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Kafka to Databricks Data Integration

The leading hybrid-cloud solution for Databricks integration. Automated continuous ETL/ELT data replication from Kafka to Databricks.

Whether you're managing operational reporting, connecting data for analytics, or ensuring disaster recovery, CData Sync's no-code approach to data integration simplifies the process of putting Kafka data to work.

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Kafka:
Apache Kafka is an open-source distributed event streaming platform that is designed to handle high volumes of real-time data. It allows for the seamless integration of data streams from various sources and enables real-time processing and analysis. Kafka is highly scalable, fault-tolerant, and offers low-latency data processing capabilities.

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Databricks:
Databricks is a unified data analytics platform that allows organizations to easily process, analyze, and visualize large amounts of data. It combines data engineering, data science, and machine learning capabilities in a single platform, making it easier for teams to collaborate and derive insights from their data.

Integrate Kafka and Databricks with CData Sync

CData Sync provides a straightforward way to continuously pipeline your Apache Kafka data to any database, data lake, or data warehouse, making it easily available to analytics, reporting, AI, and machine learning.

  • Synchronize data with a wide range of traditional and emerging databases including Databricks.
  • Replicate Kafka data to database's and data warehouse systems to facilitate operational reporting, BI, and analytics.
  • Offload queries from Kafka to reduce load and increase performance.
  • Connect Kafka to business analytics for BI and decision support.
  • Archive Apache Kafka data for disaster recovery.

Integrate Kafka with Databricks
Screenshot showing connections to services selected as destination in CData Sync

Kafka Data Integration Features


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Simple no-code Kafka data integration

Ditch the code and complex setups to move more data in less time. Connect Kafka to any destination with drag-and-drop ease.

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Hassle-free data pipelines in minutes

Incremental updates and automatic schema replication eliminate the headaches of Kafka data integration, ensuring Databricks always has the latest data.

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Don't pay for every row

Replicate all the data that matters with predictable, transparent pricing. Unlimited replication between Kafka and Databricks.

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