What are the key differences between Kafka and Kinesis architectures?
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What are the key differences between Kafka and Kinesis architectures?
Kafka is a distributed streaming platform that focuses on high throughput and low latency, while Kinesis is a fully managed service by AWS that offers easy integration with other AWS services.
Can you explain how data is processed in both systems?
In Kafka, data is processed through topics and partitions, allowing for parallel processing. Kinesis uses shards to manage data streams, enabling real-time processing.
Which one is better for real-time analytics?
It depends on your use case. Kafka is great for high-throughput scenarios, while Kinesis is ideal for AWS-centric applications needing seamless integration.
What about scalability and fault tolerance?
Kafka offers strong durability and fault tolerance through replication, while Kinesis automatically scales with your data load but has limits on shard throughput.
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