Jira + Databricks
Jira is a widely used project management and issue-tracking platform developed by Atlassian. Databricks, in turn, is a serverless big data solution that provides robust capabilities for large-scale data storage and analytics.
With Erathos, you can integrate Jira data into Databricks in just a few minutes. Our platform handles the entire data movement process into your analytics environment and makes it possible to join that data with other sources in your Data Warehouse. That way, your time goes where it creates real value — extracting actionable insights and making more data-driven decisions.
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Connect your source
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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.
Which Jira data does Erathos sync with Databricks?
The integration automatically syncs Jira’s core 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 history and decisions
- Custom fields — team-defined properties and tags
Why sync Jira with Databricks?
Jira reports show project progress, but not the business impact. In Databricks, you 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 Jira via the official API and syncs your data incrementally — only new or updated records are processed in each run, keeping pipelines fast and Databricks costs predictable. You choose the sync frequency (from 5 minutes to daily), the objects to sync, and the target dataset. Each run is fully observable: execution time, rows processed, errors with context, and instant alerts via Slack or email if anything goes wrong.
Centralizing Jira data in Databricks has never been easier.
Erathos is a data ingestion platform for operations and data teams. With the Jira connector, you can automatically export tasks, projects, sprints, and productivity data to Databricks—centralized productivity data that is ready for analytics.
Data in your data warehouse in minutes
Ready-to-use Jira connector
Connect Jira to Databricks and automatically export tasks, projects, sprints, and members. Centralized productivity data for analysis — no CSVs and no scripts.
Learn moreTotal control over your Jira pipelines
Configure frequency, sync type, and partitioning by table. Data arrives in Databricks ready for ML, analytics, and ad hoc queries—with predictable cost.
Learn moreEnd-to-end observability
Stop finding out about Jira failures only when the business team complains. Every run is logged with run time, rows processed, and error context. Automatic alerts via Slack, Discord, or email as soon as something goes off track — always-fresh productivity data 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 Jira
Other sources that land in Databricks
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 Jira to their data warehouse—with full observability into every run, zero maintenance, and none of the opacity of traditional market tools.
Erathos syncs Projects, Tasks, Subtasks, Members, Sprints, Statuses, and Comments from Jira to Databricks. Custom fields, tags, and task dependencies created by the team are also exported.
You can configure the sync frequency at the table level, from every 5 minutes up to daily. Erathos uses incremental synchronization—only new or updated records are processed in each run, keeping your Jira pipeline efficient and Databricks 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 Jira to Databricks and start syncing immediately—no credit card required.