Manticore Search is an open-source full-text search and data-analytics engine forked from Sphinx. Built in C++ for speed, it supports full-text queries, SQL and JSON interfaces, real-time indexes and modern features such as phrase matching and hit highlighting — making it a high-performance, lower-resource alternative to Elasticsearch.

Key Features

• High performance — C++ core engineered for fast indexing and search on modest hardware
• SQL + JSON APIs — Query via familiar SQL or a JSON HTTP API
• Real-time indexes — Insert, update and delete documents with instant visibility
• Full-text power — Phrase matching, stemming, hit highlighting and ranking
• Aggregations & analytics — Facets, grouping and columnar analytics over indexed data
• Cost-efficient — Far lower memory footprint than comparable engines

Why Use Manticore Search?

Manticore delivers many of the same capabilities as Elasticsearch but with a fraction of the resource cost, which makes it attractive for smaller teams and self-hosted deployments. Its dual SQL/JSON interfaces lower the learning curve, and it excels at both classic site search and higher-level analytics.

Use Cases

• Site and e-commerce full-text search
• Log and message analytics with SQL aggregation
• Real-time document indexing and search
• Resource-constrained self-hosted search

Platform

Linux · macOS · Windows · Docker

Licence

GPL-2.0 (open-source edition)

Website

manticoresearch.com