Gane Index

All indexesEvery index and its categories GTMMarketing, sales, customer and revenue operations software ITSecurity, IT operations, cloud, developer and data software HRHR, payroll, recruiting, performance and learning software FinanceAccounting, planning, spend, billing and treasury software

Claim your listing

Index › IT › Data platform › Vector databases › Small business · November 2026 Edition

Vector databases for small business buyers

Name: AI model recommendations for vector databases for small business buyers, November 2026 Edition
Creator: Gane
Published: 2026-11-01
License: https://creativecommons.org/licenses/by/4.0/

Asked as “vector database”, and as “vector search database for AI applications”, on behalf of a small B2B company. 69 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.

Standing · first-choice share

35%

pgvector

Contested · Qdrant 29%

35pgvector29Qdrant19Pinecone17others

35% of first choices, contested.

Since October 2026▼−14Since October 2026: 49% → 35%, −14 points. Past the 11-point floor: movement.pgvector held the lead, −14 points on 49%, past the floor.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.

Small business

pgvector35%Contested▼−14Since October 2026: 49% → 35%, −14 points. Past the 11-point floor: movement.This page Mid-market

Qdrant34%Contested↗new leaderNew leader since October 2026: Qdrant (34%) replaces pgvector (35% then, 34% now), 0 points clear, inside the 11-point floor.Standing →Enterprise

Pinecone45%Clear leader▼−14Since October 2026: 59% → 45%, −14 points. Past the 11-point floor: movement.Standing →

The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a small B2B company. Ordered by share.

ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026

pgvector0%69endorsed leader▼−14Since October 2026: 49% → 35%, −14 points. Past the 11-point floor: movement.49% → 35%

Qdrant6%77accepted challenger▲+12Since October 2026: 17% → 29%, +12 points. Past the 11-point floor: movement.17% → 29%

Pinecone35%77criticized challenger▼−5Since October 2026: 24% → 19%, −5 points. Inside the 11-point floor: within noise.24% → 19%

Weaviate22%60accepted challenger▼−1Since October 2026: 5% → 4%, −1 point. Inside the 11-point floor: within noise.5% → 4%

Chroma21%52accepted challenger▼−1Since October 2026: 5% → 4%, −1 point. Inside the 11-point floor: within noise.5% → 4%

Milvus59%32criticized challenger▲+1Since October 2026: 0% → 1%, +1 point. Inside the 11-point floor: within noise.0% → 1%

Show the three products at 0%, ordered by negative rate

09FAISS70%10criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%

Milvus / Zilliz Cloud70%10criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%

LanceDB6%16accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%

The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. How the floor is measured

Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.

Head to head

Qdrant vs pgvector Qdrant vs Pinecone Qdrant vs Weaviate

Head-to-head pages are published for mid-market buyers, so these open on mid-market figures, not small business.

All fifteen head-to-head pages: the top six products, each against each

Qdrant vs Milvus Qdrant vs Elasticsearch pgvector vs Pinecone pgvector vs Weaviate pgvector vs Milvus pgvector vs Elasticsearch Pinecone vs Weaviate Pinecone vs Milvus Pinecone vs Elasticsearch Weaviate vs Milvus Weaviate vs Elasticsearch Milvus vs Elasticsearch

Recommended versus criticized

Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.

Criticized challengerCriticized default

Negative label rate →

F09

Accepted challengerEndorsed leader

0%First-choice share → · lines at 30% share and 25% negative50%

Key

pgvector35%

Qdrant29%

Pinecone19%

Weaviate4%

Chroma4%

Milvus1%

LanceDB0%

Milvus / Zilliz Cloud0%

09FAISS0%

What they warned about

Three of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.20, Mistral Small, Llama 4 Maverick, Qwen 3.7 Flash, GLM 4.7 FlashX, MiniMax M2.5 and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.

