Every category where a model named LanceDB 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
Vector databases	Data platform	0%	8 of 24	0%	6	under 10 labels · led by Qdrant at 37%

Movement

This is the first edition on this tier, so no move can be computed for LanceDB 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 LanceDB across every prompt where it was named for a mid-market B2B company. Twelve 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	3	0	3
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	1	1
Mistral Small	0	0	0
DeepSeek V4 Flash	0	1	1
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	0	0
Kimi K2	0	0	0
GLM 4.7 FlashX	1	0	1
MiniMax M2.5	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

Paraphrase0 labelsNone

Comparative12 labelsNone

Budget-constrained4 labelsNone

Scale-constrained2 labelsNone

Negative4 labelsNone

First choiceAlternativeMentionNegative23 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.

“Choose LanceDB if: You need multi‑modal support (text, images, audio) with Arrow.” GLM 4.7 FlashX · Vector databases · comparative prompt · alternative

“look at Qdrant (written in Rust) or LanceDB” Gemini 3.5 Flash · Vector databases · negative prompt · alternative

“LanceDB is optimized for multimodal data” Gemini 3.5 Flash · Vector databases · comparative prompt · alternative

“Chroma and LanceDB run *in-process*” Gemini 3.5 Flash · Vector databases · 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.

No model argued against it.

Named alongside

The products named in the same answers as LanceDB, over the 23 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and LanceDB was named but was not.

ProductSame answerTook the first choice insteadHead to head

Pinecone23 of 237Not in the top three

Qdrant23 of 237Not in the top three

Weaviate23 of 232Not in the top three

pgvector19 of 239Not in the top three

Chroma18 of 230Not in the top three

Milvus16 of 231Not in the top three

Milvus / Zilliz Cloud6 of 231Not in the top three

Vespa6 of 230Not in the top three

Elasticsearch5 of 230Not in the top three

Redis5 of 230Not 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 LanceDB. 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 16 of the 23 answers that named LanceDB and are not a share of its labels.

Domains cited

encore.dev13

firecrawl.dev13

iternal.ai9

dev.to8

atlan.com6

redis.io6

medium.com5

datacamp.com4

marktechpost.com4

reddit.com4

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

Pages cited

encore.dev/articles/best-vector-databases13

firecrawl.dev/blog/best-vector-databases13

iternal.ai/insights/best-vector-databases-20269

atlan.com/know/top-vector-databases-enterprise-ai6

redis.io/blog/best-open-source-vector-databases-comparison6

dev.to/michaelaiglobal/beyond-pinecone-a-developers-deep-dive-into-the-top-10-vector-datab5

datacamp.com/blog/the-top-5-vector-databases4

sganalytics.com/blog/top-vector-databases-enterprise-ai4

Pages are listed as the models cited 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 LanceDB'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 LanceDB, 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 lancedb.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.