Confluence + Amazon S3
Confluence is a collaboration platform for teams to create, share, and organize information in pages and spaces. ClickHouse is an open-source columnar analytical database designed for fast queries and real-time processing of large data volumes.
With Erathos, Confluence data lands in Amazon S3 in organized, query-ready files, without your team having to write a single ETL script. This paves the way for queries via Athena or Spark and for archiving complete history without the cost of a traditional data warehouse.
- Pages content, version history, and page hierarchy
- Spaces structure and permissions of each workspace
- Comments discussion threads attached to pages
- Attachments files linked to pages
- Users authors and page collaborators
- Labels tags used to organize and find content
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Configure the sync
Pick the tables, the schedule and the update type: batch, cursor-based incremental or CDC.
Choose your destination
Load into BigQuery, Redshift, Databricks, PostgreSQL, ClickHouse, Amazon S3 and more.
Why sync Confluence to Amazon S3?
In Amazon S3, Confluence data becomes available in an open format, ready for querying via Athena, Spark, or any analytics engine, without relying on a specific data warehouse.
How it works
Erathos connects to Confluence via official API and syncs your data incrementally: only new or updated records are processed on each run, keeping pipelines fast and Amazon S3 costs predictable. You choose the sync frequency (from 5 minutes to daily), the objects to sync, and the destination dataset. Every run is logged with full observability: runtime, rows processed, error context, and instant alerts via Slack or email if something goes wrong.
Centralizing Confluence data in Amazon S3 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 ClickHouse—centralized productivity data that’s analysis-ready.
Confluence data in Amazon S3 in minutes
Ready-to-use Confluence Connector
Connect Confluence to ClickHouse and automatically export tasks, projects, sprints, and members. Centralized productivity data for analysis—no CSVs and no scripts.
Learn moreFull control over your Confluence pipelines
Configure frequency, partitioning, and file format for what lands in S3. Data arrives organized by date and time, ready for Athena, Spark, or any analytics tool.
Learn moreEnd-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.
Learn moreBuilding data-driven stories
“Every new source implementation, if I had to do it myself, would take about two or three months. With Erathos, it's done in a few hours. I don't need the skills of a data engineer to generate real value from the company's data.”
“Erathos revolutionized data management at WE. By integrating multiple SaaS tools into a single DW, our technical team now focuses on the core business. We implemented dashboards with insights across every area, enriching our organizational culture and improving our decision-making.”
“We used to have a lot of rework, and now we don't. It's more efficient to work this way. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.”
“If I didn't have this infrastructure, I'd need three or four people to do what Erathos does today. I was able to generate real value from my data with a much leaner setup than I thought I'd need. That's the core of building a data-driven culture: the team only uses data when they can trust it.”
“Erathos brought a practical turnaround at CCM. We were able to integrate financial systems, CRM, and processes with BigQuery in just a few clicks, with no technical team required. That gave us a reliable data warehouse that powers automations, dashboards, and even our customer service bots.”
“The robustness and efficiency of Erathos's connectors — whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul — make the whole process much faster and more reliable. The technical documentation is extremely well put together and intuitive, which makes implementation much easier.”
Other paths for your data
Other destinations for Confluence
Confluence + Azure SQL Server
Coming soon
Confluence + Azure Synapse
Coming soon
Confluence + BigQuery
Coming soon
Confluence + ClickHouse
Coming soon
Confluence + Databricks
Coming soon
Confluence + PostgreSQL
Coming soon
Confluence + Redshift
Coming soon
Confluence + Snowflake
Coming soon
Confluence + Supabase
Coming soon
Other sources that land in Amazon S3
CRMs, ERPs, ad platforms and databases, all through the same managed pipeline.
Frequently Asked Questions
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.
Erathos syncs Pages, Spaces, Comments, Attachments, Users, and Labels from Confluence to Amazon S3.
You can configure the sync frequency from every 5 minutes up to daily, at the table level. Erathos uses incremental synchronization—only new or updated records are processed on each run, keeping the Confluence pipeline efficient and ClickHouse costs predictable.
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.
Yes. Every Erathos connector includes a 14-day free trial. Connect Confluence to Amazon S3 and start syncing right away, no credit card required.