Logstash vs Prometheus: What are the differences?
Developers describe Logstash 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. On the other hand, Prometheus is detailed as "An open-source service monitoring system and time series database, developed by SoundCloud". Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
Logstash can be classified as a tool in the "Log Management" category, while Prometheus is grouped under "Monitoring Tools".
Some of the features offered by Logstash are:
- Centralize data processing of all types
- Normalize varying schema and formats
- Quickly extend to custom log formats
On the other hand, Prometheus provides the following key features:
- a multi-dimensional data model (timeseries defined by metric name and set of key/value dimensions)
- a flexible query language to leverage this dimensionality
- no dependency on distributed storage
"Free" is the top reason why over 60 developers like Logstash, while over 32 developers mention "Powerful easy to use monitoring" as the leading cause for choosing Prometheus.
Logstash and Prometheus are both open source tools. It seems that Prometheus with 25K GitHub stars and 3.55K forks on GitHub has more adoption than Logstash with 10.3K GitHub stars and 2.78K GitHub forks.
Airbnb, reddit, and Typeform are some of the popular companies that use Logstash, whereas Prometheus is used by Uber Technologies, Slack, and DigitalOcean. Logstash has a broader approval, being mentioned in 561 company stacks & 278 developers stacks; compared to Prometheus, which is listed in 243 company stacks and 85 developer stacks.
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Red Hat, Inc.
Red Hat, Inc.