Spark Streaming vs. Estuary

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.

Estuary, formerly known as Estuary Flow, is the dependable Right-Time Data Platform that unifies CDC, batch, streaming, and app-sync pipelines into one managed system. Instead of stitching together brittle stacks like Kafka + Debezium or juggling separate ELT, CDC, and streaming tools, you get a single platform that powers analytics, operations, and AI with the cadence and cost control you choose. Move data at the right time for the job: sub-second for operations and AI, near-real-time for applications, or scheduled batch for analytics.