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Hosted search-as-a-service platform delivering real-time, full-text search for apps and websites
Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
Fast open-source database built for high-performance search
Manticore Search is a high-performance, SQL-first database optimized for full-text search. A cost-efficient alternative to Elasticsearch with modern multithreading and query parallelization.
Manticore Search is a high-performance database purpose-built for search workloads. Forked from Sphinx in 2017, it delivers exceptional speed—up to 182x faster than MySQL for small datasets and 29x faster than Elasticsearch for log analytics—while maintaining cost efficiency through intelligent resource utilization.
Manticore is SQL-first with MySQL protocol compatibility, making adoption seamless for teams familiar with relational databases. It features modern multithreading architecture that fully utilizes CPU cores, automatic secondary indexing via PGM-index, and a cost-based query optimizer. The database supports both row-wise and columnar storage, enabling efficient handling of datasets from small to those exceeding available RAM.
Full-text search capabilities include over 20 operators, custom ranking, fuzzy search, faceted search, geo-spatial search, and vector search. NLP features like stemming, lemmatization, and proper Chinese segmentation are built-in. Real-time inserts ensure immediate document availability, while multi-master replication and load balancing provide high availability.
Organizations like Craigslist, Socialgist, and PubChem rely on Manticore for search and stream filtering. It's ideal for teams seeking Elasticsearch-level functionality with superior performance and lower infrastructure costs.
When teams consider Manticore Search, these hosted platforms usually appear on the same shortlist.
Hosted search-as-a-service platform delivering real-time, full-text search for apps and websites
Managed search service to index and query text & structured data
AI-powered enterprise search service that indexes and searches across various content repositories with natural language queries
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
High-volume log analytics
Process and search massive log streams 29x faster than Elasticsearch with lower hardware costs and real-time query performance
E-commerce product search
Deliver instant full-text, faceted, and geo-spatial search across catalogs with custom ranking and autocomplete using familiar SQL syntax
Content filtering and monitoring
Filter streams in real-time using percolate tables or Kafka integration to match documents against stored queries for alerting and classification
Multi-tenant SaaS search
Deploy cost-efficient search infrastructure with multi-master replication, load balancing, and minimal RAM overhead for scalable tenant isolation
Manticore offers significantly faster performance (up to 29x for log analytics) with lower resource consumption. It uses SQL as its native syntax with MySQL protocol compatibility, while Elasticsearch uses JSON-based DSL. Manticore has a smaller ecosystem but provides Elasticsearch-compatible write APIs for easier migration.
Manticore offers three storage types: row-wise (faster performance, more RAM), columnar via Manticore Columnar Library (handles datasets exceeding RAM with good performance), and docstore (minimal RAM, fetch-only without sorting/filtering). You can choose based on dataset size and query requirements.
No, Manticore is not fully ACID-compliant. It supports isolated transactions and binary logging for safe writes, but lacks complete transactional guarantees. It's optimized for search performance rather than strict transactional consistency.
Yes, Manticore can sync data directly from MySQL, PostgreSQL, ODBC, XML, and CSV sources. It uses SQL syntax and supports the MySQL protocol, making it familiar for teams with relational database experience. Client libraries are available for PHP, Python, JavaScript, Java, Go, Rust, and more.
Manticore includes virtually synchronous multi-master replication using the Galera library, built-in load balancing, and the ability to distribute data across servers and data centers. It also offers backup tools (manticore-backup and SQL BACKUP command) for data safety.
Project at a glance
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