solr VS OpenSearch

Compare solr vs OpenSearch and see what are their differences.

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solr OpenSearch
6 19
1,015 8,739
2.7% 3.0%
9.8 9.9
6 days ago 5 days ago
Java 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.

solr

Posts with mentions or reviews of solr. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-18.

OpenSearch

Posts with mentions or reviews of OpenSearch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-30.

What are some alternatives?

When comparing solr and OpenSearch you can also consider the following projects:

llm-integration - spring-starter, which enables semantic search, backed by OpenAI, by couple of lines

Elasticsearch - Free and Open, Distributed, RESTful Search Engine

open-semantic-search - Open Source research tool to search, browse, analyze and explore large document collections by Semantic Search Engine and Open Source Text Mining & Text Analytics platform (Integrates ETL for document processing, OCR for images & PDF, named entity recognition for persons, organizations & locations, metadata management by thesaurus & ontologies, search user interface & search apps for fulltext search, faceted search & knowledge graph)

graylog - Free and open log management

fess - Fess is very powerful and easily deployable Enterprise Search Server.

Apache Solr - Apache Lucene and Solr open-source search software

swirl-search - Swirl is an open-source search platform that uses AI to search multiple content and data sources simultaneously and return AI-ranked results. And provides summaries of your answers from searches using LLMs. It's a one-click, easy-to-use Retrieval Augmented Generation (RAG) Solution.

MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow

orange - Cross-platform local file search engine.

vector - A high-performance observability data pipeline.

LuceneBench - Lucene Benchmark : benchmarking Lucene vs. SeekStorm

sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.