# Jira + Amazon S3

> Store data as Parquet on S3 with Iceberg using Erathos. Sync Jira data with Erathos, an incremental, no-code pipeline with end-to-end observability.

Source: https://www.erathos.com/en/pipelines/jira-amazon-s3
Em português: https://www.erathos.com/pipelines/jira-amazon-s3

Jira is a widely used platform for project management and issue tracking developed by Atlassian.

With Erathos, you can integrate Jira data into Amazon S3 in just a few minutes. Our platform handles the entire data movement process to your data lake and lets you combine this data with other sources. That way, your time goes where it truly creates value — extracting insights and making data-driven decisions.

### What Jira data does Erathos sync with Amazon S3?

The integration automatically syncs the main Jira objects:

- **Projects** — status, assignees, dates, and settings
- **Tasks and subtasks** — priority, status, estimates, and assignees
- **Sprints and cycles** — 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 Amazon S3?

In Amazon S3 with Iceberg, your data is stored as Parquet files with support for time travel and schema evolution — ready to be queried with Athena, Spark, Trino, or any query engine in your stack. Ideal for low-cost archival storage and ML feature stores.

### How it works

Erathos connects to Jira through the official API and syncs data incrementally — only new or updated records are processed in each run. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the destination in Amazon S3. Syncing uses automatic partitioning and Parquet file optimization. You choose the sync frequency, the objects to sync, and the destination bucket. Every run is fully observable: execution time, processed rows, context-rich errors, and alerts via Slack or email.

## Jira data in Amazon S3 in minutes

### Ready-to-use Jira connector

Connect Jira to Amazon S3 and automatically export data. Centralize project management data for analysis — no spreadsheets, no scripts.

### Full control over your Jira pipelines

Configure the schedule, frequency, and sync type at the table level. Configure partitioning, file format, and write frequency at the table level. The Iceberg format ensures ACID compliance and schema evolution — without full bucket rewrites.

### End-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.

## Centralizing Jira data in Amazon S3 has never been easier

Erathos is a data ingestion platform built for engineering and data teams. With the Jira connector, you automatically centralize issues, boards, and sprint metrics in Amazon S3 — always up-to-date data, full visibility into every run, and zero maintenance.

## FAQ

### What is Erathos, and how can it help my business?

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.

### What Jira data does Erathos sync to Amazon S3?

Erathos syncs Jira issues, projects, sprints, members, comments, statuses, and delivery metrics to your data warehouse incrementally and with no code required.

### How often does Erathos sync data from Jira to Amazon S3?

You can configure sync frequency from every 5 minutes up to daily, at the table level. Erathos uses incremental sync—only new or updated records are processed on each run, keeping the Jira pipeline efficient and Amazon S3 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 run is logged with runtime, rows processed, 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 Amazon S3 and start syncing immediately — no credit card required.