Jira Drivers & Connectors
for Data Integration

Connect to Jira issue tracking data from reporting tools, databases, and custom applications through standards-based drivers. Easily integrate Jira data with BI, Reporting, Analytics, ETL Tools, and Custom Solutions.

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Other Technologies

BI & Analytics

Our drivers offer the fastest and easiest way to connect real-time Jira data with BI, analytics, reporting and data visualization technologies. They provide unmatched query performance, comprehensive access to Jira data and metadata, and seamlessly integrate with your favorite analytics tools.

LEARN MORE: Connectivity for BI & Analytics

Popular BI & Analytics Integrations

Alteryx Designer: Prepare, Blend, and Analyze Jira in Alteryx Designer (ODBC) Alteryx Designer: Work with Live Jira Data in Alteryx Designer (Connect Cloud) Amazon QuickSight: Build Interactive Dashboards from Jira Data in Amazon QuickSight Amazon SageMaker: Integrate Live Jira data into Amazon SageMaker Canvas Aqua Data Studio: Connect to Jira in Aqua Data Studio AWS Databricks: Process & Analyze Jira Data in Databricks (AWS) Azure Analysis Services: Model Jira Data Using Azure Analysis Services Birst: Build Visualizations of Jira in Birst BIRT: Design BIRT Reports on Jira Clear Analytics: Build Charts with Jira in Clear Analytics Cognos Analytics (On-Prem): Analyze Jira Data in Cognos Analytics DBxtra: Build Dashboards with Jira in DBxtra Domo: Create Datasets from Jira in Domo Workbench Dundas BI: Build Dashboards with Jira in Dundas BI Excel (on Mac OS): Work with Jira Data in MS Excel on Mac OS X FineReport: Feed Jira into FineReport Google Sheets: Access Live Jira Data in Google Sheets IBM Cognos BI: Create Data Visualizations in Cognos BI with Jira Infragistics Reveal: Analyze Jira Data in Infragistics Reval JasperServer: Create Jira Reports on JasperReports Server Jaspersoft BI Suite: Connect to Jira in Jaspersoft Studio JReport Designer: Integrate with Jira in JReport Designer Klipfolio: Create Jira-Connected Visualizations in Klipfolio KNIME: Enable the Jira JDBC Driver in KNIME LINQPad: Working with Jira in LINQPad Looker: Analyze Jira Data in Looker Looker Studio: Create Reports from Jira Data in Looker Studio Metabase: Create Interactive Jira-Connected Metabase Dashboards Microsoft Excel: Access Live Jira Data in Excel Desktop Microsoft Excel for the Web: Access Live Jira Data in Excel for the Web Microsoft SSAS: Build an OLAP Cube in SSAS from Jira MicroStrategy: Connect to Live Jira Data in MicroStrategy through Connect Cloud MicroStrategy: Use the CData JDBC Driver for Jira in MicroStrategy Microstrategy Desktop: Use the CData JDBC Driver for Jira in MicroStrategy Desktop Microstrategy Web: Use the CData JDBC Driver for Jira in MicroStrategy Web Mode Analytics: Create Jira-Connected Visualizations in Mode OBIEE: Jira Reporting in OBIEE with the Jira JDBC Driver pandas: Use pandas to Visualize Jira in Python Pentaho Report Designer: Integrate Jira in the Pentaho Report Designer Power BI Desktop: Author Power BI Reports on Real-Time Jira Power BI Service: Visualize Live Jira Data in the Power BI Service Power Pivot: Access Jira Data in Microsoft Power Pivot Power Query: Access Jira Data in Microsoft Power Query Qlik Cloud: Create Apps from Jira Data in Qlik Sense Cloud QlikView: Connect to and Query Jira in QlikView over ODBC R: Analyze Jira in R (JDBC) R: Analyze Jira in R (ODBC) RapidMiner: Connect to Jira in RapidMiner Redash: Build Jira-Connected Dashboards in Redash SAP Analytics Cloud: Analyze Jira Data in SAP Analytics Cloud SAP Business Objects: Create an SAP BusinessObjects Universe on the CData JDBC Driver for Jira SAP Crystal Reports: Publish Reports with Jira in Crystal Reports SAS: Use the CData ODBC Driver for Jira in SAS for Real-Time Reporting and Analytics SAS JMP: Use the CData ODBC Driver for Jira in SAS JMP SAS Viya: Analyze Live Jira Data in SAS Viya Sisense: Visualize Live Jira in Sisense Spago BI: Connect to Jira in SpagoBI Tableau: Visualize Jira in Tableau Desktop Tableau Cloud: Build Jira Visualizations in Tableau Cloud Tableau Server: Publish Jira-Connected Dashboards in Tableau Server TIBCO Spotfire: Visualize Jira in TIBCO Spotfire through ADO.NET TIBCO Spotfire: Visualize Jira Data in TIBCO Spotfire TIBCO Spotfire Server: Operational Reporting on Jira from Spotfire Server Zoho Analytics: Create Jira-Connected Dashboards in Zoho Analytics

