Databases for Full-text search

Lucene-based distributed search and analytics engine for text, vectors, logs and metrics.

Apache-licensed, foundation-governed fork of Elasticsearch for search, vectors and observability.

Hosted search-as-a-service with fast typo-tolerant search, merchandising and AI ranking.

Machine-data indexing and search platform with schema-on-read SPL queries, now owned by Cisco.

The original Lucene search server: battle-tested, Apache-governed, now with GPU-accelerated vectors.

The Java search library at the heart of Elasticsearch, OpenSearch and Solr, now with HNSW vectors.

Microsoft's managed search service for full-text, vector, hybrid and agentic retrieval on Azure.

Developer-friendly Rust search engine with typo tolerance and built-in hybrid semantic search.

In-memory, typo-tolerant search engine in C++ with vector, hybrid and conversational search.

Elasticsearch-quality BM25 search and fast aggregations inside Postgres via the pg_search extension.

Big-data serving engine for search, recommendation and RAG with tensors and ML ranking.

Lucene-inspired full-text search library in Rust, the engine under Quickwit and ParadeDB.

Single-binary Rust observability platform storing logs, metrics and traces as Parquet on object storage.

Tiny TypeScript full-text, vector and hybrid search engine for browsers, servers and the edge.

Log database from the VictoriaMetrics team: schemaless ingestion, LogsQL and low RAM and disk use.

Fast SQL-first search database, forked from Sphinx, with columnar storage and vector KNN.

Mature C++ probabilistic full-text search library with bindings for a dozen languages.

Pure-Go full-text, geo and vector indexing library from Couchbase.

Cloud-native search engine on object storage for logs and traces, built on Tantivy.

Faceted-search and discovery engine (MDEX) that Oracle bought in 2011; now a frozen Oracle Commerce component.

Tiny schema-less Rust search backend that returns object IDs, running in a few MB of RAM.

Veteran C++ full-text search server with SphinxQL, still shipping as Sphinx 3.

Lightweight single-binary full-text search engine in Go with Elasticsearch-compatible ingest.

AWS's original managed search service, closed to new customers since July 2024.

German error-tolerant search and matching engine, now sold for identity resolution and data matching.

Packaged enterprise search and RAG platform built on OpenSearch, with crawlers, connectors and hybrid search.

The extensible, standards-first open-source relational database.

Open-source retrieval database for AI apps, from embedded Python to serverless Chroma Cloud.

Cloud-native, distributed open-source vector database built for billions of vectors.

Open-source AI-native vector database with hybrid search, modules for embeddings and multi-tenancy.

IBM's managed, CouchDB-compatible JSON database with built-in search and geospatial queries.

ACID document database for .NET and beyond, with auto-indexing, Corax search and multi-master replication.

Serverless vector and full-text search on object storage, priced for billions of documents.

Enterprise multi-model database for XML, JSON and RDF with built-in search and semantic RAG.

Open-source native XML database and XQuery application platform for documents and digital editions.

Lightweight, fast native XML database and XQuery 3.1/4.0 processor with a GUI.

MongoDB's own multi-cloud DBaaS, bundling search, vector search and stream processing.

End-to-end tensor search engine that embeds text and images for you, built on Vespa.

AI-native C++ database for hybrid search over dense, sparse, multi-vector (tensor) and full text.

Apache's Java Content Repository: a hierarchical, versioned node store with search, behind many Java CMSs.

EnterpriseDB's PostgreSQL with deep Oracle compatibility: PL/SQL packages, DBMS_* and TDE.

Enterprise RAG and agent platform with managed hybrid retrieval, reranking and hallucination scoring.

Apache parallel database for semi-structured JSON data with SQL++, LSM storage and spatial/text indexes.

Self-tuning document-graph database with automatic indexing, full version history and time-travel reads.

Fully managed Milvus from its creators, with serverless, dedicated and BYOC deployments.

Russian commercial PostgreSQL distribution with multimaster, 64-bit XIDs and compressed storage.

The default document database: flexible BSON documents, rich queries and built-in sharding.

The enterprise heavyweight: RAC, Data Guard and a converged engine for SQL, JSON, graph and vectors.

Serverless document database with realtime listeners, offline SDKs and a new Enterprise edition.

Native multi-model database: documents, graphs, search and vectors behind one query language.

Google's globally consistent, horizontally scaling SQL service with graph, vector and full-text built in.

Microsoft's Kusto engine: fast KQL analytics over logs, telemetry and time series at petabyte scale.

Distributed SQL mixing in-memory rowstore and columnstore for real-time analytics, search and vectors.

Rust multi-model database (documents, graph, vectors, live queries) that runs embedded, in WASM or clustered.

Memory-first distributed JSON database with SQL++, search, vector indexes and mobile sync.

Distributed SQL database built on Lucene for real-time analytics over machine, IoT and JSON data.

Reactive TypeScript backend with a transactional document database, server functions and live queries.

Rust graph-vector database on object storage, queried through typed SDKs for AI apps.

Baidu's MySQL-compatible distributed HTAP database on RocksDB and Raft, with full-text and vector indexes.

Multi-model database for IoT and observability: time series, full-text, vector and key-value on Parquet.

Downloadable Spanner that runs on your own servers, other clouds or a laptop, with Paxos and auto-sharding.

Couchbase's managed DBaaS: Couchbase Server clusters plus App Services sync and AI tooling.