KStreams
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Explore more → **KStreams**
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.
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.
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.
Spark Streaming
Spark Streaming is a stream processing framework that competes with Kafka Streams, though Spark is typically microbatch.
Spark
Spark can operate in batch or micro-batch processing modes, making it a competitor to Kafka Streams for certain use cases.
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KStreams Complementary Technologies
KTables
KTables are a core abstraction within Kafka Streams, representing materialized views of data.
KSQL
KSQL (now ksqlDB) is a stream processing SQL engine built on top of Kafka Streams, simplifying stream processing tasks.
Schema Registry
Schema Registry manages schemas for Kafka data, ensuring data consistency and compatibility in Kafka Streams applications.
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Which job functions commonly mention KStreams?
DataOps Engineer
0.1% of all DataOps Engineer jobs mention KStreams
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jobs on Sumble
Data Engineer
88 Data Engineer jobs mention KStreams
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jobs on Sumble
Platform Engineer
11 Platform Engineer jobs mention KStreams
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jobs on Sumble
Software Engineer
319 Software Engineer jobs mention KStreams
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jobs on Sumble
Engineer
336 Engineer jobs mention KStreams
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jobs on Sumble
Which organizations are mentioning KStreams?
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