🆚 Meilisearch vs. Typesense

Type

Site search software
Site search software

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.

Typesense is an open-source in-memory fuzzy search engine.

Headquarters

Paris, France
Sugar Land, Texas, United States

Website

Pricing

Free version ✔️Self-managed, open source
Cloud
Build
(100K documents, 50K searches)
$30+/month
Pro
(1M documents, 250K searches)
$300+/month
Free version ✔️Open source
Typesense Cloud$21.60+/month

Categories

Site Search › Rank #23
Site Search › Rank #24

Popularity

Determined by the number of sites using each technology.

The Meilisearch software is 1.1 times more popular than Typesense.
Total websites

Market share

Site Search

Popularity by country

Determined by the number of sites detected from each country.

Meilisearch is more popular in Germany, France, and Portugal, while Typesense is more popular in the United States, the United Kingdom, and Italy.
United States
Germany
France
Portugal
United Kingdom
Italy
Australia
Canada
Belgium
Netherlands

Awards

Popularity by domain category

Determined by the number of sites in each category.

Meilisearch is more popular among sites focused on fashion and beauty, Internet services, and software and hardware, while Typesense is more commonly used on online shopping, business, and marketing and merchandising sites.
Online Shopping
Business
Marketing/Merchandising
Fashion/Beauty
Internet Services
General News
Entertainment
Motor Vehicles
Software/Hardware
Education/Reference

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#8,769
#9,670
#10,505
View more ➝
Name
Rank
#2,304
#7,149
View more ➝

See also

🗃️ About This Data