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Confluence + Amazon S3
Confluence is a collaboration platform that lets teams create, share, and organize information in pages and spaces. Amazon S3, in turn, is a scalable AWS cloud storage service used to store and retrieve large volumes of data.
With Erathos, you can integrate Confluence data into Amazon S3 in just a few minutes. Our platform handles the entire data movement process into your analytics environment and makes it possible to combine that data with other sources in your data warehouse. That way, your time goes toward what truly creates value — extracting actionable insights and making more data-driven decisions.
Which Confluence data does Erathos sync with Amazon S3?
The integration automatically syncs Confluence’s main objects:
Projects — status, owners, dates, and settings
Tasks and subtasks — priority, status, estimates, and assignees
Sprints — dates, velocity, and planning data
Members — users, roles, and workload
Comments — discussion history and decisions
Custom fields — team-defined properties and custom tags
Why sync Confluence with Amazon S3?
Confluence reports show project progress, but not the business impact. In Amazon S3, you can connect productivity data with product, revenue, and customer satisfaction metrics — calculating actual delivery time, identifying systemic bottlenecks, and correlating execution speed with business outcomes.
How it works
Erathos connects to Confluence through the 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 every 5 minutes to daily), which objects to sync, and the destination dataset. Every run is logged with full observability: execution time, rows processed, context-rich 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 Amazon S3 and automatically export tasks, projects, sprints, and members. Centralized productivity data for analytics—no CSVs, no scripts.
Total control over your Confluence pipelines
Configure the frequency, partitioning, and format of files generated in S3. Data arrives organized by date and time—ready for Athena, Spark, or any tool.
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 Amazon S3 with Erathos
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 Amazon S3—centralized productivity data that is 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 synchronize to Amazon S3?
Erathos syncs Projects, Tasks, Subtasks, Members, Sprints, Statuses, and Comments from Confluence to Amazon S3. Custom fields, tags, and task dependencies created by the team are also exported.
How often does Erathos synchronize data from Confluence to Amazon S3?
You can configure sync frequency at the table level, from every 5 minutes up to once daily. Erathos uses incremental sync—only new or updated records are processed in each run—keeping your Confluence pipeline efficient and your Amazon S3 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 Amazon S3 and start syncing immediately—no credit card required.