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![[Kafka] [Kinesis]
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![[Kafka] [Kinesis]
Kafka Connect
Kafka-rest
Kafka-Pixy
Kastle
AWS
API Gateway
HTTP API
ETL ETL 7](https://image.slidesharecdn.com/20160531kafkakinesispub-160601054833/75/Kafka-AWS-Kinesis-9-2048.jpg)
![[Kafka] [Kinesis]
Kafka Connect
Kafka-rest
Kafka-Pixy
Kastle
AWS
API Gateway
HTTP API
ETL ETL
OSS
•Kafka Streams
•PipelineDB
AWS
•Kinesis Analytics
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JMX Reporter
Kerberos
Cloudwatch
AWS
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![[Kafka] [Kinesis]
JMX Reporter
Kerberos
Cloudwatch
AWS
7
← →
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http://insightdataengineering.com/blog/ingestion-comparison/
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This document compares Apache Kafka and AWS Kinesis for message streaming. It outlines that Kafka is an open source publish-subscribe messaging system designed as a distributed commit log, while Kinesis provides streaming data services. It also notes some key differences like Kafka typically handling over 8000 messages/second while Kinesis can handle under 100 messages/second.
Introduction to Kafka and AWS Kinesis highlighted. Discusses the presenters' information.
Lists significant dates and events in technology, including Druid, RDB NoSQL, and Spark Streaming.
Describes Kafka as a publish-subscribe messaging system and Kinesis as a stream analytics service.
Presents Kinesis performance metrics: <100ms latency and message processing at ~8000 messages/sec.
Visual comparison of Kafka and Kinesis, focusing on functionalities and performance.
Discusses tools and integrations for Kafka (e.g., Kafka Connect) and Kinesis (e.g., Kinesis Analytics).
Mentions monitoring tools like JMX Reporter for Kafka and Cloudwatch for Kinesis.
Comparison of message processing capacities of Kafka and Kinesis, including scenarios for usage.