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.
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.
No credit card required.
Why do data teams choose Erathos for Jira?
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.
Total 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.
End-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.
Why Companies Move Jira Data to Databricks with Erathos
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.
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 Jira to their data warehouse—with full observability into every run, zero maintenance, and none of the opacity of traditional market tools.
What Jira data does Erathos synchronize to Databricks?
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.
How often does Erathos synchronize data from Jira to Databricks?
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.
What happens if a Jira 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 Jira connector?
Yes. Every Erathos connector includes a 14-day free trial. Connect Jira to Databricks and start syncing immediately—no credit card required.