AI Indexes
IT AI Index
Index › Products › OpenSearch · October 2026 Edition
6 categories · Ranked

OpenSearch

44Judge labels
0First choices
9Negative labels
12 / 14Models named it
6Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
0% in Logs for mid-market buyers
Rank 20 of 73 in the mid-market standing
0 of 14 models made it the first choice on the direct prompt; 12% of its 8 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In logs · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named OpenSearch for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Log managementIT operations and endpoint0%20 of 7312%8under 10 labels · led by Datadog Log Management at 28%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
NoSQL databasesData platform0%18 of 730%3under 10 labels · led by MongoDB at 74%newNew since September 2026: not ranked then, 0% now.
Vector databasesData platform0%18 of 440%3under 10 labels · led by pgvector at 35%newNew since September 2026: not ranked then, 0% now.
Telemetry pipelinesIT operations and endpoint0%46 of 1240%2under 10 labels · led by OpenTelemetry Collector at 37%
Infrastructure monitoringIT operations and endpoint0%49 of 790%1under 10 labels · led by Datadog at 28%newNew since September 2026: not ranked then, 0% now.
Observability platformsIT operations and endpoint0%75 of 80100%1under 10 labels · led by Grafana at 27%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

Movement

Since September 2026, OpenSearch held within the floor in all six categories: no change cleared 11 points.

Best category · Logs · by segment

Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 41 → 51 of 53
Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 24 → 21 of 66
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 51 → 16 of 62

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
Logs0%0%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Within noiseRank 24 → 20 of 73
NoSQL0%0%newNew since September 2026: not ranked then, 0% now.New this editionRank 18 of 73, unchanged
Vector databases0%0%newNew since September 2026: not ranked then, 0% now.New this editionRank 18 of 44, unchanged
Telemetry pipelines0%0%newNew since September 2026: not ranked then, 0% now.New this editionRank 46 of 124, unchanged
Infra monitoring0%0%newNew since September 2026: not ranked then, 0% now.New this editionRank 49 of 79, unchanged
Observability0%0%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Within noiseRank 58 → 75 of 80

Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.

The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions

By model

How each model treated OpenSearch across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500101
GPT-5.4 mini01001
Gemini 3.5 Flash00325
Perplexity Sonar00000
Grok 4.2000202
Mistral Small01102
DeepSeek V4 Flash01102
Llama 4 Maverick00000
Qwen 3.7 Flash01001
Kimi K200000
GLM 4.7 FlashX00101
MiniMax M2.500000
GPT-6 Luna01102
Muse Glimmer 30B00101

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct2 labelsNone
Paraphrase5 labelsNone
Comparative8 labelsNone
Budget-constrained6 labelsNone
Scale-constrained6 labelsNone
Negative17 labels1not counted in share
First choiceAlternativeMentionNegative44 labels in all, every segment counted; 0 of the 1 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Look for OpenSearch or ClickHouse-based architectures (fast analytics) rather than pure Elasticsearch” Qwen 3.7 Flash · Telemetry pipelines · scale prompt · alternative
“Another open-source alternative that provides log management capabilities similar to the ELK Stack” Mistral Small · Logs · budget prompt · alternative
“These can be low software-cost options, but you pay in engineering time and operational overhead.” GPT-5.4 mini · Logs · budget prompt · alternative
“strong full-text search with self-hosted or managed options” DeepSeek V4 Flash · Logs · negative prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“or its open-source fork OpenSearch because the software is free to download... This is often a financial mistake” Gemini 3.5 Flash · Logs · budget prompt · hard negative
“or OpenSearch stacks seems like a great way to save money. However, they frequently suffer from a high Total Cost of Ownership” Gemini 3.5 Flash · Observability · negative prompt · soft negative

Named alongside

The products named in the same answers as OpenSearch, over the 44 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and OpenSearch was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Splunk20 of 442Not among the top eight
Elastic Stack18 of 442Not among the top eight
Datadog Log Management18 of 441Not among the top eight
Grafana Loki14 of 443Not among the top eight
Elasticsearch13 of 440Not among the top eight
Graylog12 of 442Not among the top eight
Pinecone10 of 443Not among the top eight
Weaviate9 of 440Not among the top eight
New Relic Logs8 of 440Not among the top eight
Qdrant8 of 440Not among the top eight
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named OpenSearch. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 39 of the 44 answers that named OpenSearch and are not a share of its labels.

