Spark Streaming vs. RudderStack

Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Streaming recovers both lost work and operator state (e.g. sliding windows) out of the box, without any extra code on your part.

RudderStack’s agentic CDP enables you to collect, unify, and activate customer data from an integrated platform that wraps around your data warehouse as the system of record. Our infrastructure is battle tested with proven reliability at peak loads up to 1M events/second and 99.95% uptime. Proactive governance tools enable you to enforce data quality and compliance in pipeline, so downstream systems always get activation ready data. And our AI capabilities transform both how you work with customer data and what you can do with it.