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SlateIndex

OpenSearch

New

The open engine for AI-powered search and observability

Vector DatabasesSan Francisco, CA, United States51–200 employeesFounded 2021

#16 of 30 in Vector Databases0% positive in AI answers

Track this brand Visit websiteCompare alternatives
Visibility score
3.9%
New vs last week
Weekly run · Nov 2

Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

  • OpenSearch ranks #16 of 30 in Vector Databases with an AI visibility score of 3.9 (SlateIndex, Nov 2, 2026).
  • OpenSearch is most visible on Perplexity (4.8) and least on Google AI Mode (3).
  • AI engines name OpenSearch in 6 of the 30 Vector Databases buyer prompts SlateIndex tracks.
  • github.com is the source AI engines cite most in answers about OpenSearch, with 4 citations.

About

Company details for OpenSearch

OpenSearch is an open source search and analytics suite licensed under Apache 2.0. It consists of a data store and search engine (OpenSearch), a visualization and user interface (OpenSearch Dashboards), and a server-side data collector (Data Prepper). Plugins extend it with search, analytics, observability, security, and machine learning features, including vector search. It ranks #16 of 30 in Vector Databases on SlateIndex and has a visibility score of 3.9 in the latest weekly run.

Founded in 2021 and headquartered in San Francisco, CA, United States, the company employs 51–200 people. Its differentiator: fully Apache 2.0 licensed from ingest to dashboard, vendor-neutral, and a Linux Foundation project.

Company size
51–200 employees
Headquarters
San Francisco, CA, United States
Founded
2021
Company type
Nonprofit
Deployment
Self-managed, or through Amazon OpenSearch Service and managed providers such as Aiven and Instaclustr. A Kubernetes operator is available for managing clusters.
Platforms
Windows
Support
Community forum, Slack, GitHub, Long-term support from certified providers
LinkedIn · linkedin.com/company/opensearch-project/GitHub · github.com/opensearch-projectYouTube · youtube.com/c/OpenSearchProjectX · x.com/OpenSearchProj

Read from linkedin.com, opensearch.org, en.wikipedia.org · refreshed Nov 2, 2026.

AI visibility

Latest weekly run · Nov 2 · next run Nov 9

Visibility score
3.9%
across Vector Databases answers, weighted by position
ChatGPT3.9%
AI Mode3%
Perplexity4.8%
Change
New
vs last week’s run
Category rank
#16 of 30
in Vector Databases
Mentions
8
in this week’s run
Share of voice
1.7%
of AI mentions in Vector Databases

Visibility score trend

Weekly runs over the last 60 days, with up to 7 competitors. Click a name to hide or show its line.

Now3.9%
30-day change—
High · low3.9% · 3.9%
Rank#16
0%25%50%75%100%Nov 2OpenSearch 4%

Changes appear after the second weekly run in Vector Databases. Pinecone leads the category at 71.8%.

Media

Website and product screenshots for OpenSearch

All media
Home page

AI mentions & citations

Recent answers that name OpenSearch

All prompts

How do companies store and search embeddings without a dedicated tool?

Existing search engines: Elasticsearch and OpenSearch can store dense vectors alongside traditional inverted indexes, enabling hybrid keyword-plus-semantic search.

Perplexity · run of Nov 2

How do companies store and search embeddings without a dedicated tool?

Use Elasticsearch or OpenSearch

ChatGPT · run of Nov 2

How do companies store and search embeddings without a dedicated tool?

Traditional Search Engines (Elasticsearch / OpenSearch):

Google AI Mode · run of Nov 2

Who makes the most used vector database?

If counting incumbent search engines and document stores that added heavy vector capabilities, Elasticsearch (by Elastic ) and OpenSearch technically rank highest on general database popularity metrics (like DB-Engines)…

Google AI Mode · run of Nov 2

Top vector database options for B2B SaaS companies

Perplexity · run of Nov 2

Compare the leading Vector Databases platforms

Choose Elasticsearch or OpenSearch when vector search is only one part of a broader search, logging, analytics, or observability platform.

Perplexity · run of Nov 2

How do I choose a vector database for a mid-market team?

ChatGPT · run of Nov 2

Which Vector Databases vendors do analysts recommend?

ChatGPT · run of Nov 2

Products & features

What OpenSearch sells

OpenSearch Core

A search and analytics engine built on Apache Lucene.

OpenSearch Dashboards

A data visualization toolset for exploring and querying data.

OpenSearch Data Prepper

A server-side data collector that enriches, transforms, and aggregates data for analytics.

OpenSearch Vector Engine

A database for machine learning and generative AI applications that stores and searches vector data.

Strengths engines cite

  • Strong general database popularity
  • Hybrid keyword-plus-semantic search with dense vectors
  • Suited to broader search, logging, analytics, and observability

Target market & buyers

Developers and enterprises.

Notable customers include Akamai, Atlassian, Changi Airport Group, DataStax, LINE, Pega, SAP.

IndustryPrimary use case
Online retailScaling search for online storefronts to millions of weekly queries (Your Store Wizards)
GovernmentOpen source observability and log management for welfare administration (Norwegian Labor and Welfare Administration)
AviationA unified search experience for passengers (Changi Airport Group)

Funding & recent developments

Funding

Latest known roundTotal raised
——

Recent developments

  1. Oct 2026PartnershipThree new general members and two certified long-term support providers announced

    The OpenSearch Software Foundation announced three new general members (Intel, Adelean and Sidecar) and two newly certified long-term support providers.

  2. Sep 2026ProductOpenSearch 3.9 released

    OpenSearch version 3.9 was released.

  3. Sep 2026SecurityFIPS 140-3 support announced

    The project announced FIPS 140-3 support for its security features.

  4. Apr 2026PartnershipLong-term support program launched

    The OpenSearch Software Foundation launched a long-term support program with a vendor certification path.

  5. Apr 2026ProductVersion 3.6 adds agentic features

    OpenSearch version 3.6 added over 10 agentic features.

Competitive landscape

How OpenSearch compares with its top three alternatives

All alternatives

OpenSearch most often appears alongside Pinecone, Elasticsearch, Qdrant in AI answers.

vsOpenSearch vs Pinecone3.9% vs 71.8% visibility · Pinecone leadsFull comparison vsOpenSearch vs Elasticsearch3.9% vs 14.3% visibility · Elasticsearch leadsFull comparison vsOpenSearch vs Qdrant3.9% vs 60.5% visibility · Qdrant leadsFull comparison
BrandVisibilityShare of voicevs last weekStarting price
OpenSearch3.9%1.7%NewPricing not available
Pinecone71.8%14%NewFree plan
Elasticsearch14.3%5.1%NewPricing not available
Qdrant60.5%13.4%NewFree plan
PostgreSQL49%12.6%NewPricing not available

What AI answers say

Sentiment and themes from the answers that mention this brand

Reviews

Positive 0% · Neutral 75% · Mixed 25% of 8 engine answers that mention OpenSearch

Praised for

  • Strong general database popularity
  • Hybrid keyword-plus-semantic search with dense vectors
  • Suited to broader search, logging, analytics, and observability

Criticised for

    Cite as: SlateIndex, “OpenSearch AI visibility profile”, https://slateindex.ai/brand/opensearch, data of Nov 2, 2026. Licence: CC BY 4.0.