Elasticsearch Rails VS chewy

Compare Elasticsearch Rails vs chewy and see what are their differences.

Elasticsearch Rails

Elasticsearch integrations for ActiveModel/Record and Ruby on Rails (by elastic)

chewy

High-level Elasticsearch Ruby framework based on the official elasticsearch-ruby client (by toptal)
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Elasticsearch Rails chewy
3 2
2,958 1,807
0.6% 0.2%
4.1 6.5
30 days ago 9 days ago
Ruby Ruby
Apache License 2.0 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.

Elasticsearch Rails

Posts with mentions or reviews of Elasticsearch Rails. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-17.

chewy

Posts with mentions or reviews of chewy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-17.

What are some alternatives?

When comparing Elasticsearch Rails and chewy you can also consider the following projects:

Searchkick - Intelligent search made easy

ransack - Object-based searching.

pg_search - pg_search builds ActiveRecord named scopes that take advantage of PostgreSQL’s full text search

Thinking Sphinx - Sphinx/Manticore plugin for ActiveRecord/Rails

elasticsearch-ruby - Ruby integrations for Elasticsearch

Sunspot - Solr-powered search for Ruby objects

Tire

Searchlogic - Searchlogic provides object based searching, common named scopes, and other useful tools.

elastics - Simple ElasticSearch client for ruby with AR integration

Mongoid Search - Simple full text search for Mongoid ORM