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Index › IT › Products › Deep Lake · November 2026 Edition

2 categories · Named, not ranked

Deep Lake

–Too few to rank

3/14Models named it

0First choices

1Warnings

November 2026 Edition · all company sizes counted.

Ranked inML platforms #114 mid-market Vector databases #31

What AI models recommend

Named, too few times to rank.

A product needs 10 labels in a category before a share is stated. Deep Lake has 2.

Why models recommend it

No positive label carried a quote.

What gives them pause

“Vulnerabilities were broken down for projects including Weave, ZenML, Deep Lake, Vanna.AI, and Mage AI”Muse Glimmer 30B · Negative question · warning

Also on the shortlist

The products named in the same answers as Deep Lake, over the 3 answers that named it, and how often each was the first choice instead.

Product	Named together	Picked instead
Pinecone	2	1	View →
pgvector	2	1	View →
Chroma	2	0	View →
Milvus	2	0	View →
Qdrant	2	0	View →
Weaviate	2	0	View →
Amazon SageMaker	1	0	View →
Azure Machine Learning	1	0	View →
BigML	1	0	View →
ChatGPT	1	0	View →

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

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 Deep Lake 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 3 of the 3 answers that named Deep Lake and are not a share of its labels.

Domains cited

github.com2

ai21.com1

aimultiple.com1

cisa.gov1

cognee.ai1

dagshub.com1

db-engines.com1

dl.acm.org1

docs.aws.amazon.com1

drdroid.io1

No domain is on file for Deep Lake, so its own site is not marked.

Pages cited

ai21.com/knowledge/ai-data-privacy1

aimultiple.com/open-source-vector-databases1

cisa.gov/news-events/cybersecurity-advisories/aa26-251a1

cognee.ai/best-vector-database1

dagshub.com/blog/top-deep-learning-platforms1

db-engines.com/en/ranking/vector+dbms1

dl.acm.org/doi/10.1007/s00778-024-00864-x1

docs.aws.amazon.com/ko_kr/wellarchitected/latest/machine-learning-lens/mlsec03-bp05.md1

Pages are listed as the models cited them.

By model

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

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