manticoresoftware/manticoresearch

Open-source search database for full-text, vector, and hybrid search with real-time indexing and SQL.

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Summary Information

Updated 43 minutes ago
Added to GitGenius on September 5th, 2026
Created on June 28th, 2017
Open Issues & Pull Requests: 655 (+0)
GitHub issues: Enabled
Number of forks: 641
Total Stargazers: 11,994 (+0)
Total Subscribers: 115 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.2 hours
Mean response time: 8.9 days
90th percentile: 5.2 days
Tracked items: 1,086

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 77% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "rel::7.0.0" is answered fastest, typically in under an hour, while "rel::27.1.5" waits about 26 hours. 77% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. Only 5% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 369
New in 7 days: 3
Closed in 7 days: 8
Avg open age: 740 days
Stale 30+ days: 358
Stale 90+ days: 345

Recent activity

Opened in 7 days: 3
Closed in 7 days: 7
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (696)
  • waiting (139)
  • est::size_S (123)
  • est::size_M (109)
  • rel::7.0.0 (61)
  • rel::27.1.5 (44)
  • enhancement (35)
  • est::size_L (34)

Detailed Description

Manticore Search is a search database that supports full-text, vector, and hybrid search with real-time indexing and SQL querying.

The tool addresses the need for a fast, searchable database by combining full-text search capabilities with vector search and hybrid approaches. It indexes data in real time and exposes its functionality through SQL interfaces, allowing developers to query search results using familiar database syntax. The README positions it as an alternative to Elasticsearch, emphasizing ease of use and performance.

Manticore Search suits projects requiring powerful search functionality without the operational complexity of larger distributed systems. Teams building applications that need full-text search, semantic search via vectors, or combinations of both will find the SQL interface particularly valuable if they prefer standard database query patterns over specialized search APIs. The tool is appropriate for deployments ranging from single-server setups to more complex configurations, and its open-source nature makes it accessible for projects with varying budget constraints.

The project maintains steady development activity with regular commits and consistent issue resolution. The team actively engages with users through multiple community channels including forums, Slack, and Telegram groups. Documentation is comprehensive and kept current alongside the codebase. The project demonstrates responsiveness to user feedback through dedicated feedback channels and maintains an active blog covering features and use cases.