The Apache Cassandra Spark Connector allows Spark jobs (RDDs or DataFrames/Datasets) to read from and write to Cassandra tables. Compatible with Apache Cassandra (v2.1+), Spark 1.0–3.5, and Scala 2.11–2.13, it supports mapping Cassandra rows to Scala case classes, saving results back to Cassandra, and executing arbitrary CQL within Spark applications.

Features

  • Read Cassandra tables as Spark RDDs or DataFrames/Datasets
  • Write Spark objects back into Cassandra via saveToCassandra
  • Support for Scala versions 2.11, 2.12, 2.13 and Spark 1–3.x
  • Custom row-mapping via CassandraRow or user-defined classes
  • Full CQL support in Spark pipelines
  • Production-tested for Cassandra+Spark integration in analytics workloads

Project Samples

Cassandra Spark Connector Screenshot 1

Project Activity

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Categories

Data Integration

License

Apache License V2.0

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Scala

Related Categories

Scala Data Integration Tool

Registered

2025-08-04
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