Dpl VS Logstash

Compare Dpl vs Logstash and see what are their differences.

Dpl

Dpl (dee-pee-ell) is a deploy tool made for continuous deployment. (by travis-ci)

Logstash

Logstash - transport and process your logs, events, or other data (by elastic)
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Dpl Logstash
1 5
1,289 14,006
0.1% 0.3%
0.0 9.6
8 days ago 7 days ago
Ruby Java
MIT License 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.

Dpl

Posts with mentions or reviews of Dpl. We have used some of these posts to build our list of alternatives and similar projects.

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 Dpl and Logstash you can also consider the following projects:

Capistrano - A deployment automation tool built on Ruby, Rake, and SSH.

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

Backup - Easy full stack backup operations on UNIX-like systems.

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

Logs - Mountable Rails Engine for viewing paginated logs from a browser

nifi - Apache NiFi

chef-template - Chef Solo config for management servers with Ruby/Rack based applications

graylog - Free and open log management

Vagrant - Vagrant is a tool for building and distributing development environments.

Flume - Mirror of Apache Flume

Deployinator

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