IT AI Index

Index › Vendors › OpenSearch · September 2026 Edition

2 categories · Named, not ranked

OpenSearch

27Judge labels

0First choices

13Negative labels

10 of 12Models named it

2Categories

September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.

Standing

6 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. OpenSearch was named 6 times in Logs and 1 other category, where Datadog Log Management led with 20%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business41 of 53

under the label threshold

Mid-market24 of 59

under the label threshold

Enterprise53 of 54

under the label threshold

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.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
Log management	IT operations and endpoint	0%	24 of 59	20%	5	under 10 labels · led by Datadog Log Management at 20%
Observability platforms	IT operations and endpoint	0%	61 of 63	100%	1	under 10 labels · led by Grafana at 29%

Movement

This is the first edition on this tier, so no move can be computed for OpenSearch yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated OpenSearch across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	0	0	0	0
GPT-5.4 mini	0	0	0	0
Gemini 3.5 Flash	1	0	2	3
Perplexity Sonar	0	0	0	0
Grok 4.1 Fast	1	0	0	1
Mistral Small	0	0	0	0
DeepSeek V4 Flash	1	0	0	1
Llama 4 Maverick	0	0	0	0
Qwen 3.7 Flash	0	0	0	0
Kimi K2	0	0	0	0
GLM 4.7 FlashX	0	1	0	1
MiniMax M2.5	0	0	0	0

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

Direct1 labelNone

Paraphrase1 labelNone

Comparative4 labelsNone

Budget-constrained5 labelsNone

Scale-constrained3 labelsNone

Negative13 labelsNone

First choiceAlternativeMentionNegative27 labels in all, every segment counted; 0 of the 0 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.

“If you want an ELK-compatible stack without this drama, look at OpenSearch or Logz.io” DeepSeek V4 Flash · Logs · negative prompt · alternative

“OpenSearch is the popular, AWS-supported open-source fork of the Elastic Stack.” Gemini 3.5 Flash · Logs · comparative prompt · alternative

“OpenSearch fork keeps it fully OSS post-Elastic's license change.” Grok 4.1 Fast · Logs · budget 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.

“Avoid self-hosting ELK/OpenSearch if you are on a tight budget.” Gemini 3.5 Flash · Logs · budget prompt · hard negative

“Self-Hosted "DIY" Open-Source Stacks (e.g., Prometheus, Grafana, OpenSearch)” Gemini 3.5 Flash · Observability · negative prompt · soft negative

Named alongside

The products named in the same answers as OpenSearch, over the 27 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.

ProductSame answerTook the first choice insteadHead to head

Elastic Stack17 of 271Not in the top three

Splunk16 of 270Not in the top three

Graylog14 of 270Not in the top three

Datadog Log Management13 of 270Not in the top three

Grafana Loki12 of 273Not in the top three

Better Stack10 of 276Not in the top three

SolarWinds Papertrail8 of 272Not in the top three

OpenObserve8 of 270Not in the top three

New Relic Logs7 of 270Not in the top three

SigNoz6 of 270Not in the top three

A head-to-head page exists where both products are in a category's top three. 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, four of the twelve in this edition, so these counts come from 18 of the 27 answers that named OpenSearch and are not a share of its labels.

Domains cited

openobserve.ai9

dash0.com8

reddit.com8

logz.io7

g2.com6

toolradar.com6

signoz.io5

uptrace.dev5

401clicks.com4

betterstack.com4

Sixty-two of the sixty-two domain citations in answers naming OpenSearch came from somebody else's page.

Pages cited

openobserve.ai/blog/log-management-tools8

dash0.com/comparisons/best-log-management-tools7

blogs.fluencysecurity.com/siem-for-smbs4

exabeam.com/explainers/log-management/top-6-log-management-tools-and-how-to-choose4

reddit.com/r/cybersecurity/comments/1b80zza/best_siem_solution_for_small_company4

subrupt.com/best/log-management4

401clicks.com/blog/best-log-management-tools-for-small-teams-in-20263

apistatuscheck.com/blog/best-log-management-tools-20263

Pages are listed as the models cited them.

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.

ELK/OpenSearch 1

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.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at opensearch.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.