Jira ODBC Driver

⚡ Key Benefits

• Jira Read + Write — Access and update Jira entities from ODBC-capable tools
• Multiple Auth Modes — Choose API Key, PAT, or OAuth based on Jira environment needs
• Server-Side Filtering — Generate parameterized endpoint queries for efficient API calls
• Rich Query Options — Use key/project/jql search patterns through `WITH(...)` configuration
• Centralized Deployment — Publish DSN access via Data Gateway to reduce per-machine setup

📸 Visual Overview & Setup

1. Configure DSN with Embedded Connectors 🔍 View Full Size	2. Search and Download Jira Connector 🔍 View Full Size	3. Build SQL with Query Builder 🔍 View Full Size
4. Load Data in Excel via ODBC 🔍 View Full Size	5. Use Data in Power BI 🔍 View Full Size	6. Centralize Access with Data Gateway 🔍 View Full Size

Seamless SQL Query Integration

-- Query Jira issues by project and JQL via SQL
SELECT * FROM Issues
WITH (
  SearchBy='Jql',
  Jql='status IN (Done, Closed) AND created > -5d',
  RetryMode='RetryWhenStatusCodeMatch',
  RetryStatusCodeList=429,
  RetryCountMax=5
);

🔧 Key Features

Authentication and Access Modes

• API Key authentication with Atlassian user email and token
• Personal Access Token (PAT) authentication for bearer token workflows
• OAuth app flow with scope and token generation controls

Jira Query Patterns

• Query issues by key, project, or JQL expression via `WITH(...)` parameters
• Preview generated SQL in Query Builder before using in client tools
• Push server-side filters to Jira API for more efficient retrieval

ODBC Tool Integration

• Use same DSN in SQL tools, BI platforms, ETL products, and scripts
• Consume data in Excel, Power BI, and SQL Server workloads
• Reuse query templates for repeatable reporting and automation jobs

Data Gateway Option

• Centralize DSN management on one gateway host
• Control remote access with gateway users and network rules
• Avoid per-user driver installations for shared enterprise access

💡 Common Use Cases

Typical scenarios for Jira ODBC Driver in analytics, reporting, and automation:

• Issue Dashboards: Pull Jira issue data into BI models for sprint and service analytics.
• Project Health Tracking: Query projects, statuses, and worklogs for portfolio-level reporting.
• JQL-Driven Extraction: Use JQL filters in SQL to fetch only meaningful subsets from Jira.
• ODBC Data Federation: Join Jira data with database sources inside SQL-based reporting pipelines.
• Centralized Access Patterns: Publish Jira DSNs through Data Gateway for team-wide access.
• Operational Automations: Feed Jira data into scheduled jobs for alerts and SLA monitoring.

🎯 Summary

Jira ODBC Driver helps teams query and integrate Jira data using familiar SQL across ODBC-compatible tools while retaining authentication flexibility and query control.
Use one DSN model for local workflows or centralized gateway-based access in larger environments.

Trusted by Developers & IT Teams Worldwide Built for ODBC Workloads: Consistent connection model for reporting, ETL, and app integrations. Expert Technical Support: Guidance for driver setup, authentication, and performance tuning. Proven Enterprise Adoption: Widely used for API-driven connectivity in production environments.

ODBC PowerPack Includes Jira ODBC Driver Read reviews on Capterra →