Pinecone

35%

27 of 77 labels negative · 14 of 14 models · 9 hard negative

“Avoid for now: Fully managed enterprise vector databases like Pinecone or Weaviate Cloud initially.” Qwen 3.7 Flash, budget prompt

Milvus

59%

19 of 32 labels negative · 13 of 14 models · 6 hard negative

“Over-Engineered Distributed Systems (Avoid Until Scale) Examples: Milvus (self-hosted)” Qwen 3.7 Flash, negative prompt

Weaviate

22%

13 of 60 labels negative · 11 of 14 models · 3 hard negative

“Avoid for now: Fully managed enterprise vector databases like Pinecone or Weaviate Cloud initially.” Qwen 3.7 Flash, budget prompt

Chroma

21%

11 of 52 labels negative · 6 of 14 models · 4 hard negative

“not ideal for production due to potential stability issues, limited scalability, and security concerns” Grok 4.20, negative prompt

What they cite

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.

Sites the answers cite

70 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 689 links across 202 sites, every framing counted. Ranked by the number of answers carrying the site or page. 35 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.

github.com

vendor site · GitHub38 answers · 76 citations · 11 models

g2.com

vendor site · G227 answers · 32 citations · 9 models

dev.to

23 answers · 31 citations · 8 models

linkedin.com

vendor site · LinkedIn20 answers · 29 citations · 8 models

qdrant.tech

vendor site · Qdrant15 answers · 17 citations · 8 models

geekflare.com

15 answers · 15 citations · 8 models

dupple.com

13 answers · 13 citations · 9 models

resources.rework.com

vendor site · Rework12 answers · 16 citations · 8 models

pinecone.io

vendor site · Pinecone12 answers · 13 citations · 4 models

gane.ai/index

publisher (Gane)12 answers · 12 citations · 7 models

pingcap.com

12 answers · 12 citations · 7 models

liveblocks.io

10 answers · 10 citations · 5 models

Pages the answers cite

The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.

g2.com/articles/best-vector-databases

22 answers · 9 models

geekflare.com/open-source/vector-database

15 answers · 8 models

dupple.com/learn/best-vector-databases

13 answers · 9 models

gane.ai/index/it/it-data/vector-databases/smb

12 answers · 7 models

github.com/johnxie/awesome-code-docs/blob/main/tutorials/anything-llm-tutor…

10 answers · 7 models

liveblocks.io/blog/whats-the-best-vector-database-for-building-ai-products

10 answers · 5 models

g2.com/categories/vector-database/small-business

9 answers · 5 models

mixpeek.com/curated-lists/best-vector-databases

9 answers · 7 models

linkedin.com/posts/e-gowtham_vectordatabase-rag-ai-activity-748029146982054…

8 answers · 6 models

riferrei.com/posts/2025-11-24-to-vector-or-not-to-vector-that-is-the-question

8 answers · 7 models

Search against answers

Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best vector database”, “vector database”, “vector databases”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.

Company and products	Share	Own site cited	Name searches, Google	AI search demand, est.	Organic visits	Paid search a month, est.	Google ads, last 30 days	Best Google position
pgvector pgvector.app	35%	172	5,400	119
Qdrant qdrant.tech	29%	186	6,600	180	8,064		24
Pinecone pinecone.io	19%	188	60,500	3,929	90,633		14	4
Weaviate weaviate.io	4%	158	2,900	54	5,054
Chroma trychroma.com	4%	95	33,100	7,156	2,101		0
PostgreSQL postgresql.org PostgreSQL plus `pgvector` 1%, PostgreSQL with the pgvector extension 1%	3%	2	74,000	14,143	465,585 company
Zilliz Cloud zilliz.com	1%	26	140	2	11,801		24	7
MongoDB mongodb.com MongoDB Atlas Vector Search 1%	1%	26	74,000	9,630	342,632 company	$8,625	120
ChromaDB chromadb.dev	1%	13	4,400	116
Milvus milvus.io	1%	96	3,600	169	52,360

Google's top ten for the three searches hold 16 sites; 3 of them are among the sites the models cited here (g2.com, liveblocks.io, pinecone.io). The first result for “best vector database” is zenml.io.

How they answered

Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.

ShowHide

ModelDirect“What is the best vector database for a small B2B company?”Paraphrase“Which vector search database for AI applications would you recommend to a small business that sells to other businesses?”Comparative“What are the top vector databases for a small team and how do they differ?”Budget-constrained“What is the best vector database for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a vector database. What should we look at?”Negative“Which vector databases should a small business avoid or be cautious about?”

