🆚 Meilisearch vs. Solr
Compare technologies based on real-world usage data *- 📈 Solr is much more popular than Meilisearch.
- 🌎 Solr is more popular in the United States, Germany, and the United Kingdom.
- 🌍 Meilisearch is more popular in Latvia.
Type
About
Meilisearch is an open-source AI-powered hybrid search engine for applications and websites that combines keyword-based and vector-based search to retrieve results using both lexical matching and semantic similarity.
It provides a REST API and client libraries for multiple programming languages, supports full-text search with typo tolerance, synonyms, faceted filtering, customizable sorting, and vector embeddings for semantic search.
Solr is an open-source enterprise search server built on the Apache Lucene information retrieval library that provides full-text, faceted, and geospatial search over HTTP APIs.
It supports advanced query parsers and hit highlighting, schema-based and schemaless indexing, distributed indexing and fault-tolerant search with SolrCloud, and parsing of rich documents such as PDFs, Microsoft Word, Microsoft Excel, PowerPoint, HTML, and OpenDocument formats.
Headquarters
Pricing
(100K documents, 50K searches)$30+/month
(1M documents, 250K searches)$300+/month
Categories
Popularity
Determined by the number of sites using each technology.
Market share
Popularity by country
Determined by the number of sites detected from each country.
Awards
- ⭐ 5th most popular in Portugal in the Site Search category.
- 🥇 Most popular in Germany in the Site Search category.
- 🥇 Most popular in the United Arab Emirates in the Site Search category.
- 🥇 Most popular in Austria in the Site Search category.
- 🥇 Most popular in Portugal in the Site Search category.
- 🥈 Second most popular in Australia in the Site Search category.
Popularity by domain category
Determined by the number of sites in each category.
Top sites
Top-ranked sites that use these technologies.
Compare alternatives
Technologies with similar characteristics.
See also
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When making your decision, it is better to rely on data that cannot be falsified.
Our service evaluates the popularity of technologies by the number of websites using them.
Lunr