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HDFS to Databricks Data Integration

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

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HDFS:
Apache Hadoop Distributed File System (HDFS) is a distributed file system designed to store and manage large volumes of data across multiple nodes in a Hadoop cluster. It provides high availability, fault tolerance, and scalability for storing and processing big data. HDFS is a key component of the Apache Hadoop ecosystem.

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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 HDFS and Databricks with CData Sync

CData Sync provides a straightforward way to continuously pipeline your Apache HDFS 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 HDFS data to database's and data warehouse systems to facilitate operational reporting, BI, and analytics.
  • Offload queries from HDFS to reduce load and increase performance.
  • Connect HDFS to business analytics for BI and decision support.
  • Archive Apache HDFS data for disaster recovery.

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

HDFS Data Integration Features


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Simple no-code HDFS data integration

Ditch the code and complex setups to move more data in less time. Connect HDFS 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 HDFS 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 HDFS and Databricks.

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