Discover how a bimodal integration strategy can address the major data management challenges facing your organization today.
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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.
Connect to Apache Kafka Data from Anywhere!
Easily access live Apache Kafka data from BI, Analytics, Reporting, ETL, & Custom Apps.
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
ETL, Replication, & Warehousing
From drivers and adapters that extend your favorite ETL tools with Kafka connectivity to ETL/ELT tools for Kafka data integration — 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
Data Management
By supporting popular database protocols like ODBC, JDBC, and ADO.NET, as well as wire-protocol interfaces for SQL Server and MySQL, it is easy to connect to and manage Kafka data from a wide range of database management applications.
Popular Data Management Tool Integrations
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:
- Pragmatic API Integration: from SDKs to Data Drivers
- Data APIs: Gateway to Data Driven Operation & Digital Transformation
Popular Developer Integrations
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
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Frequently Asked Kafka Driver Questions
Learn more about Kafka drivers & connectors for data and analytics integration
How does the Kafka Driver work?
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.
How is using the Kafka Driver different than connecting to the Kafka API?
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.
How is a Kafka Driver different than a Kafka connector?
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.
Is Kafka SQL based?
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.
What data can I access with the Kafka driver?
What does Kafka integrate with?
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.
How can I enable Kafka Analytics?
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.
How can I support Kafka Data Integration?
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.
Industry-Leading Support
Support is not just a part of our business, support is our business. Whenever you need help, please consult the resources below:
Using the Kafka drivers
- Connect to Kafka as an External Source in Dremio
- Analyze Kafka in R
- How to connect to Kafka from Google Apps Script
- Kafka Reporting in OBIEE with the Kafka JDBC Driver
- Build Kafka Visualizations in Tableau Cloud
- How to integrate Kafka with Apache Airflow
- How to import Kafka into Apache Solr
- Replicate Kafka to Multiple Databases
Related Blog Articles
- How to Use Apache Kafka Integrations in Your Environment
- Apache Kafka: 9 Real-World Use Cases & Examples
- Stream Big Data with Apache Kafka Integration
- Understand Apache Spark ETL & Integrate it with CData’s Solutions
- Top 10 Apache Cassandra Use Cases: When It’s the Right Choice (and When It’s Not)
- Announcing CData Virtuality 4.8: Resource Governor, Time-Zone Based Job Management, and More Connectors
- Hadoop vs Spark: Which is Best?
- HBase vs. Cassandra: NoSQL Databases Compared
- Zero ETL: Is It A Better Approach?
- Database API: What Is It, How Does It Work & 6 Best APIs
Your support is amazing ...
"You guys are awesome... really... support is amazing... products are fantastic!"
- Paul Deraval