Packetbeat VS Statsd

Compare Packetbeat vs Statsd and see what are their differences.

Packetbeat

:tropical_fish: Beats - Lightweight shippers for Elasticsearch & Logstash (by elastic)
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Packetbeat Statsd
15 6
11,989 17,459
0.4% 0.4%
9.9 5.1
5 days ago 3 months ago
Go JavaScript
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Packetbeat

Posts with mentions or reviews of Packetbeat. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-03.

Statsd

Posts with mentions or reviews of Statsd. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-04.

What are some alternatives?

When comparing Packetbeat and Statsd you can also consider the following projects:

Collectd - The system statistics collection daemon. Please send Pull Requests here!

Grafana - The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

prometheus - The Prometheus monitoring system and time series database.

InfluxDB - Scalable datastore for metrics, events, and real-time analytics

Telegraf - The plugin-driven server agent for collecting & reporting metrics.

Graphite - A highly scalable real-time graphing system

Diamond - Diamond is a python daemon that collects system metrics and publishes them to Graphite (and others). It is capable of collecting cpu, memory, network, i/o, load and disk metrics. Additionally, it features an API for implementing custom collectors for gathering metrics from almost any source.

logstash-output-elasticsearch

tcollector - Data collection framework for OpenTSDB