Kafka Drivers & Connectors
for Data Integration

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


Decorative Icon Kafka Logo


Other Technologies



BI & Analytics



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

LEARN MORE: Connectivity for BI & Analytics

Popular BI & Analytics Integrations



Amazon QuickSight: Build Interactive Dashboards from Kafka Data in Amazon QuickSight Aqua Data Studio: Connect to Kafka in Aqua Data Studio AWS Databricks: Process & Analyze Kafka Data in Databricks (AWS) Birst: Build Visualizations of Kafka in Birst BIRT: Design BIRT Reports on Kafka FineReport: Feed Kafka into FineReport Infragistics Reveal: Analyze Kafka Data in Infragistics Reval JasperServer: Create Kafka Reports on JasperReports Server Jaspersoft BI Suite: Connect to Kafka in Jaspersoft Studio JReport Designer: Integrate with Kafka in JReport Designer Klipfolio: Create Kafka-Connected Visualizations in Klipfolio KNIME: Enable the Kafka JDBC Driver in KNIME LINQPad: Working with Kafka in LINQPad Microsoft SSAS: Build an OLAP Cube in SSAS from Kafka MicroStrategy: Connect to Live Kafka Data in MicroStrategy through Connect Server MicroStrategy: Use the CData JDBC Driver for Kafka in MicroStrategy Microstrategy Desktop: Use the CData JDBC Driver for Kafka in MicroStrategy Desktop Microstrategy Web: Use the CData JDBC Driver for Kafka in MicroStrategy Web OBIEE: Kafka Reporting in OBIEE with the Kafka JDBC Driver Pentaho Report Designer: Integrate Kafka in the Pentaho Report Designer Power BI Service: Visualize Live Kafka Data in the Power BI Service Power Pivot: Access Kafka Data in Microsoft Power Pivot Power Query: Access Kafka Data in Microsoft Power Query Qlik Cloud: Create Apps from Kafka Data in Qlik Sense Cloud R: Analyze Kafka in R (JDBC) RapidMiner: Connect to Kafka in RapidMiner Redash: Build Kafka-Connected Dashboards in Redash SAP Analytics Cloud: Analyze Kafka Data in SAP Analytics Cloud SAP Business Objects: Create an SAP BusinessObjects Universe on the CData JDBC Driver for Kafka SAP Crystal Reports: Publish Reports with Kafka in Crystal Reports Sisense: Visualize Live Kafka in Sisense Spago BI: Connect to Kafka in SpagoBI Tableau Cloud: Build Kafka Visualizations in Tableau Cloud TIBCO Spotfire: Visualize Kafka in TIBCO Spotfire through ADO.NET TIBCO Spotfire: Visualize Kafka Data in TIBCO Spotfire TIBCO Spotfire Server: Operational Reporting on Kafka from Spotfire Server

ETL, Replication, & Warehousing



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

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


Popular Data Warehousing Integrations



Amazon Redshift: Automated Continuous Kafka Replication to Amazon Redshift Amazon S3: Automated Continuous Kafka Replication to Amazon S3 Apache Airflow: Bridge Kafka Connectivity with Apache Airflow Apache Camel: Integrate with Kafka using Apache Camel Apache Cassandra: Automated Continuous Kafka Replication to Apache Cassandra Apache NiFi: Bridge Kafka Connectivity with Apache NiFi Apache NiFi Batch Operations: Perform Batch Operations with Kafka Data in Apache NiFi Azure Data Lake: Automated Continuous Kafka Replication to Azure Data Lake Azure Synapse: Automated Continuous Kafka Replication to Azure Synapse CloverDX: Connect to Kafka in CloverDX (formerly CloverETL) Couchbase: Automated Continuous Kafka Replication to Couchbase CSV: Automated Continuous Kafka Replication to Local Delimited Files Databricks: Automated Continuous Kafka Replication to Databricks Google AlloyDB: Automated Continuous Kafka Replication to Google AlloyDB Google BigQuery: Automated Continuous Kafka Replication to Google BigQuery Google Cloud SQL: Automated Continuous Kafka Replication to Google Cloud SQL Google Data Fusion: Build Kafka-Connected ETL Processes in Google Data Fusion Heroku / Salesforce Connect: Replicate Kafka for Use in Salesforce Connect HULFT Integrate: Connect to Kafka in HULFT Integrate IBM DB2: Automated Continuous Kafka Replication to IBM DB2 Informatica Cloud: Integrate Kafka in Your Informatica Cloud Instance Informatica PowerCenter: Create Informatica Mappings From/To a JDBC Data Source for Kafka Jaspersoft ETL: Connect to Kafka in Jaspersoft Studio Microsoft Access: Automated Continuous Kafka Replication to Microsoft Access Microsoft Azure Tables: Automated Continuous Kafka Replication to Azure SQL Microsoft Power Automate: Build Kafka-Connected Automated Tasks with Power Automate (Desktop) MongoDB: Automated Continuous Kafka Replication to MongoDB MySQL: Automated Continuous Kafka Replication to MySQL Oracle Data Integrator: ETL Kafka in Oracle Data Integrator Oracle Database: Automated Continuous Kafka Replication to Oracle PostgreSQL: Automated Continuous Kafka Replication to PostgreSQL SAP HANA: Automated Continuous Kafka Replication to SAP HANA SingleStore: Automated Continuous Kafka Replication to SingleStore SnapLogic: Integrate Kafka with External Services using SnapLogic Snowflake: Automated Continuous Kafka Replication to Snowflake SQL Server: Automated Continuous Kafka Replication to SQL Server SQL Server Linked Server: Connect to Kafka Data as a SQL Server Linked Server SQLite: Automated Continuous Kafka Replication to SQLite Talend: Connect to Kafka and Transfer Data in Talend Vertica: Automated Continuous Kafka Replication to a Vertica Database

