search database / full-text & vector search
Manticore Search is an open-source search database (C++) providing fast full-text, vector, and hybrid search with real-time indexing and SQL query support.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Choose for embedded full-text/vector search in JavaScript/TypeScript apps without a separate server; runs in-browser/edge, not a standalone database with SQL.
🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
Choose if you want search and vector retrieval inside PostgreSQL to avoid a separate search server; requires Postgres and uses a different query interface.
One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.
Choose for large-scale, high-availability search with advanced ranking and machine-learned relevance; heavier deployment in Java and steeper ops.
The AI search platform
Choose for an Apache-2.0 C++ hybrid search database built for LLM applications; newer project with less mature ecosystem than Manticore.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
Choose for a unified AI-native database with vector/text/structured storage; backed by OceanBase but less mature and different API.
The AI-Native Search Database. Best for agent storage, it unifies vector, text, structured, and semi-structured data into a single engine. This all-in-one database makes agents smarter, easier to run, and more stable.
Choose if you want a Rust-based in-process library or multi-tenant server; Apache-2.0 license vs Manticore's GPL-3.0.
SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.
Choose for a developer-friendly REST search API with quick setup and AI-powered hybrid search; no SQL, less flexible for complex queries.
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
Choose for typo-tolerant, in-memory search with a simple API; in-memory limits dataset size and uses GPL-3.0.
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
Choose for an object-based vector database with GraphQL/REST and built-in modules; not SQL, heavier for full-text-heavy workloads.
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Choose for real-time analytics plus hybrid search in one distributed SQL system; heavy analytical workload, not a lightweight search DB.
Apache Doris is a real-time analytics and hybrid search database for AI agents.
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Choose for an embedded vector retrieval library in Rust; lacks full-text search and SQL, still evolving.
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
Choose for dedicated vector search with rich payload filtering; no full-text search, primarily for vector-only use cases.
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Choose when you want vector search inside an existing Postgres database; no full-text search or SQL search features beyond vectors.
Open-source vector similarity search for Postgres
Choose for a lightweight self-hosted vector database; lacks full-text search and has less activity.
Epsilla is a high performance Vector Database Management System
Choose for an in-process lightweight vector database in C++; vector-only, no server or SQL.
A lightweight, lightning-fast, in-process vector database
Choose for a distributed vector search system; full-text absent, less developer traction.
Distributed vector search for AI-native applications
Choose for a stale Postgres vector extension if you need a simple vector store; unmaintained, vector-only, superseded by pgvector.
PostgreSQL vector database extension for building AI applications
Choose for a PHP-native full-text search using SQLite, no server; PHP-only, limited to full-text.
A full text search engine with tokenization, stemming, typo tolerance, filters and geo support based on only PHP and SQLite.
Choose for client-side full-text search in JavaScript; browser-only, no server, full-text only.
Next-generation full-text search library for Browser and Node.js
Choose for embedding a Lucene-like full-text search library in Rust; library only, no vector search or SQL.
Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust
Choose for a minimal, lightweight full-text search backend with low memory; no vector, no filters, schema-less.
🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
Does the same job, but ships as an app. Useful to a person, not swappable into a codebase.
Choose for a ready-made enterprise search server with crawling and UI; built on OpenSearch, a wrapper app rather than a library.
Open-source, self-hosted enterprise & site search server built on OpenSearch. Crawls web / file / DB / cloud sources, 20+ languages, REST API, and AI/RAG & semantic search. Apache-2.0.
These projects were analysed and named manticoresearch among their alternatives. The relationship is not symmetric — how manticoresearch rates them is a separate judgement, made when manticoresearch is analysed in its own right.
calls manticoresearch “Choose Manticore when you want a robust full-text search database with SQL support and real-time indexing, and you do not require Meilisearch's specific API.”
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
calls manticoresearch “Choose when you need a search database with SQL, full-text, vector, and hybrid search in real-time, with a mature open-source community.”
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
calls manticoresearch “choose when you want a mature C++/SQL search server with similar full-text and vector/hybrid capabilities and lower operational complexity than a Java stack”
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
calls manticoresearch “When you need full-text search with SQL support and real-time indexing, especially for SQL-savvy teams.”
Free and Open Source, Distributed, RESTful Search Engine
calls manticoresearch “choose for SQL-capable full-text and vector search in a dedicated search database.”
Open-source vector similarity search for Postgres
calls manticoresearch “when you need SQL access, real-time indexing, and vector search on a large database.”
🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
calls manticoresearch “Choose when you need a search database with SQL and real-time indexing, for server-side workloads.”
Lightweight fuzzy-search, in JavaScript
calls manticoresearch “Choose when you need a real-time search database with SQL, full-text, and vector hybrid search.”
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
calls manticoresearch “When you need a C++ search database with SQL, real-time indexes, and good performance.”
Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust
calls manticoresearch “Open-source search database with SQL, full-text, vector, and real-time indexing; choose it when you need SQL-capable search without lakehouse/MPP analytics.”
Apache Doris is a real-time analytics and hybrid search database for AI agents.
calls manticoresearch “search database with SQL and real-time indexing; choose for hybrid full-text/vector on a server.”
A lightweight, lightning-fast, in-process vector database
calls manticoresearch “Choose when you need a high-performance search database with SQL and full-text/vector support; heavier than FlexSearch.”
Next-generation full-text search library for Browser and Node.js
calls manticoresearch “Choose for SQL-based full-text and vector search with real-time indexing when you don't require an Elasticsearch-compatible API.”
🔎 Open source distributed and RESTful search engine.
calls manticoresearch “Standalone search database with full-text/vector/hybrid and SQL; choose for a SQL-accessible search service.”
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
calls manticoresearch “Standalone search database with SQL and real-time indexing; choose when you want full-text plus vector in one server with SQL.”
🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
calls manticoresearch “Use when you need a high-performance search database with real-time indexing and SQL on the server.”
A bit like Solr, but much smaller and not as bright
calls manticoresearch “Choose it when you need a high-performance standalone search database with SQL and real-time full-text/vector/hybrid search under GPL.”
One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.
calls manticoresearch “Choose for SQL-friendly search database with real-time indexing and GPL-3.0; lighter deployment than Vespa.”
The AI search platform
calls manticoresearch “pick for real-time SQL-driven full-text/vector search if you accept the GPL-3.0 license”
Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️