ElasticSearch PHP VS Elastica

Compare ElasticSearch PHP vs Elastica and see what are their differences.

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ElasticSearch PHP Elastica
3 1
5,238 2,253
0.3% -
7.7 6.7
3 days ago 23 days ago
PHP PHP
MIT License 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 PHP

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

Elastica

Posts with mentions or reviews of Elastica. We have used some of these posts to build our list of alternatives and similar projects.
  • Our experience with upgrading ElasticSearch
    1 project | dev.to | 6 Jul 2021
    Instead of a three-page procedure we now had five console commands: Create, Delete, Index, Replay and AddToQueue all of which used ruflin/elastica to communicate with the ElasticSearch cluster in the background.

What are some alternatives?

When comparing ElasticSearch PHP and Elastica you can also consider the following projects:

TNTSearch - A fully featured full text search engine written in PHP

SphinxQL query builder - SphinxQL Query Builder generates SphinxQL, a SQL dialect, which is used to query the Sphinx search engine. (Composer Package)

Sphinx Search - Sphinx Search library provides SphinxQL indexing and searching features

Solarium - PHP Solr client library

meilisearch-laravel-scout - MeiliSearch integration for Laravel Scout

laravel-searchable - Pragmatically search through models and other sources

laravel-scout-elasticsearch - Search among multiple models with ElasticSearch and Laravel Scout

php-rag - An AI assistant built with PHP, Solr and LLM backend of choice. Proof of concept mostly.