What are the differences between Kafka Streams API and Kafka Connect?
Kafka Streams API is a client library for building applications and microservices that process data in real-time, while Kafka Connect is a tool for integrating Kafka with other systems, allowing for data import and export.
Can you give me examples of use cases for each?
Sure! Kafka Streams is great for real-time analytics and transformations, like filtering or aggregating data. Kafka Connect is ideal for batch data ingestion from databases or exporting data to data lakes.
Which one should I use for my project?
It depends on your needs. If you need to process data in real-time, go with Kafka Streams. If you need to connect to external systems, Kafka Connect is the way to go.
Are there any performance considerations I should be aware of?
Yes, Kafka Streams can be resource-intensive due to real-time processing, while Kafka Connect's performance depends on the connectors used and the data volume.
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