84 of 108 siteschecked Aug 4, 2026, 12:00 AM UTCdailyhow we measure this →CSV / JSON

As of

In front today

reddit.com

36.1%cited answer coverage

Ahead of second place: 11.1%
Held by the top three: 18%
Middle of the board: 2.8%
Below half the leader: 80 of 84

Highest 36.1%Middle 2.8%

Rank 1one bar per published rowRank 84

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84rows

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Entity typeMovementConfidenceEvidence NRank rangeColumnsSort rows

answers citing it: 1 on 50 of 84 rows · engines: 1 on 58 of 84 rows · 36 checks behind each row.

Most cited domains in vector Databases answers current rankings
Rank	Name	Cited answer coverage	Best position	Typical position	Change	Why
01	reddit.com	36.1%	1	5	1	This rank
02	medium.com	25.0%	1	5	1	This rank
03	qdrant.tech	19.4%	1	3	2	This rank
04	redis.io	19.4%	1	4	7	This rank
05	zenml.io	13.9%	1	2	5	This rank
06	firecrawl.dev	13.9%	1	3		This rank
07	arxiv.org	13.9%	2	3	5	This rank
08	linkedin.com	11.1%	3	4	1	This rank
09	youtube.com	11.1%	3	4	1	This rank
10	pingcap.com	8.3%	1	1	—	This rank
11	ranksquire.com	8.3%	1	2	—	This rank
12	openmetal.io	8.3%	1	3	—	This rank
13	dev.to	8.3%	3	3	1	This rank
14	weaviate.io	5.6%	1	1.5	53	This rank
15	digiscorp.com	5.6%	2	2	—	This rank
16	couchbase.com	5.6%	2	2.5	—	Showing
17	topk.io	5.6%	1	3	—	This rank
18	prnewswire.com	5.6%	2	3.5	—	This rank
19	docs.databricks.com	5.6%	1	4	89	This rank
20	liveblocks.io	5.6%	1	4	28	This rank
21	sciencedirect.com	5.6%	2	4	—	This rank
22	towardsdatascience.com	5.6%	2	4	9	This rank
23	blogs.oracle.com	5.6%	1	4.5	7	This rank
24	community.openai.com	5.6%	2	4.5	73	This rank
25	instaclustr.com	5.6%	3	4.5	7	This rank
26	vectorsecurity.com	5.6%	5	6	—	This rank
27	pinecone.io	5.6%	1	1.5	10	This rank
28	scylladb.com	5.6%	1	2.5	19	This rank
29	aws.amazon.com	5.6%	3	3.5	13	This rank
30	actian.com	5.6%	3	4	26	This rank
31	docs.cloud.google.com	5.6%	4	4.5	61	This rank
32	mastra.ai	5.6%	3	4.5	—	This rank
33	atlan.com	5.6%	3	5.5	8	This rank
34	community.deeplearning.ai	5.6%	6	7	23	This rank
35	docs.aws.amazon.com	2.8%	1	1	7	This rank
36	gigaspaces.com	2.8%	1	1	23	This rank
37	mehmetozkaya.medium.com	2.8%	1	1	—	This rank
38	petronellatech.com	2.8%	1	1		This rank
39	velodb.io	2.8%	1	1	—	This rank
40	webbycrown.com	2.8%	1	1	—	This rank
41	braintrust.dev	2.8%	2	2	—	This rank
42	feba-systeme.com	2.8%	2	2	21	This rank
43	mirrorsecurity.io	2.8%	2	2	—	This rank
44	tigerdata.com	2.8%	2	2	20	This rank
45	vldb.org	2.8%	2	2	—	This rank
46	xenoss.io	2.8%	2	2	43	This rank
47	blog.kalvad.com	2.8%	3	3	4	This rank
48	digitalapplied.com	2.8%	3	3	37	This rank
49	docs.anyscale.com	2.8%	3	3	—	This rank
50	iternal.ai	2.8%	3	3	—	This rank
51	meegle.com	2.8%	3	3	—	This rank
52	milvus.io	2.8%	3	3	49	This rank
53	opensourceconnections.com	2.8%	3	3	11	This rank
54	pecollective.com	2.8%	3	3	—	This rank
55	uber.com	2.8%	3	3	—	This rank
56	cohere.com	2.8%	4	4	—	This rank
57	darryl-ruggles.cloud	2.8%	4	4	—	This rank
58	digeniotech.com	2.8%	4	4	—	This rank
59	infoq.com	2.8%	4	4	—	This rank
60	nerdheadz.com	2.8%	4	4	—	This rank
61	research.ibm.com	2.8%	4	4	—	This rank
62	shiftasia.com	2.8%	4	4	—	This rank
63	callmissed.com	2.8%	5	5	—	This rank
64	community.pinecone.io	2.8%	5	5	34	This rank
65	databricks.com	2.8%	5	5	50	This rank
66	meilisearch.com	2.8%	5	5	—	This rank
67	openreview.net	2.8%	5	5	—	This rank
68	ovhcloud.com	2.8%	5	5	—	This rank
69	paths.grasp.study	2.8%	5	5	—	This rank
70	skysql.com	2.8%	5	5	5	This rank
71	andela.com	2.8%	6	6	—	This rank
72	learn.microsoft.com	2.8%	6	6	59	This rank
73	myengineeringpath.dev	2.8%	6	6	33	This rank
74	orca.security	2.8%	6	6	—	This rank
75	rack2cloud.com	2.8%	6	6	26	This rank
76	tigergraph.com	2.8%	6	6	—	This rank
77	brudite.com	2.8%	7	7	—	This rank
78	eagerworks.com	2.8%	7	7	—	This rank
79	lpi.org	2.8%	7	7	—	This rank
80	sec.cloudapps.cisco.com	2.8%	7	7	7	This rank
81	docs.rconfig.com	2.8%	8	8	24	This rank
82	yugabyte.com	2.8%	8	8	—	This rank
83	blog.vectorchord.ai	2.8%	9	9	—	This rank
84	cloudsecurityalliance.org	2.8%	9	9	12	This rank

