Kafka Streams
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Explore more → **Kafka Streams**
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.
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.
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.
Flink
Apache Flink is a stream processing framework that provides similar functionality to Kafka Streams, offering alternatives for building real-time data pipelines.
Spark Streaming
Spark Streaming is a stream processing framework that can be used as an alternative to Kafka Streams.
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.
Apache Storm
Apache Storm is a distributed real-time computation system that can be used as a competitor to Kafka Streams.
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.
Number of organizations that mention technology
1,894
Kafka Streams
667
KSQL
295
ksqlDB
5,965
Flink
3,104
Spark Streaming
33,141
Spark
2,578
Apache Storm
1,125
Pulsar
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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.
Kafka Consumer
No summary available
Kafka Streams is built on top of the Kafka Consumer API. It is essential for reading data from Kafka topics.
KTables
KTables are a core concept within Kafka Streams, representing materialized views of data streams. They are essential for stateful stream processing.
Number of organizations that mention technology
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Which job functions commonly mention Kafka Streams?
Data Engineer
0.4% of all Data Engineer jobs mention Kafka Streams
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jobs on Sumble
Data Architect
0.2% of all Data Architect jobs mention Kafka Streams
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jobs on Sumble
Software Engineer
0.1% of all Software Engineer jobs mention Kafka Streams
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jobs on Sumble
Engineer
0.1% of all Engineer jobs mention Kafka Streams
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jobs on Sumble
Engineering & R&D
0.1% of all Engineering & R&D jobs mention Kafka Streams
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jobs on Sumble
Which organizations are mentioning Kafka Streams?
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