Jira → Azure Synapse
AI-first ETL from Jira into Azure Synapse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Jira into Azure Synapse
Datrise syncs Jira's issues, sprints, projects, changelogs, and worklog events into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.
Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.
Ideal for Azure analytics estates feeding Power BI.
Endpoints
Jira: Issue tracking for software and operations teams.
Azure Synapse: Microsoft analytics workspace with SQL pools.
How Jira entities map to Azure Synapse
| Jira entity | Azure Synapse object | Notes |
|---|---|---|
| issues | jira_issues | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| sprints | jira_sprints | id PK · linked to jira_issues |
| projects | jira_projects | id PK · linked to jira_issues |
| changelogs | jira_changelogs | datetime2 events |
FAQ
How does Datrise handle Jira's custom fields in Azure Synapse?
Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.
How does the Jira to Azure Synapse sync stay up to date?
It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.
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Early access
Connect Jira to Azure Synapse the easy way
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