Claude Haiku 4.5Pinecone, Qdrant

One alternative

Supabase Vector

Pinecone, WeaviateChanged

One alternative

Qdrant

Pinecone, Qdrant

Three alternatives

Chroma, Weaviate, pgvector

against: MilvusChroma, Qdrant

Two alternatives

Pinecone, Supabase pgvector

no first choiceagainst: Milvus, Pinecone, Weaviate

GPT-5.4 miniPinecone, Qdrant

Two alternatives

Milvus, Weaviate

PineconeChanged

Three alternatives

Milvus, Weaviate, pgvector

Qdrant

Five alternatives

Chroma, Milvus, Pinecone, Weaviate, pgvector

Qdrant, pgvector

One alternative

Weaviate

against: Pineconeno first choiceagainst: Milvus, Pinecone, Qdrant, Weaviate

Gemini 3.5 FlashQdrant, pgvector

Two alternatives

ChromaDB, Pinecone

pgvectorChanged

Two alternatives

Pinecone, Qdrant

pgvector

Five alternatives

ChromaDB, LanceDB, Pinecone, Qdrant, Weaviate

Qdrant, pgvector

Two alternatives

Chroma, LanceDB

against: Milvus, PineconeQdrant

Four alternatives

LanceDB, Pinecone, Weaviate, pgvector

against: Milvusagainst: Elasticsearch, FAISS, Milvus, OpenSearch, ScaNN, Vespa

Perplexity SonarPostgreSQL with the pgvector extension

Three alternatives

Pinecone, Qdrant, Weaviate

PostgreSQL plus `pgvector`Changed

Four alternatives

MongoDB Atlas Vector Search, Pinecone, Qdrant, Weaviate

Pinecone, Qdrant, pgvector

Two alternatives

Chroma, Weaviate

against: Milvus / Zilliz Cloudpgvector

One alternative

Qdrant

against: Chroma, Pineconepgvectoragainst: Chroma, FAISS, Milvus, Pinecone, Qdrant, Weaviate

Grok 4.20Pinecone, pgvector

Two alternatives

Chroma, Qdrant

against: Milvus / Zilliz Cloud, WeaviatePineconeChanged

One alternative

pgvector

against: Chroma, Milvus / Zilliz Cloud, Qdrant, WeaviatePinecone, pgvector

Three alternatives

Chroma, Qdrant, Weaviate

against: Milvuspgvector

Three alternatives

Chroma, Qdrant, Weaviate

against: FAISS, Pineconeno first choice

Six alternatives

LanceDB, Milvus / Zilliz Cloud, Qdrant, SingleStore, Weaviate, pgvector

against: Pineconeagainst: Chroma, FAISS, Milvus, Pinecone, Qdrant

Mistral Smallpgvector

Two alternatives

Pinecone, Qdrant

PineconeChanged

Three alternatives

Qdrant, Weaviate, pgvector

Chroma, Qdrant

Three alternatives

LanceDB, Weaviate, pgvector

against: Milvus / Zilliz CloudQdrant, pgvector

One alternative

Chroma

against: Pineconeno first choiceagainst: Chroma, Milvus, Pinecone, Weaviate

DeepSeek V4 Flashpgvector

One alternative

Qdrant

against: Chroma, LanceDB, PineconepgvectorHeld

Six alternatives

Cloudflare Vectorize, MongoDB Atlas Vector Search, Neon, Qdrant, Supabase pgvector, Weaviate

against: PineconePinecone, Qdrant, pgvector

Two alternatives

Chroma, Weaviate

ChromaDB, pgvector

One alternative

Qdrant

against: Milvus, PineconeQdrant, Weaviate, pgvectoragainst: Chroma, Pineconeagainst: ChromaDB, FAISS, Milvus / Zilliz Cloud, Pinecone

