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Kafka Streams vs Confluent: What are the differences?
Kafka Streams: A client library for building applications and microservices. It is a client library for building 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 on the client side with the benefits of Kafka's server-side cluster technology; Confluent: We make a stream data platform to help companies harness their high volume real-time data streams. It is a data streaming platform based on Apache Kafka: a full-scale streaming platform, capable of not only publish-and-subscribe, but also the storage and processing of data within the stream.
Kafka Streams and Confluent can be categorized as "Stream Processing" tools.
Pros of Confluent
- Free for casual use4
- No hypercloud lock-in3
- Dashboard for kafka insight3
- Easily scalable2
- Zero devops2
Pros of Kafka Streams
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Cons of Confluent
- Proprietary1
Cons of Kafka Streams
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What is Confluent?
What is Kafka Streams?
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What companies use Confluent?
What companies use Kafka Streams?
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What tools integrate with Confluent?
What tools integrate with Kafka Streams?
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