KStreams Insights

What is KStreams?

Kafka Streams is a client library for building real-time applications and microservices, where the input and/or output data are stored in Apache Kafka clusters. It combines the simplicity of writing and deploying standard Java and Scala applications with the benefits of Kafka's server-side cluster technology. Kafka Streams is commonly used for stream processing tasks such as data enrichment, aggregations, and transformations.

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What other technologies are related to KStreams?

KStreams Competitor Technologies

Flink

Apache Flink is a stream processing framework that competes with Kafka Streams for real-time data processing use cases.

mentioned alongside KStreams in 0% (112) of relevant job posts

Apache Beam

Apache Beam is a unified programming model that can be used for both batch and stream processing and supports multiple execution engines, making it a competitor.

mentioned alongside KStreams in 1% (54) of relevant job posts

Spark Streaming

Spark Streaming is a stream processing framework that competes with Kafka Streams, though Spark is typically microbatch.

mentioned alongside KStreams in 0% (53) of relevant job posts

Spark

Spark can operate in batch or micro-batch processing modes, making it a competitor to Kafka Streams for certain use cases.

mentioned alongside KStreams in 0% (144) of relevant job posts