
Move your data from Jira with your free account
Capture data from Jira and deliver it to your destinations using Estuary's pre-built connectors. Build pipelines for real-time, incremental, or batch data movement based on connector capabilities.
- <100ms to batch
- 200+ connectors
- Managed data pipelines



Jira connector details
The Jira source connector captures data from Jira Platform, Jira Software, and Jira Service Management REST APIs into Estuary collections. It can replicate Jira issues, comments, changelogs, projects, boards, sprints, users, workflows, and other Jira resources so product, engineering, support, and analytics teams can centralize Jira data for reporting and operational analysis.
- Capture Jira data from Jira Platform, Jira Software, and Jira Service Management APIs into Estuary collections.
- Replicate key Jira resources such as issues, issue comments, changelogs, projects, boards, sprints, users, workflows, statuses, and service desks.
- Map each selected Jira resource to a separate Estuary collection through its own binding.
- Connect using your Jira domain, account email, and Jira API token.
- Set a UTC start date to control how far back Estuary should replicate Jira data; if left blank, the connector defaults to 30 days before the present.
- Optionally limit issue replication to specific Jira project IDs, or leave the project filter blank to replicate issues from all projects.
How to connect Jira to your destination in 3 easy steps
- 1
Connect Jira as your data source
Securely connect Jira and choose the objects, tables, or collections you need to sync.
- 2
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
- 3
Deliver to your destination
Continuously or periodically deliver your data to the destination you choose, based on the capabilities and configuration of your pipeline.
Trusted by data teams worldwide
All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.
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HIGH THROUGHPUT
Distributed, event-driven architecture scales for demanding data workloads.
DURABLE COLLECTIONS
Store data as it moves so you can transform, replay, and deliver it downstream.
FLEXIBLE LATENCY
From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.
From <100ms to batch
Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Capture data from Jira using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.
- Connect Jira to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
- Capture once and reuse Jira data across transformations and multiple downstream destinations without rebuilding source extraction.
See where you can send Jira data:
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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | Kafka | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Latency | <100ms to scheduled | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale | ||||
| Maintenance Effort | Low | Medium | High | High |
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