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Index › IT › Products › Azure AI Search · November 2026 Edition

Vector databases · Ranked

Azure AI Search

azure.com ↗

#12Best rank (enterprise)

13/14Models named it

0First choices

0Warnings

November 2026 Edition · all company sizes counted.

Ranked inVector databases #12 enterprise

Why models recommend it

“Microsoft/Azure-heavy environment | Azure AI Search”Perplexity Sonar · Paraphrase question · alternative

“Azure AI Search, AWS OpenSearch (with k-NN plugin)”MiniMax M2.5 · Negative question · alternative

What gives them pause

No model argued against it.

Also on the shortlist

The products named in the same answers as Azure AI Search, over the 26 answers that named it, and how often each was the first choice instead.

Product	Named together	Picked instead
Pinecone	25	13	View →
Weaviate	24	2	View →
Qdrant	23	3	View →
pgvector	19	2	View →
Chroma	13	0	View →
Milvus	11	0	View →
Milvus / Zilliz Cloud	10	1	View →
Elasticsearch	8	0	View →
Elasticsearch / OpenSearch	7	0	View →
LanceDB	6	0	View →

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

At a glance

Stated on Azure AI Search's own site, not checked by Gane.

Also from Azure: Azure ACR, Azure AD Conditional Access, Azure AD Graph API, Azure AI Document Intelligence, Azure AI Foundry, Azure AI Gateway and 81 more

Visit azure.com ↗

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 Azure AI Search 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 22 of the 26 answers that named Azure AI Search and are not a share of its labels.

Domains cited

g2.com11

github.com10

atlan.com9

dev.to9

sganalytics.com9

learn.microsoft.com5

parse.gl5

orczhou.com4

actian.com3

blog.milvus.io3

Sixty-eight of the sixty-eight domain citations in answers naming Azure AI Search came from a third party's page.

Pages cited

g2.com/articles/best-vector-databases11

atlan.com/know/top-vector-databases-enterprise-ai9

sganalytics.com/blog/top-vector-databases-enterprise-ai9

github.com/exploreborders/RAG_Architecture/blob/main/docs/3-technical/vector-databases.md5

parse.gl/markets/vector-database-platforms5

dev.to/devrudals/enterprise-vector-database-2026-qdrant-vs-milvus-vs-pgvector-vs-pinecone-4

learn.microsoft.com/en-us/azure/architecture/guide/technology-choices/vector-search4

orczhou.com/wp-content/uploads/2024/10/The-Forrester-Wave%E2%84%A2_-Vector-Databases-Q3-204

Pages are listed as the models cited them.

By model

How each model answered on Azure AI Search across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

Model	Alternative	Mention	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	0	0	0
Perplexity Sonar	1	0	1
Grok 4.20	0	0	0
Mistral Small	0	0	0
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	0	1	1
Qwen 3.7 Flash	0	1	1
Kimi K2	0	0	0
GLM 4.7 FlashX	0	0	0
MiniMax M2.5	1	1	2
GPT-6 Luna	0	0	0
Muse Glimmer 30B	0	0	0