Jira + Redshift
Jira is a widely used project management and issue tracking platform developed by Atlassian. PostgreSQL, on the other hand, is a highly robust and scalable open-source relational database management system that supports a wide range of data types and advanced features.
With Erathos, Jira data arrives at Redshift ready for analytics at scale within the AWS ecosystem, combining with other sources your team already centralizes in the cluster.
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Connect your source
Authenticate your account and you're done. 100+ ready-made connectors, no code required.
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.
What Jira data does Erathos sync with PostgreSQL?
The integration automatically syncs key Jira objects:
- Projects: status, assignees, dates, and settings
- Issues and subtasks: priority, status, estimates, and assignees
- Sprints: dates, velocity, and planning data
- Members: users, roles, and workload
- Comments: history of discussions and decisions
- Custom fields: custom properties and tags created by the team
Why sync Jira with Redshift?
In Redshift, you analyze Jira data at scale within the AWS ecosystem, combining it with other data sources already centralized in your cluster.
How it works
Erathos connects to Jira via official API and syncs your data incrementally: only new or updated records are processed in each run, keeping pipelines fast and Redshift 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: execution time, rows processed, error context, and instant alerts via Slack or email if anything goes wrong.
Centralizing Jira data in Redshift has never been simpler
Erathos is a data ingestion platform built for engineering and data teams. With the Jira connector, you can automatically centralize issues, boards, and sprint metrics in Redshift — always up-to-date data, full observability into every run, and zero maintenance.
Jira data in Redshift in minutes
Ready-to-use Jira connector
Connect Jira to Redshift and automatically export data. Centralize project management information for analysis — no spreadsheets, no scripts.
Learn moreFull control over your Jira pipelines
Set the schedule, frequency, and sync type at the table level. Set the frequency and sync type per table. Incremental sync for Redshift — only new records are processed in each run, without reprocessing everything from scratch and with predictable AWS costs.
Learn moreEnd-to-end observability
No more finding out about Jira failures only after the business team complains. Every run is logged with runtime, rows processed, and error context. Automated alerts via Slack, Discord, or email the moment anything goes off track — so your data stays fresh for analysis.
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 Redshift
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 black-box behavior of traditional market tools.
Erathos syncs Jira issues, projects, sprints, members, comments, statuses, and delivery metrics to your data warehouse incrementally and with no code required.
You can configure the sync frequency from every 5 minutes up to once a day, at the table level. Erathos uses incremental sync — only new or updated records are processed in each run, keeping the Jira pipeline efficient and Redshift 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 run is logged with runtime, rows processed, 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 Redshift and start syncing right away — no credit card required.