Workflow & Automation Tools



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

Our drivers and adapters provide straightforward access to Kafka 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 Kafka from anywhere. Our Kafka drivers offer a data-centric model for Kafka 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 Kafka Angular JS: Using AngularJS to Build Dynamic Web Pages with Kafka Apache Spark: Work with Kafka in Apache Spark Using SQL AppSheet: Create Kafka-Connected Business Apps in AppSheet ColdFusion: Query Kafka in ColdFusion Using JDBC DevExpress: DataBind Kafka to the DevExpress Data Grid EF - Code First: Access Kafka with Entity Framework 6 EF - LINQ: LINQ to Kafka EF - MVC: Build MVC Applications with Connectivity to Kafka Filemaker Pro (on Mac): Bidirectional Access to Kafka from FileMaker Pro (on Mac) Google Apps Script: Connect to Kafka Data in Google Apps Script Hibernate: Object-Relational Mapping (ORM) with Kafka Entities in Java IntelliJ: Connect to Kafka in IntelliJ JBoss: Connect to Kafka from a Connection Pool in JBoss JDBI: Create a Data Access Object for Kafka using JDBI JRuby: Connect to Kafka in JRuby Microsoft Power Apps: Integrate Live Kafka Data into Custom Business Apps Built in Power Apps NodeJS: Query Kafka Data in Node.js (via Connect Server) PHP: Access Kafka in PHP through Connect Server PowerBuilder: Connect to Kafka from PowerBuilder React: Build Dynamic React Apps with Kafka Data RunMyProcess: Connect to Kafka Data in RunMyProcess RunMyProcess DSEC: Connect to Kafka in DigitalSuite Studio through RunMyProcess DSEC SAP UI5: Integrate Real-Time Access to Kafka in SAPUI5 MVC Apps Servoy: Build Kafka-Connected Apps in Servoy Spring Boot: Access Live Kafka Data in Spring Boot Apps Tomcat: Configure the CData JDBC Driver for Kafka in a Connection Pool in Tomcat Unqork: Create Kafka-Connected Applications in Unqork WebLogic: Connect to Kafka from a Connection Pool in WebLogic

Data Virtualization



Our drivers provide a virtual database abstraction on top of Kafka data and support popular data virtualization features like query federation through advanced capabilities for query delegation / predicate pushdown.

Learn more about how our tools can be used in popular data virtualization scenarios below:

Popular Data Virtualization Tool Integrations





When Only the Best Kafka Drivers Will Do

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



Frequently Asked Kafka Driver Questions

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


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

Working with a Kafka Driver is different than connecting with Kafka through other means. Kafka 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 Kafka integration code moving forward.

By comparison, our Kafka Drivers offer codeless access to live Kafka data for both technical and non-technical users alike. Any user can install our drivers and begin working with live Kafka 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 Kafka data. We manage all of the complexities of Kafka integration within each driver and deploy updated drivers as systems evolve so your applications continue to run seamlessly.

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

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

Using the CData Kafka drivers and connectors, Kafka 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 Kafka data connectivity. Explore some of the more popular Kafka data integrations online.

Kafka Analytics 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 Kafka 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.

Kafka 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 Kafka data any database or data warehouse, and maintain parity between systems with automated incremental Kafka replication. In addition, our Kafka drivers and connectors can be easily embedded into a wide range of data integration tools to augment existing solutions.