Index › IT › Products › Elastic Stack / OpenSearch · November 2026 Edition
Log management · Named, not ranked

Elastic Stack / OpenSearch

elastic.co ↗

–Too few to rank
2/14Models named it
0First choices
0Warnings
November 2026 Edition · all company sizes counted.
Ranked inLog management #29 mid-market
What AI models recommend

Named, too few times to rank.

A product needs 10 labels in a category before a share is stated. Elastic Stack / OpenSearch has 2.

Why models recommend it

“For Startups/Small Teams: Start with free/open-source like ELK or AWS CloudWatch to minimize costs.”Grok 4.20 · Comparative question · alternative
“Best self-hosted option: Elastic/OpenSearch”GPT-5.4 mini · Paraphrase question · alternative

What gives them pause

No model argued against it.

Also on the shortlist

The products named in the same answers as Elastic Stack / OpenSearch, over the 2 answers that named it, and how often each was the first choice instead.

A side-by-side page exists where both products are among a category's top eight.

At a glance

Stated on Elastic Stack / OpenSearch's own site, not checked by Gane.

Visit elastic.co ↗

How this is measured

Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.

Gane sells AI visibility software. No company can pay to change a result.

Read the method →

Sources returned with these answers

The sites and pages the answers that named Elastic Stack / OpenSearch came back with. A fact about retrieval, not a cause of the answer.

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 1 of the 2 answers that named Elastic Stack / OpenSearch and are not a share of its labels.

Domains cited

coralogix.com1
drdroid.io1
logz.io1
posthog.com1
softwareadvice.com1

Five of the five domain citations in answers naming Elastic Stack / OpenSearch came from a third party's page.

Pages cited

Pages are listed as the models cited them.

By model

How each model answered on Elastic Stack / OpenSearch across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ModelFirst choiceAlternativeMentionWarningLabels
Claude Haiku 4.500000
GPT-5.4 mini01001
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.2001001
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00000