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Confluence + PostgreSQL
Confluence is a collaboration platform that teams use to create, share, and organize information in pages and spaces. PostgreSQL, on the other hand, is a highly robust and scalable open-source relational database management system. It supports a wide range of data types and advanced capabilities.
With Erathos, you can integrate Confluence data into PostgreSQL in just a few minutes. Our platform handles the entire data movement process into your analytics environment and makes it easy to join that data with other sources in your data warehouse. That way, your time is spent where it truly creates value — uncovering actionable insights and making more data-driven decisions.
What Confluence data does Erathos sync to PostgreSQL?
The integration automatically syncs the main Confluence objects:
Projects — status, assignees, dates, and settings
Tasks and subtasks — priority, status, estimates, and assignees
Sprints — dates, velocity, and planning data
Members — users, roles, and workload
Comments — discussion and decision history
Custom fields — team-defined properties and tags
Why sync Confluence with PostgreSQL?
Confluence reports show project progress, but not the business impact. In PostgreSQL, you can connect productivity data with product, revenue, and customer satisfaction metrics — calculating lead time, identifying systemic bottlenecks, and correlating execution speed with business outcomes.
How it works
Erathos connects to Confluence through the official API and syncs data incrementally — only new or updated records are processed in each run, keeping pipelines fast and PostgreSQL costs predictable. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the destination dataset. Every run is fully observable and logged with execution time, rows processed, contextual errors, and instant alerts via Slack or email if something goes wrong.
No credit card required.


Why do data teams choose Erathos for Confluence?
Ready-to-use Confluence connector
Connect Confluence to PostgreSQL and automatically export tasks, projects, sprints, and members. Centralized productivity data for analysis—no CSVs, no scripts.
Total control over your Confluence pipelines
Configure sync frequency and type by table. Erathos uses intelligent UPSERT in PostgreSQL—ensuring data consistency even during reprocessing.
End-to-end observability
Stop finding out about Confluence issues only after the business team complains. Every run is logged with execution time, rows processed, and error context. Get automatic alerts via Slack, Discord, or email as soon as something goes off track — with fresh productivity data always ready for your sprint reports.
Why Companies Move Data from Confluence to PostgreSQL with Erathos
Centralizing Confluence data in PostgreSQL has never been easier.
Erathos is a data ingestion platform for operations and data teams. With the Confluence connector, you can automatically export tasks, projects, sprints, and productivity data to PostgreSQL—centralized productivity data ready for analysis.
Our Customers
Trusted by data-driven companies
Simplified data ingestion
1
Select your data source
More than 80 plug-and-play connectors to consolidate data from multiple sources, eliminate time-consuming manual processes, and create a streamlined path forward.
2
Setup your pipeline
Manage your pipeline seemlessly. Select a sync hour, frequency and type at a table/endpoint level.
3
Select your data warehouse
Choose between Amazon S3, BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data
FAQ
What is Erathos and how can it help my company?
Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like Confluence to their data warehouse—with full observability into every run, zero maintenance, and none of the opacity of traditional market tools.
What Confluence data does Erathos sync to PostgreSQL?
Erathos syncs Projects, Tasks, Subtasks, Members, Sprints, Statuses, and Comments from Confluence to PostgreSQL. Custom fields, tags, and task dependencies created by the team are also exported.
How often does Erathos synchronize data from Confluence to PostgreSQL?
You can configure synchronization frequency at the table level, from every 5 minutes up to daily. Erathos uses incremental sync—only new or updated records are processed in each run, keeping the Confluence pipeline efficient and PostgreSQL costs predictable.
What happens if a Confluence sync fails?
Erathos automatically detects failures and sends alerts to your email, Slack, or Discord with full context—not just "job failed." Smart retries handle transient errors, and every execution is logged with run time, processed rows, and error context so your team can debug in minutes, not hours.
Is there a free trial period for the Confluence connector?
Yes. Every Erathos connector includes a 14-day free trial. Connect Confluence to PostgreSQL and start syncing immediately—no credit card required.


















