Fluentd VS Logstash

Compare Fluentd vs Logstash and see what are their differences.

Fluentd

Fluentd: Unified Logging Layer (project under CNCF) (by fluent)

Logstash

Logstash - transport and process your logs, events, or other data (by elastic)
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Fluentd Logstash
25 5
12,531 13,999
0.7% 0.6%
8.0 9.6
20 days ago 6 days ago
Ruby Java
Apache License 2.0 GNU General Public License v3.0 or later
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.

Fluentd

Posts with mentions or reviews of Fluentd. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-15.

Logstash

Posts with mentions or reviews of Logstash. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-04.

What are some alternatives?

When comparing Fluentd and Logstash you can also consider the following projects:

vector - A high-performance observability data pipeline.

Logback - The reliable, generic, fast and flexible logging framework for Java.

zipkin - Zipkin is a distributed tracing system

Apache Log4j 2 - Apache Log4j 2 is a versatile, feature-rich, efficient logging API and backend for Java.

Flume - Mirror of Apache Flume

nifi - Apache NiFi

Lograge - An attempt to tame Rails' default policy to log everything.

graylog - Free and open log management

Semantic Logger - Semantic Logger is a feature rich logging framework, and replacement for existing Ruby & Rails loggers.

heka - DEPRECATED: Data collection and processing made easy.

Logbook - An extensible Java library for HTTP request and response logging