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Confluence + Databricks
Confluence is a collaboration platform that lets teams create, share, and organize information in pages and spaces. Databricks, in turn, is a serverless Big Data platform that provides robust capabilities for storing and analyzing data at scale.
With Erathos, you can integrate Confluence data into Databricks in just a few minutes. Our platform handles the entire data movement process into your analytics environment and makes it easy to combine that data with other sources in your Data Warehouse. That means your time goes toward what really creates value — extracting actionable insights and making more data-driven decisions.
Which Confluence data does Erathos sync with Databricks?
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 — custom properties and tags defined by the team
Why sync Confluence with Databricks?
Confluence reports show project progress, but not business impact. In Databricks, you connect productivity data with product, revenue, and customer satisfaction metrics — calculating delivery lead time, identifying systemic bottlenecks, and correlating execution speed with business outcomes.
How it works
Erathos connects to Confluence via the official API and syncs your data incrementally — only new or updated records are processed on each run, keeping pipelines fast and Databricks costs predictable. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the target dataset. Each run is logged with full observability: execution time, rows processed, errors with context, and instant alerts via Slack or email if anything goes wrong.
No credit card required.
Why do data teams choose Erathos for Confluence?
Ready-to-use Confluence connector
Connect Confluence to Databricks and automatically export tasks, projects, sprints, and members. Centralized productivity data for analysis—no CSVs, no scripts.
Total control over your Confluence pipelines
Configure frequency, sync type, and partitioning by table. Data arrives in Databricks ready for ML, analytics, and ad hoc queries—with predictable cost.
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 are moving data from Confluence to Databricks with Erathos
Centralizing Confluence data in Databricks 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 Databricks—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 synchronize to Databricks?
Erathos synchronizes Projects, Tasks, Subtasks, Members, Sprints, Statuses, and Comments from Confluence to Databricks. Custom fields, tags, and task dependencies created by the team are also exported.
How often does Erathos synchronize data from Confluence to Databricks?
You can configure sync 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 Databricks 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 Databricks and start syncing immediately—no credit card required.