Manticore Search Search
Manticore Search is a search engine software for websites, web applications and intranets. It is open source, distributed and highly scalable.
- Since:2017
- Docs:docs.manticoresearch.com
- Github Topic:manticore-search
- License:github.com
- Official:manticoresearch.com
- Reddit:r/ManticoreSearch
- Repository:github.com
- StackOverflow:[manticore-search]
- Twitter:@manticoresearch
#What is Manticore Search?
Manticore Search is an open-source search engine designed for performance and scalability. It uses SphinxQL, a SQL-like interface, to search and index various types of data. Manticore Search provides a range of features, including advanced full-text search capabilities, real-time indexing, and distributed architecture.
#Manticore Search Key Features
Most recognizable Manticore Search features include:
- High indexing and query performance.
- Support for distributed search across multiple servers and data sources.
- Advanced full-text search capabilities, including phrase and proximity matching, stemming, and stopword filtering.
- Real-time indexing of changes to data sources.
- Robust analytics and reporting capabilities.
- Support for a wide range of data sources, including SQL, NoSQL, and JSON.
#Manticore Search Use-Cases
Some of the Manticore Search use-cases are:
- E-commerce and online retail search, powering fast and accurate product search for online stores.
- Enterprise search, providing a unified search experience across various data sources within an organization.
- Media and publishing search, enabling fast and accurate content search for digital media and publishing companies.
- Site search, powering fast and accurate search for websites and web applications.
- Knowledge management search, providing fast and accurate search for large amounts of unstructured data.
- Log analysis search, enabling fast and accurate search and analysis of log data.
#Manticore Search Summary
Manticore Search is an open-source search engine that provides high performance, advanced full-text search capabilities, and support for distributed search across multiple servers and data sources. It is commonly used for e-commerce and online retail search, enterprise search, media and publishing search, site search, knowledge management search, and log analysis search.