ETL, Replication, & Warehousing

From drivers and adapters that extend your favorite ETL tools with Jira connectivity to ETL/ELT tools for Jira data integration — our Jira integration solutions provide robust, reliable, and secure data movement.

Connect your RDBMS or data warehouse with Jira to facilitate operational reporting, offload queries and increase performance, support data governance initiatives, archive data for disaster recovery, and more.

Popular Data Warehousing Integrations

Airbyte: Connect to Jira Data in Airbyte ELT Pipelines Amazon Redshift: Automated Continuous Jira Replication to Amazon Redshift Amazon S3: Automated Continuous Jira Replication to Amazon S3 Apache Airflow: Bridge Jira Connectivity with Apache Airflow Apache Camel: Integrate with Jira using Apache Camel Apache Cassandra: Automated Continuous Jira Replication to Apache Cassandra Apache Kafka: Automated Continuous Jira Replication to Apache Kafka Apache NiFi: Bridge Jira Connectivity with Apache NiFi AWS Glue: Build ETL Jobs with Jira Data in AWS Glue Jobs Azure Data Factory: Import Jira Data Using Azure Data Factory Azure Data Lake: Automated Continuous Jira Replication to Azure Data Lake Azure Synapse: Automated Continuous Jira Replication to Azure Synapse BIML: Use Biml to Build SSIS Tasks to Replicate Jira to SQL Server CloverDX: Connect to Jira in CloverDX (formerly CloverETL) Couchbase: Automated Continuous Jira Replication to Couchbase CSV: Automated Continuous Jira Replication to Local Delimited Files Databricks: Automated Continuous Jira Replication to Databricks FoxPro: Work with Jira in FoxPro Google AlloyDB: Automated Continuous Jira Replication to Google AlloyDB Google BigQuery: Automated Continuous Jira Replication to Google BigQuery Google Cloud SQL: Automated Continuous Jira Replication to Google Cloud SQL Google Data Fusion: Build Jira-Connected ETL Processes in Google Data Fusion Heroku / Salesforce Connect: Replicate Jira for Use in Salesforce Connect HULFT Integrate: Connect to Jira in HULFT Integrate IBM DB2: Automated Continuous Jira Replication to IBM DB2 Informatica Cloud: Integrate Jira in Your Informatica Cloud Instance Informatica PowerCenter: Create Informatica Mappings From/To a JDBC Data Source for Jira Jaspersoft ETL: Connect to Jira in Jaspersoft Studio Microsoft Access: Automated Continuous Jira Replication to Microsoft Access Microsoft Azure Tables: Automated Continuous Jira Replication to Azure SQL Microsoft Power Automate: Build Jira-Connected Automated Tasks with Power Automate (Desktop) MongoDB: Automated Continuous Jira Replication to MongoDB MySQL: Automated Continuous Jira Replication to MySQL Oracle Data Integrator: ETL Jira in Oracle Data Integrator Oracle Database: Automated Continuous Jira Replication to Oracle petl: Extract, Transform, and Load Jira in Python PostgreSQL: Automated Continuous Jira Replication to PostgreSQL Replicate to MySQL: Replicate Jira to MySQL with PowerShell SAP HANA: Automated Continuous Jira Replication to SAP HANA SingleStore: Automated Continuous Jira Replication to SingleStore SnapLogic: Integrate Jira with External Services using SnapLogic Snowflake: Automated Continuous Jira Replication to Snowflake SQL Server: Automated Continuous Jira Replication to SQL Server SQL Server Linked Server: Connect to Jira Data as a SQL Server Linked Server SQLite: Automated Continuous Jira Replication to SQLite Talend: Connect to Jira and Transfer Data in Talend UiPath Studio: Create an RPA Flow that Connects to Jira in UiPath Studio Vertica: Automated Continuous Jira Replication to a Vertica Database

Workflow & Automation Tools

Connect to Jira from popular data migration, ESB, iPaaS, and BPM tools.