Domains cited

openobserve.ai12
reddit.com9
coralogix.com8
medium.com8
dupple.com7
elastic.co7
g2.com7
logmanager.com7
atlan.com6
cribl.io6

Seventy-seven of the seventy-seven domain citations in answers naming OpenSearch came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

opensearch.org is not in Google's top ten for any of the category's searches. In the answers, OpenSearch takes 0% of first choices and Datadog Log Management takes 28%.
ShowHide

In search

Google, US estimates
Position for “log management platform”
–
not in the top ten
Position for “log management platforms”
–
not in the top ten
Searches for its name, Google
9,900 a month (“opensearch”)
AI search demand for its name, est.
844 a month
Organic visits to its site
about 20,509 a month
Searches its site ranks for
2,070 · 352 in the top three
Sites linking to it
6,378
Paid Google search
No ads found in the estimate; that does not mean it runs none
Ads on GoogleDetailLess
7 ads · 3 image, 3 text, 1 video · 5 shown in the last 30 days

First shown May 2025, as The Linux Foundation, verified. Ads started 2025-10 to 2026-09: 6 in the year, 1 before.

On Google's pages: 1 2 3 4

In answers

This edition
Share of first choices
0%
rank 20 of 73 in logs
Segment leader
28%
Datadog Log Management
First choices
0 across its categories
Named in
44 answers
Its own site cited
in 39 of the answers that named it

Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

What it publishes

ShowHide
Addresses on opensearch.org
3,454
subdomains included
Content
1,127
counted in the table below
Documentation
1,638
Product · Integration
25 · 0
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
Blog530262026-09-25SIEM
Conference or event509242026-09-23
Template or tool33undated
News or press1942026-09-22
Case study1112026-09-22
Webinar or virtual event922026-07-22
Comparison602026-06-12
Report or ebook502026-04-24
Podcast or video302026-01-21
Glossary or explainer202021-08-27
How it is countedHide how it is counted

Every page opensearch.org exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.

Names read as OpenSearch

What the judge wrote, as written, with how often. The vendor table decides that these count as OpenSearch; a claim can dispute any of them.
Elastic Stack / ELK / OpenSearch 1Elastic/OpenSearch 1OpenSearch (formerly Open Distro for Elasticsearch) 1OpenSearch/ELK-style self-managed stack 1

Follow OpenSearch

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

OpenSearch is its own company.
ShowHide

In its own words

Stated by the vendor, not checked
Positioning
The open engine for AI-powered search and observability
For
enterprise-grade applications across search, observability, security analytics, and more
Price stated
no licensing fees opensearch.org/platform
Certifications
OpenSearch Certification
Customers named
PinterestOpenInfra FoundationZoomDow JonesGoldman SachsQuantiphiWiproCoralogix
Not stated on the pages read
Starting price, free plan or trial, integrations, hosting

What OpenSearch's own pages state, read September 28, 2026: opensearch.org, opensearch.org/repositories/security, opensearch.org/platform, opensearch.org/case-studies, opensearch.org/tag/partners. A claimed page can correct any of them.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when OpenSearch's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as OpenSearch, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for OpenSearch by email, built from the raw record of the edition. It shows:

  • where OpenSearch is named, by buyer and by framing, and which cells hold its first choices;
  • the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
  • its vocabulary against the segment leader's, and the pages the models cited;
  • who was chosen in the answers that did not name OpenSearch, and every reason the record gives;
  • a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
  • one page of published figures cleared to show a buyer.
The subscriber app

A verification link goes to your work email; an address at opensearch.org is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.