pipelinewise VS nifi

Compare pipelinewise vs nifi and see what are their differences.

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pipelinewise nifi
5 35
604 4,410
0.5% 1.8%
5.5 9.9
28 days ago 6 days ago
Python Java
Apache License 2.0 Apache License 2.0
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.

pipelinewise

Posts with mentions or reviews of pipelinewise. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-22.

nifi

Posts with mentions or reviews of nifi. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-19.

What are some alternatives?

When comparing pipelinewise and nifi you can also consider the following projects:

meltano

Logstash - Logstash - transport and process your logs, events, or other data

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.

superset - Apache Superset is a Data Visualization and Data Exploration Platform

debezium - Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.

electricitymaps-contrib - A real-time visualisation of the CO2 emissions of electricity consumption

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

jet-train

Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum: