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

Project Activity

See All Activity >

Categories

Data Integration

License

Apache License V2.0

Follow Cassandra Spark Connector

Cassandra Spark Connector Web Site

Other Useful Business Software
Agentic AI SRE built for Engineering and DevOps teams. Icon
Agentic AI SRE built for Engineering and DevOps teams.

No More Time Lost to Troubleshooting

NeuBird AI's agentic AI SRE delivers autonomous incident resolution, helping team cut MTTR up to 90% and reclaim engineering hours lost to troubleshooting.
Learn More
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Cassandra Spark Connector!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Scala

Related Categories

Scala Data Integration Tool

Registered

2025-08-04