Llama 4 MaverickMilvus

Three alternatives

Pinecone, Qdrant, pgvector

PineconeChanged

Four alternatives

Chroma, Qdrant, TiDB, pgvector

Qdrant, Weaviate

Three alternatives

Chroma, LanceDB, pgvector

Qdrant

Two alternatives

Pinecone, pgvector

no first choiceagainst: Milvus, Pinecone

Qwen 3.7 Flashpgvector

Two alternatives

Pinecone, Qdrant

Pinecone, QdrantChanged

One alternative

pgvector

Pinecone, Qdrant

Three alternatives

Chroma, Weaviate, pgvector

Chroma

Four alternatives

DuckDB, LanceDB, Qdrant, pgvector

against: Pinecone, WeaviatePinecone, Zilliz Cloud

Five alternatives

Chroma, Qdrant, Supabase pgvector, Weaviate, pgvector

against: Milvus, Weaviate OSSagainst: ChromaDB, ElasticSearch Vector Search, LiteLLM, Milvus, Pinecone, SQLite VSS, Weaviate, Zilliz Cloud

Kimi K2pgvector

Three alternatives

Chroma, Pinecone, Qdrant

pgvectorHeld

Two alternatives

Pinecone, Qdrant

against: ChromaQdrant

Four alternatives

Chroma, Pinecone, Weaviate, pgvector

Chroma, pgvector

Two alternatives

Milvus, Qdrant

Pinecone, Qdrant, pgvector

Two alternatives

Weaviate, Zilliz Cloud

against: Chroma, Cloudflare Vectorizeagainst: FAISS, Milvus, Pinecone, Weaviate

GLM 4.7 FlashXQdrant

Three alternatives

LanceDB, Milvus / Zilliz Cloud, Pinecone

MongoDB Atlas Vector SearchChanged

Three alternatives

Pinecone, Weaviate, pgvector

Pinecone, Qdrant

Three alternatives

Chroma, Weaviate, pgvector

pgvector

Two alternatives

Chroma, Qdrant

Qdrant

Three alternatives

Chroma, Pinecone, Weaviate

against: Milvusagainst: Annoy, Apache Cassandra, Azure Cosmos DB, FAISS, HNSWlib, Milvus, MongoDB Atlas Vector Search, Pinecone, Turbopuffer, Weaviate

MiniMax M2.5Qdrant, Weaviate

One alternative

pgvector via Supabase

against: Cloudflare Vectorize, PineconePinecone, QdrantChanged

One alternative

pgvector

Chroma, pgvector

Two alternatives

Pinecone, Qdrant

against: WeaviateQdrant

Two alternatives

Milvus, pgvector

no first choiceagainst: Pinecone

GPT-6 Lunapgvector

Two alternatives

Pinecone, Qdrant

pgvectorHeld

Three alternatives

Pinecone, Qdrant, Supabase pgvector

Supabase pgvector

Three alternatives

Pinecone, Qdrant, Weaviate

against: Chromapgvector

Two alternatives

Qdrant, Weaviate Flex

pgvector

Three alternatives

Pinecone, Qdrant, Weaviate

against: Chroma, Milvus, Pinecone, Weaviate

Muse Glimmer 30BQdrant

Four alternatives

Chroma, Pinecone, Weaviate, pgvector

PineconeChanged

Four alternatives

Chroma, Qdrant, Weaviate, pgvector

no first choice

Five alternatives

Chroma, Pinecone, Qdrant, Weaviate, pgvector

against: Milvus / Zilliz CloudQdrant

Two alternatives

Chroma, pgvector

against: PineconeQdrant

Five alternatives

Chroma, Pinecone, TypeSense, Weaviate, pgvector

against: Milvusagainst: ChromaDB, Milvus / Zilliz Cloud, Pinecone, Qdrant, Weaviate

Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.

Eighty-four rows: every prompt, every model, every answer.

