product
Data quality: Editorially ReviewedRetrieval & data layer
Software & technology
Workflow orchestration
Self-hosted / on-premises
Freemium
Data & Retrieval
SaaS (vendor-hosted)
Retrieval & semantic search
Elasticsearch
Data & Retrieval
Overview
Elasticsearch is a distributed search and analytics engine by Elastic that runs vector similarity search, full-text search, log analytics, machine learning, and alerting on the same platform. It supports kNN search with HNSW, approximate nearest-neighbor algorithms, and hybrid search combining BM25 and vector scoring.
- Pricing model
- Freemium
- Deployment
- SaaS (vendor-hosted), Self-hosted / on-premises
- Regions served
- Global
- Categories
- Retrieval & data layer, Software & technology, Workflow orchestration, Self-hosted / on-premises, Freemium, Data & Retrieval, SaaS (vendor-hosted), Retrieval & semantic search
- Last updated
- 2 October 2026
- Published
- 2 October 2026
Use cases
Workflow orchestration
Deployment options
SaaS (vendor-hosted)
Self-hosted / on-premises
Data sources & provenance
Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.
- Data quality
- Data quality: Editorially Reviewed
- Primary source
- elastic.co
- Sources cited
- 2
- Last reviewed
- 28 September 2026
- Last updated
- 2 October 2026
Spotted something out of date?
Anyone can suggest a correction — you don't need an account. An editor checks every suggestion against the sources before the record changes.