Logstash VS meltano

Compare Logstash vs meltano and see what are their differences.

Logstash

Logstash - transport and process your logs, events, or other data (by elastic)

meltano

Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations. (by meltano)
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Logstash meltano
5 9
14,006 1,587
0.7% 4.8%
9.6 9.8
3 days ago 7 days ago
Java Python
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.

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.

meltano

Posts with mentions or reviews of meltano. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-02.

What are some alternatives?

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

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

Prefect - The easiest way to build, run, and monitor data pipelines at scale.

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

nifi - Apache NiFi

pipelinewise - Data Pipeline Framework using the singer.io spec

graylog - Free and open log management

pipelinewise-tap-mssql - Pipelinewise tap for Microsoft SQL Server

Flume - Mirror of Apache Flume

airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.

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

spark-rapids - Spark RAPIDS plugin - accelerate Apache Spark with GPUs