Prompt	Model	Version string	Time (UTC)	Searched	Sources	Latency
Direct recommendation	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-11-01 10:57	no	0	5 s
Direct recommendation	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-11-01 16:07	yes	2	6 s
Direct recommendation	Gemini 3.5 Flash	`gemini-3.6-flash` (asked for `gemini-3.5-flash`; the API answered as this version)	2026-11-01 11:14	no	0	14 s
Direct recommendation	Perplexity Sonar	`sonar`	2026-11-01 12:09	yes	10	3 s
Direct recommendation	Grok 4.20	`spacexai/grok-4.20-non-reasoning via xai`	2026-11-01 19:38	yes	9	10 s
Direct recommendation	Mistral Small	`mistral/mistral-small via mistral`	2026-11-01 09:32	yes	5	4 s
Direct recommendation	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via deepinfra`	2026-11-01 10:22	yes	20	23 s
Direct recommendation	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-11-01 16:05	yes	5	3 s
Direct recommendation	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-11-01 14:54	no	0	24 s
Direct recommendation	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-11-01 14:18	yes	10	39 s
Direct recommendation	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-11-01 17:44	yes	20	64 s
Direct recommendation	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-11-01 14:54	yes	10	27 s
Direct recommendation	GPT-6 Luna	`gpt-6-luna`	2026-11-01 15:08	yes	3	10 s
Direct recommendation	Muse Glimmer 30B	`meta/muse-glimmer-30b via togetherai`	2026-11-01 15:59	yes	14	20 s
Paraphrase	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-11-01 19:15	no	0	6 s
Paraphrase	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-11-01 12:02	yes	4	5 s
Paraphrase	Gemini 3.5 Flash	`gemini-3.6-flash` (asked for `gemini-3.5-flash`; the API answered as this version)	2026-11-01 08:46	no	0	14 s
Paraphrase	Perplexity Sonar	`sonar`	2026-11-01 16:49	yes	10	3 s
Paraphrase	Grok 4.20	`spacexai/grok-4.20-non-reasoning via xai`	2026-11-01 19:38	yes	5	12 s
Paraphrase	Mistral Small	`mistral/mistral-small via mistral`	2026-11-01 17:08	yes	5	6 s
Paraphrase	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via deepinfra`	2026-11-01 19:04	yes	20	37 s
Paraphrase	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-11-01 11:21	yes	5	3 s
Paraphrase	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-11-01 18:57	yes	10	36 s
Paraphrase	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-11-01 11:35	yes	20	20 s
Paraphrase	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-11-01 10:37	yes	15	28 s
Paraphrase	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-11-01 08:56	yes	5	24 s
Paraphrase	GPT-6 Luna	`gpt-6-luna`	2026-11-01 12:55	yes	3	12 s
Paraphrase	Muse Glimmer 30B	`meta/muse-glimmer-30b via togetherai`	2026-11-01 11:31	yes	14	18 s
Comparative	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-11-01 09:23	yes	9	9 s
Comparative	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-11-01 16:37	yes	4	7 s
Comparative	Gemini 3.5 Flash	`gemini-3.6-flash` (asked for `gemini-3.5-flash`; the API answered as this version)	2026-11-01 09:51	no	0	17 s
Comparative	Perplexity Sonar	`sonar`	2026-11-01 13:47	yes	10	5 s
Comparative	Grok 4.20	`spacexai/grok-4.20-non-reasoning via xai`	2026-11-01 18:52	yes	5	11 s
Comparative	Mistral Small	`mistral/mistral-small via mistral`	2026-11-01 11:37	yes	5	8 s
Comparative	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via deepinfra`	2026-11-01 17:32	yes	25	40 s
Comparative	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-11-01 18:26	yes	5	3 s
Comparative	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-11-01 09:17	yes	5	18 s
Comparative	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-11-01 10:08	yes	10	23 s
Comparative	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-11-01 09:22	yes	15	26 s
Comparative	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-11-01 08:37	yes	10	19 s
Comparative	GPT-6 Luna	`gpt-6-luna`	2026-11-01 09:41	yes	8	22 s
Comparative	Muse Glimmer 30B	`meta/muse-glimmer-30b via togetherai`	2026-11-01 12:52	yes	13	23 s
Budget constrained	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-11-01 18:03	no	0	6 s
Budget constrained	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-11-01 16:37	yes	4	6 s
Budget constrained	Gemini 3.5 Flash	`gemini-3.6-flash` (asked for `gemini-3.5-flash`; the API answered as this version)	2026-11-01 11:07	no	0	15 s
Budget constrained	Perplexity Sonar	`sonar`	2026-11-01 15:40	yes	10	4 s
Budget constrained	Grok 4.20	`spacexai/grok-4.20-non-reasoning via xai`	2026-11-01 14:51	yes	5	7 s
