Apache Flume vs Logstash: What are the differences?
Developers describe Apache Flume as "A service for collecting, aggregating, and moving large amounts of log data". It is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data. It has a simple and flexible architecture based on streaming data flows. It is robust and fault tolerant with tunable reliability mechanisms and many failover and recovery mechanisms. It uses a simple extensible data model that allows for online analytic application. On the other hand, Logstash is detailed as "Collect, Parse, & Enrich Data". Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.
Apache Flume and Logstash belong to "Log Management" category of the tech stack.
Logstash is an open source tool with 10.4K GitHub stars and 2.81K GitHub forks. Here's a link to Logstash's open source repository on GitHub.
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What is Apache Flume?
What is Logstash?
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