Our drivers and adapters provide straightforward access to Jira data from popular applications like BizTalk, MuleSoft, SQL SSIS, Microsoft Flow, Power Apps, Talend, and many more.

Popular Workflow & Automation Tool Integrations

Developer Tools & Technologies

The easiest way to integrate with Jira from anywhere. Our Jira drivers offer a data-centric model for Jira that dramatically simplifies integration — allowing developers to build higher quality applications, faster than ever before. Learn more about the benefits for developers:

Popular Developer Integrations

.NET Charts: DataBind Charts to Jira .NET QueryBuilder: Rapidly Develop Jira-Driven Apps with Active Query Builder Angular JS: Using AngularJS to Build Dynamic Web Pages with Jira Apache Spark: Work with Jira in Apache Spark Using SQL AppSheet: Create Jira-Connected Business Apps in AppSheet Bubble.io: Build Jira-Connected Apps in Bubble C++Builder: DataBind Controls to Jira Data in C++Builder Choreo: Build Custom Apps on Jira Data in Choreo ColdFusion: Query Jira in ColdFusion Using JDBC ColdFusion: Query Jira in ColdFusion Using ODBC Dash: Use Dash & Python to Build Web Apps on Jira Delphi: DataBind Controls to Jira Data in Delphi DevExpress: DataBind Jira to the DevExpress Data Grid EF - Code First: Access Jira with Entity Framework 6 EF - LINQ: LINQ to Jira EF - MVC: Build MVC Applications with Connectivity to Jira Filemaker Pro: Bidirectional Access to Jira from FileMaker Pro Filemaker Pro (on Mac): Bidirectional Access to Jira from FileMaker Pro (on Mac) Go: Write a Simple Go Application to work with Jira on Linux Google Apps Script: Connect to Jira Data in Google Apps Script Hibernate: Object-Relational Mapping (ORM) with Jira Entities in Java IntelliJ: Connect to Jira in IntelliJ JBoss: Connect to Jira from a Connection Pool in JBoss JDBI: Create a Data Access Object for Jira using JDBI JRuby: Connect to Jira in JRuby Mendix: Build Jira-Connected Apps in Mendix Microsoft Power Apps: Integrate Live Jira Data into Custom Business Apps Built in Power Apps NodeJS: Query Jira Data in Node.js (via Connect Cloud) NodeJS: Query Jira through ODBC in Node.js OutSystems: Create Jira-Connected Enterprise Applications in OutSystems PHP: Access Jira in PHP through Connect Server PHP: Natively Connect to Jira in PHP PowerBuilder: Connect to Jira from PowerBuilder PowerShell: Pipe Jira to CSV in PowerShell PyCharm: Using the CData ODBC Driver for Jira in PyCharm Python: Connect to Jira in Python on Linux/UNIX React: Build Dynamic React Apps with Jira Data Ruby: Connect to Jira in Ruby RunMyProcess: Connect to Jira Data in RunMyProcess RunMyProcess DSEC: Connect to Jira in DigitalSuite Studio through RunMyProcess DSEC SAP UI5: Integrate Real-Time Access to Jira in SAPUI5 MVC Apps Servoy: Build Jira-Connected Apps in Servoy Spring Boot: Access Live Jira Data in Spring Boot Apps SQLAlchemy: Use SQLAlchemy ORMs to Access Jira in Python Tomcat: Configure the CData JDBC Driver for Jira in a Connection Pool in Tomcat Unqork: Create Jira-Connected Applications in Unqork VCL App (RAD Studio): Build a Simple VCL Application for Jira WebLogic: Connect to Jira from a Connection Pool in WebLogic

When Only the Best Jira Drivers Will Do

See what customers have to say about our products and support.

Frequently Asked Jira Driver Questions

Learn more about Jira drivers & connectors for data and analytics integration

The Jira driver acts like a bridge that facilitates communication between various applications and Jira, allowing the application to read data as if it were a relational database. The Jira driver abstracts the complexities of Jira APIs, authentication methods, and data types, making it simple for any application to connect to Jira data in real-time via standard SQL queries.

