Kafka Streams Insights

What is Kafka Streams?

Kafka Streams is a client library for building stream processing applications and microservices, where the input and output data are stored in 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. It enables you to build highly scalable, fault-tolerant, distributed applications that process data in real-time.

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What other technologies are related to Kafka Streams?

Kafka Streams Competitor Technologies

KSQL

KSQL (now ksqlDB) is a SQL streaming engine that can be used as an alternative to Kafka Streams for some use cases.

mentioned alongside Kafka Streams in 31% (452) of relevant job posts

ksqlDB

ksqlDB is a stream processing engine built on Kafka. It provides a SQL-like interface for querying and transforming Kafka data. This makes it a competitor because it solves similar problems as Kafka Streams but with a different API and execution model.

mentioned alongside Kafka Streams in 37% (244) of relevant job posts

Flink

Apache Flink is a stream processing framework that provides similar functionality to Kafka Streams, offering alternatives for building real-time data pipelines.

mentioned alongside Kafka Streams in 4% (1.3k) of relevant job posts

Spark Streaming

Spark Streaming is a stream processing framework that can be used as an alternative to Kafka Streams.

mentioned alongside Kafka Streams in 6% (694) of relevant job posts

Spark

Apache Spark, particularly Spark Streaming and Structured Streaming, offers alternative frameworks for stream processing, competing with Kafka Streams in building real-time data pipelines.

mentioned alongside Kafka Streams in 1% (2k) of relevant job posts

Apache Storm

Apache Storm is a distributed real-time computation system that can be used as a competitor to Kafka Streams.

mentioned alongside Kafka Streams in 3% (322) of relevant job posts

Pulsar

Apache Pulsar is a distributed messaging and streaming platform, it is an alternative to Kafka and as such is a competitor to Kafka Streams.

mentioned alongside Kafka Streams in 3% (132) of relevant job posts

Kafka Streams Complementary Technologies

Schema Registry

Schema Registry manages schemas for Kafka topics, ensuring data consistency and enabling evolution. It is highly complementary as Kafka Streams benefits from having well-defined schemas.

mentioned alongside Kafka Streams in 24% (273) of relevant job posts

Kafka Consumer

Kafka Streams is built on top of the Kafka Consumer API. It is essential for reading data from Kafka topics.

mentioned alongside Kafka Streams in 78% (58) of relevant job posts

KTables

KTables are a core concept within Kafka Streams, representing materialized views of data streams. They are essential for stateful stream processing.

mentioned alongside Kafka Streams in 74% (51) of relevant job posts