What are the differences between Kinesis Data Streams and Kinesis Data Firehose?
An example of an AI chatbot conversation about comparing Kinesis services.
What are the differences between Kinesis Data Streams and Kinesis Data Firehose?
Kinesis Data Streams allows real-time data processing and custom applications, while Kinesis Data Firehose is for loading data into AWS services.
Can you explain the use cases for each service?
Sure! Use Kinesis Data Streams for real-time analytics and processing, and Firehose for batch loading data into S3 or Redshift.
Which one is more cost-effective for large data volumes?
It depends on your use case. Data Streams can be more cost-effective for real-time processing, while Firehose is simpler for batch uploads.
Are there any limitations I should be aware of?
Yes, Data Streams has limits on shard capacity, while Firehose has limits on data transformation and delivery frequency.
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