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Apache Kafka JDBC Driver

Easily connect live Kafka data with Java-based BI, ETL, Reporting, AI/ML & Custom Apps.

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The Kafka JDBC Driver enables users to connect with live Kafka data, directly from any applications that support JDBC connectivity. Rapidly create and deploy powerful Java applications that integrate with Apache Kafka.

JDBC architecture

Kafka JDBC Connectivity Features

  • SQL access to Apache Kafka platforms
  • Enables SQL-92 capabilities on Apache Kafka NoSQL data.
  • Flexible NoSQL flattening - automatic schema generation, flexible querying etc.
  • Connect to live Apache Kafka data, for real-time data access with the Apache Kafka JDBC Driver
  • Full support for data aggregation and complex JOINs in SQL queries
  • Secure connectivity through modern cryptography, including TLS 1.2, SHA-256, ECC, etc.
  • Seamless integration with leading BI, reporting, and ETL tools and with custom applications via the Kafka Connector.

Target Service, API

The driver connects to Apache Kafka. Distributed event streaming platform.

Schema, Data Model

Models Kafka topics as tables. Message streaming interface.

Key Objects

Topics, Messages, Partitions, and Consumer Groups. Event stream access.

Operations

Produce and consume messages. Topic management. Offset control.

Authentication

SASL/PLAIN, SASL/SCRAM, or SSL authentication. Broker connection.

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JDBC Access to Apache Kafka

Full-featured and consistent SQL access to any supported data source through JDBC

  • Certified Compatibility*

    Our drivers undergo extensive testing and are certified to be compatible with leading analytics and reporting applications like SAP Crystal Reports, Pentaho, Business Objects, Crystal Reports and many more.

  • Metadata Discovery

    Full support for JDBC DatabaseMetaData provides extensive schema discovery capabilities. Explore tables, columns, keys, and other data constructs based on user identity.

  • Developer Friendly

    Design-time support for all major Java IDEs, including Eclipse, IntelliJ, and NetBeans.

  • JDBC Remoting

    Our exclusive remoting feature allows hosting the JDBC connection on a server to enable connections from various clients on any platform (Java, .NET, C++, PHP, Python), using any standards-based technology (ODBC, JDBC, etc.). JDBC Remoting is enabled using the popular MySQL wire protocol server.

  • Replication and Caching

    Our replication and caching commands make it easy to copy data to local and cloud data stores such as Oracle, SQL Server, Google Cloud SQL, etc. The replication commands include many features that allow for intelligent incremental updates to cached data.

  • String, Date, Numeric SQL Functions

    The driver includes a library of over 50 functions that can manipulate column values into the desired result. Popular examples include Regex, JSON, and XML processing functions.

  • Collaborative Query Processing

    Our drivers enhance the data source's capabilities by additional client-side processing, when needed, to enable analytic summaries of data such as SUM, AVG, MAX, MIN, etc.

  • Easily Customizable and Configurable

    The data model exposed by our JDBC Drivers can easily be customized to add or remove tables/columns, change data types, etc. without requiring a new build. These customizations are supported at runtime using human-readable schema files that are easy to edit.

  • Secure Connectivity

    Includes standard Enterprise-class security features such as TLS/ SSL data encryption for all client-server communications.

See what you can do with Kafka JDBC Driver

ETL, Data Warehouse
Data Integration & ETL

Integrate Kafka into your systems and data warehouses through popular Java-based ETL/EAI tools. Supports both self-hosted environments and cloud service deployment.

BI, Reporting, Virtualization
BI, Reporting & Data Virtualization

Connect to Kafka from any JDBC-compatible BI, reporting, and data virtualization platform. Provides seamless integration using SQL as the standard query interface across all tools.

Custom Java Applications
Custom Java Applications

Use the Kafka JDBC Driver to rapidly deliver Java-based applications that connect with Kafka. Universal SQL-based interactivity simplifies integration and speeds time to market.

Connect to Kafka — empower every team


  • CData JDBC Drivers for Kafka will act as if it is a native connector for you ETL, BI, Data Virtualization tool.
  • Organizations can connect to the new services to capture full view of business, or migrate to modern data technology while maintaining the connection to existing sytems.
  • Speed up your AI initiative with CData. Connect your data with the AI / ML platform of your choice.

Need to integrate your internal systems with Kafka? CData JDBC Drivers let you do it easily. Java based applications can easily connect to Kafka with SQL/JDBC — any ETL, EAI (Enterprise Application Integration), ESB (Enterpriese Service Bus) can connect to Kafka.

  • Embed CData JDBC Drivers for Kafka to your product and differentiate with your connectivity
  • Standard SQL access. Stop researching on different authentication, data model and query methods.
  • Utilize your resource to build your product, CData takes care of your connectivity
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Management & Data Consumer
IT Department
ISVs & cloud service vendors

Frequently Asked Kafka JDBC Driver Questions

Learn more about Kafka JDBC drivers for data and analytics integration

Yes, Kafka can be used with Java . CData provides a JDBC type 4/5 driver for Kafka that allows Java applications to connect to Kafka using standard JDBC APIs. This driver enables you to execute SQL queries, manage connections, and process data stored in Kafka from Java, or any Java-based application that supports JDBC.

Not natively. However, CData offers a JDBC driver for Kafka that allows you to connect to Kafka data from any Java-based application that supports JDBC, just like you would access a traditional database. This can be useful for tasks like:

  • Accessing Kafka from applications: Connect to Kafka data in popular tools and applications including Informatica, Talend, Apache Spark, Apache NiFi, and many others.
  • Real-time data: You can work with live Kafka data within these applications, enabling tasks like reporting and analysis.
  • Connecting systems: Build data integrations between Kafka and other systems.

The Kafka JDBC driver is a pure Java type 4/5 driver with comprehensive ANSI SQL-92 support. This means that virtually any application that can connect to data via JDBC, can use the CData JDBC driver for real-time integration. Download a fully functional free trial of the Kafka JDBC driver today to get started.

Yes, the CData JDBC driver for Kafka provides universal JDBC data connectivity for Kafka. The Kafka JDBC driver offers a simple SQL-based layer of abstraction that simplifies real-time data access for users and applications, enabling them to communicate with Kafka using a standardized set of functions. Virtually any application on any platform can use the CData JDBC driver for real-time integration.

Connectivity to Kafka via JDBC is easy. First, download and install the Kafka JDBC driver.

Once the installation is complete, navigate to the JDBC driver documentation page. Here, you'll find a wealth of information about the installed driver. The step-by-step instructions for creating a DSN and using it to connect to Kafka via JDBC are just the beginning. The documentation also provides extensive configuration details for using the Kafka JDBC driver with all your favorite applications and development tools, ensuring you have all the support you need.

All of the CData JDBC drivers, including the Kafka JDBC driver are available for download online. To get started, download a fully functional free trial of the Kafka JDBC driver today.

To install the Kafka driver, simply download one of the Kafka JDBC driver installers available online. The installers are comprehensive setup utilities that will install all the components required to use the Kafka JDBC driver on your system.

Ready to get started? Try CData for free today