Working with a Jira Driver is different than connecting with Jira through other means. Jira API integrations require technical experience from a software developer or IT resources. Additionally, due to the constant evolution of APIs and services, once you build your integration you have to constantly maintain Jira integration code moving forward.

By comparison, our Jira Drivers offer codeless access to live Jira data for both technical and non-technical users alike. Any user can install our drivers and begin working with live Jira data from any client application. Because our drivers conform to standard data interfaces like ODBC, JDBC, ADO.NET etc. they offer a consistent, maintenance-free interface to Jira data. We manage all of the complexities of Jira integration within each driver and deploy updated drivers as systems evolve so your applications continue to run seamlessly.

If you need truly zero-maintenance integration, check out connectivity to Jira via CData Connect Cloud. With Connect Cloud you can configure all of your data connectivity in one place and connect to Jira from any of the available Cloud Drivers and Client Applications. Connectivity to Jira is managed in the cloud, and you never have to worry about installing new drivers when Jira is updated.

Many organizations draw attention to their library of connectors. After all, data connectivity is a core capability needed for applications to maximize their business value. However, it is essential to understand exactly what you are getting when evaluating connectivity. Some vendors are happy to offer connectors that implement basic proof-of-concept level connectivity. These connectors may highlight the possibilities of working with Jira, but often only provide a fraction of capability. Finding real value from these connectors usually requires additional IT or development resources.

Unlike these POC-quality connectors, every CData Jira driver offers full-featured Jira data connectivity. The CData Jira drivers support extensive Jira integration, providing access to all of the Jira data and meta-data needed by enterprise integration or analytics projects. Each driver contains a powerful embedded SQL engine that offers applications easy and high-performance access to all Jira data. In addition, our drivers offer robust authentication and security capabilities, allowing users to connect securely across a wide range of enterprise configurations. Compare drivers and connectors to read more about some of the benefits of CData's driver connectivity.

With our drivers and connectors, every data source is essentially SQL-based. The CData Jira driver contains a full SQL-92 compliant engine that translates standard SQL queries into Jira API calls dynamically. Queries are parsed and optimized for each data source, pushing down as much of the request to Jira as possible. Any logic that can not be pushed to Jira is handled transparently client-side by the driver/connector engine. Ultimately, this means that Jira looks and acts exactly like a database to any client application or tool. Users can integrate live Jira connectivity with ANY software solution that can talk to a standard database.

The Jira drivers and connectors offer comprehensive access to Jira data. Our Jira driver exposes static and dynamic data and metadata, providing universal access to Jira data for any enterprise analytics or data mangement use. To explore the Jira driver data model, please review the edition-specific Jira driver documentation.

Using the CData Jira drivers and connectors, Jira can be easily integrated with almost any application. Any software or technology that can integrate with a database or connect with standards-based drivers like ODBC, JDBC, ADO.NET, etc., can use our drivers for live Jira data connectivity. Explore some of the more popular Jira data integrations online.

Additionally, since Jira supported by CData Connect Cloud, we enable all kinds of new Jira cloud integrations.

Jira Analytics and Jira Cloud BI integration is universally supported for BI and data science. In addition, CData provides native client connectors for popular analytics applications like Power BI, Tableau, and Excel that simplify Jira data integration. Additionally, native Python connectors are widely available for data science and data engineering projects that integrate seamlessly with popular tools like Pandas, SQLAlchemy, Dash, and Petl.

Jira data integration is typically enabled with CData Sync, a robust any-to-any data pipeline solution that is easy to set up, runs everywhere, and offers comprehensive enterprise-class features for data engineering. CData Sync makes it easy to replicate Jira data any database or data warehouse, and maintain parity between systems with automated incremental Jira replication. In addition, our Jira drivers and connectors can be easily embedded into a wide range of data integration tools to augment existing solutions.

Absolutely. The best way to integrate Jira with Excel is by using the CData Connect Cloud Excel Add-In. The Jira Excel Add-In provides easy Jira integration directly from Microsoft Excel Desktop, Mac, or Web (Excel 365). Simply configure your connection to Jira from the easy-to-use cloud interface, and access Jira just like you would another native Excel data source.