connect Confluence and choose the objects, tables, or collections you need to sync.
- 2
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
- 3
Deliver to your destination
Continuously or periodically deliver your data to the destination you choose, based on the capabilities and configuration of your pipeline.
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 scales for demanding data workloads.
DURABLE COLLECTIONS
Store data as it moves so you can transform, replay, and deliver it downstream.
FLEXIBLE LATENCY
From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.
From <100ms to batch
Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Capture data from Confluence using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.
- Connect Confluence to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
- Capture once and reuse Confluence data across transformations and multiple downstream destinations without rebuilding source extraction.
See where you can send Confluence data:
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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | Kafka | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Latency | <100ms to scheduled | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale | ||||
| Maintenance Effort | Low | Medium | High | High |
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