Manticore Software Ltd
Manticore Software develops Manticore Search, an open-source, resource-efficient database for full-text, typo-tolerant, vector, hybrid, geo and conversational search. It aims to make high-performance search and analytics simple to deploy and operate, using SQL or HTTP/JSON APIs and avoiding vendor lock-in.
At a Glance
- Software developers and engineering teams
- E-commerce and retail
- SaaS and online platforms
- Observability/logging and data-platform teams
- +2 more
AI Tools by Manticore Software Ltd
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Manticore Search
Open Source Search Database
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Latest News
Manticore Search 29.9.0: chunked and multi-vector auto-embeddings, mmap columnar access and fixes for hybrid/KNN/ingestion
Manticore Search 29.0.2: native distributed/sharded-table optimization, sharded-table inspection and faster columnar KNN rescoring
Manticore Search 28.4.4: faster KNN, custom-prompt conversational search, easier installs and more faceting controls
Manticore Search 27.1.5: authentication, sharded tables, conversational search and faster vector search
Products & Services
Open-source C++ search and analytics database combining full-text, typo-tolerant, vector, hybrid, geo and conversational search with real-time indexing, SQL/MySQL protocol and HTTP/JSON APIs.
Columnar-storage and analytics component used with Manticore for efficient aggregations, secondary indexes and vector/KNN workloads.
Companion component bundled with Manticore installations to provide additional functionality around the core server.
Manticore-backed LangChain vector store for storing, indexing and querying embeddings, with combined vector, full-text and filtering capabilities.
Market Position
Manticore positions itself as a fast, lightweight, cost-efficient open-source alternative to Elasticsearch/OpenSearch, while also competing with Sphinx, Meilisearch, Typesense, Quickwit and Vespa in search and with Qdrant and other vector databases for vector retrieval. Its differentiators are a single SQL/HTTP database spanning full-text, vector, hybrid and analytical workloads, low resource overhead, real-time/distributed operation and no vendor lock-in.
Leadership
Founders
Peter Zaitsev
Open-source database entrepreneur; former CEO and founder of Percona, and a long-time MySQL technologist, author and advisor.
Mindaugas Žukas
Technology/business leader and COO of Altinity; a director of Manticore Software Ltd from incorporation.
Sergey Nikolaev
Search/database technologist and current CEO of Manticore Search; previously associated with Ivinco and Percona and a longtime Sphinx/Manticore maintainer.
Executive Team
Sergey Nikolaev
CEO
Leads Manticore Search and writes about search architecture, performance tuning, releases, replication, hybrid and vector search; GitHub identifies him as CEO and co-founder of Manticore.
Founding Story
Manticore emerged from the Sphinx open-source search project when Sphinx ceased active existence around 2017. Peter Zaitsev and Mindaugas Žukas took on the technology to commercialize it for industry use while keeping it open source; Sergey Nikolaev subsequently led the product/company as CEO and founder.
Business Model
Revenue Model
Open-source core monetized through professional services, support subscriptions, consulting, custom feature engineering and planned SaaS/managed offerings. The company also offers free community support and paid Standard and Enterprise support.
Pricing Tiers
Free config review, public forum/Slack/Telegram/GitHub support and community assistance.
SLA response times, technical account manager, installation/migration/schema/query/performance/HA/monitoring consulting, expedited bug fixes and curated knowledge base.
Standard features plus private dedicated chat, feature engineering and custom private-branch maintenance.
Target Markets
- Software developers and engineering teams
- E-commerce and retail
- SaaS and online platforms
- Observability/logging and data-platform teams
- Organizations needing self-hosted open-source search
- Enterprises seeking a lower-resource alternative to Elasticsearch/OpenSearch
- E-commerce/product search and recommendations
- Semantic search, vector retrieval and RAG/conversational assistants
- Site search, autocomplete and typo-tolerant discovery
- Log, metrics and observability search/analytics
- Geo-spatial search and location-aware inventory discovery
- Multilingual directories and large-scale document search
- Locally
- Kiva
- Bookbot
- wine.co.za