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When comparing Kafka vs Logsniffer, the Slant community recommends Kafka for most people. In the question“What are the best log management, aggregation & monitoring tools?” Kafka is ranked 8th while Logsniffer is ranked 27th. The most important reason people chose Kafka is:
Kafka is optimized for supporting a huge number of users.
Specs
Question Ranking
Pros
Pro Optimized for performance
Kafka is optimized for supporting a huge number of users.
Pro Native mirroring support
Kafka has native support for mirroring.
Pro Native compression support
Kafka has native support for compression.
Pro Monitoring and alerting
Scans logs in real-time using powerful search routines and publishes identified events to several channels. Storing events in an Elasticsearch index enables extensive analysis.
Pro UI first approach
Everything can be managed by the great UI: Configuring logs, start/stop alerts etc.
Pro Endless scrolling through logs – forward and backward
There is no need to adjust time filter ranges etc. to scroll up or down in the sequence of log messages.
Pro Lightweight on-premise app
All-in-one bundled web application, 30MB with a low memory footprint. Only Java is required.
Pro Real-time log tailing
Logs are accessed and tailed directly from files in real-time.
Cons
Con Java is a resource hog
Java is a resource hog, making this far too slow unless you have money to throw at multiple servers with 1/2TB of ram.
Con Need Zookeeper
Kafka can only work with Zookeeper
