What are the main differences between Kafka and Kinesis?
Kafka is an open-source distributed event streaming platform, while Kinesis is a fully managed service by AWS for real-time data processing.
Which one is more scalable?
Kafka generally offers better scalability due to its distributed architecture, allowing for more brokers and partitions.
What about pricing? How do they compare?
Kafka is free to use but requires infrastructure management, while Kinesis has a pay-as-you-go pricing model based on data throughput.
Can you give me examples of use cases for each?
Sure! Kafka is often used for log aggregation and stream processing, while Kinesis is great for real-time analytics and data ingestion from IoT devices.
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