DataStax Spark Cassandra Connector
A connector that enables Apache Spark to read from and write to Apache Cassandra databases for distributed data processing.
What is DataStax Spark Cassandra Connector?
The Apache Cassandra Spark Connector is a library that enables Apache Spark to read data from and write data to Apache Cassandra databases. It solves the problem of integrating distributed data processing with scalable NoSQL storage by exposing Cassandra tables as Spark RDDs and DataFrames, allowing seamless data exchange between the two systems.
Data engineers and developers building analytics pipelines that require processing large-scale data stored in Cassandra using Spark's distributed computing capabilities.
Developers choose this connector because it provides native integration between Spark and Cassandra with optimized data type conversions, server-side filtering, and efficient join operations, enabling high-performance analytics on Cassandra data without complex ETL processes.
Overview
Apache Spark to Apache Cassandra connector
Use Cases
Best For
- Processing large-scale time-series data stored in Cassandra with Spark
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