Budget constrained	Mistral Small	`mistral/mistral-small via mistral`	2026-11-01 17:45	yes	5	6 s
Budget constrained	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via deepinfra`	2026-11-01 14:56	yes	20	18 s
Budget constrained	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-11-01 13:30	yes	5	3 s
Budget constrained	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-11-01 13:47	yes	10	22 s
Budget constrained	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-11-01 17:58	yes	10	20 s
Budget constrained	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-11-01 18:17	yes	10	29 s
Budget constrained	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-11-01 19:23	yes	5	12 s
Budget constrained	GPT-6 Luna	`gpt-6-luna`	2026-11-01 12:33	yes	3	8 s
Budget constrained	Muse Glimmer 30B	`meta/muse-glimmer-30b via togetherai`	2026-11-01 09:40	yes	14	20 s
Scale constrained	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-11-01 15:29	no	0	7 s
Scale constrained	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-11-01 12:14	no	0	4 s
Scale constrained	Gemini 3.5 Flash	`gemini-3.6-flash` (asked for `gemini-3.5-flash`; the API answered as this version)	2026-11-01 09:06	no	0	17 s
Scale constrained	Perplexity Sonar	`sonar`	2026-11-01 14:47	yes	10	8 s
Scale constrained	Grok 4.20	`spacexai/grok-4.20-non-reasoning via xai`	2026-11-01 16:15	yes	5	15 s
Scale constrained	Mistral Small	`mistral/mistral-small via mistral`	2026-11-01 10:05	no	0	7 s
Scale constrained	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via deepinfra`	2026-11-01 13:28	yes	25	34 s
Scale constrained	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-11-01 08:58	yes	5	2 s
Scale constrained	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-11-01 11:14	no	0	28 s
Scale constrained	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-11-01 09:03	yes	10	44 s
Scale constrained	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-11-01 09:15	yes	10	25 s
Scale constrained	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-11-01 09:27	no	0	18 s
Scale constrained	GPT-6 Luna	`gpt-6-luna`	2026-11-01 15:16	yes	3	25 s
Scale constrained	Muse Glimmer 30B	`meta/muse-glimmer-30b via togetherai`	2026-11-01 19:11	yes	15	22 s
Negative framing	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-11-01 09:56	yes	18	10 s
Negative framing	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-11-01 19:06	yes	4	6 s
Negative framing	Gemini 3.5 Flash	`gemini-3.6-flash` (asked for `gemini-3.5-flash`; the API answered as this version)	2026-11-01 10:45	yes	7	20 s
Negative framing	Perplexity Sonar	`sonar`	2026-11-01 12:03	yes	10	4 s
Negative framing	Grok 4.20	`spacexai/grok-4.20-non-reasoning via xai`	2026-11-01 19:42	yes	10	12 s
Negative framing	Mistral Small	`mistral/mistral-small via mistral`	2026-11-01 17:03	yes	5	4 s
Negative framing	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via deepinfra`	2026-11-01 09:13	yes	24	26 s
Negative framing	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-11-01 13:17	yes	5	3 s
Negative framing	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-11-01 19:27	yes	10	30 s
Negative framing	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-11-01 12:59	yes	25	34 s
Negative framing	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-11-01 14:03	yes	15	67 s
Negative framing	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-11-01 16:35	yes	5	39 s
Negative framing	GPT-6 Luna	`gpt-6-luna`	2026-11-01 08:59	yes	5	17 s
Negative framing	Muse Glimmer 30B	`meta/muse-glimmer-30b via togetherai`	2026-11-01 16:30	yes	14	29 s

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

ShowHide

Category-scoped readings

MongoDB Atlas read as MongoDB Atlas Vector Search

PostgreSQL read as pgvector

PostgreSQL (pgvector) read as pgvector

Redis read as Redis Vector Search

Supabase read as Supabase pgvector

Unresolved, counted raw

AWS OpenSearch with k-NN

AWS OpenSearch with vector support

ElasticSearch Vector Search

Elasticsearch BM25

Milvus Cloud

Postgres full-text search

Qdrant Community

SQLite VSS

Weaviate Flex

Zilliz Dedicated

pgvector via Supabase

Discontinued, still offered

No shut-down product was recommended here.

Vector databases for small business buyers

By buyer segment

The standing

Recommended versus criticized

What they warned about

What they cite

Sites the answers cite

Pages the answers cite

Search against answers

How they answered

The record

Normalization in this category

Also in data platform