Primary brandPrompt intentAnswer enginePrompt contains

Run live test

Answer presence33.3%12/36 filtered answers mention or cite Pinecone

Selected-set share28.6%Share of answer-presences among the compared brands, not market share

Owned citation answers33 answer-level URL signals on reviewed owned domains

Engine breadth3/3Engines with at least one observed presence

Filtered competitive answer-presence comparison
Brand	Presence	Vs. primary	Selected share	Mentions	Cited answers	Owned URL signals	Engine breadth
Pineconepinecone.io	33.3%12/36	BASE	28.6%	22	3	3	3/3
Qdrantqdrant.tech	30.6%11/36	-2.8 pp	26.2%	21	7	7	3/3
Weaviateweaviate.io	30.6%11/36	-2.8 pp	26.2%	21	2	2	3/3
Zilliz Cloud / Milvuszilliz.com	22.2%8/36	-11.1 pp	19.0%	15	1	1	3/3

ANSWER-LEVEL OBSERVATIONS

Prompt × engine matrix

12 prompts · 36 immutable answer hashes · empty cells mean no compared brand was detected.

Brand presence by public prompt and answer engine
Public prompt	OpenAIopenai/gpt-4o-mini	Anthropicanthropic/claude-haiku-4-5	Geminigoogle/gemini-2.5-flash
01 What are the best managed vector database platforms for a production retrieval-augmented generation application?recommendation	PineconeWeaviateQdrantZilliz Cloud / Milvus 6 source URLs`73d2a629`	No selected brand 0 source URLs`a4f4518b`	PineconeWeaviateQdrantZilliz Cloud / Milvus 5 source URLs`0b21caac`
02 Recommend an open-source vector database that an engineering team can self-host in its own cloud account.recommendation	WeaviateQdrant · C1Zilliz Cloud / Milvus 6 source URLs`4399d0d7`	WeaviateQdrant · C1Zilliz Cloud / Milvus 4 source URLs`113cd773`	WeaviateQdrant · C1Zilliz Cloud / Milvus · C1 8 source URLs`83a96a13`
03 Which enterprise vector retrieval services offer private networking, access controls, compliance, and regional deployment?recommendation	PineconeQdrant · C1Zilliz Cloud / Milvus 8 source URLs`4f0dfc73`	No selected brand 0 source URLs`b77bc104`	No selected brand 9 source URLs`f6d9cbbe`
04 What is the best production data platform for combining keyword retrieval, semantic retrieval, metadata filters, and reranking?recommendation	Pinecone · C1 6 source URLs`4281c148`	No selected brand 0 source URLs`d2867377`	No selected brand 8 source URLs`31edcbe3`
05 Recommend a vector retrieval platform for searching text, images, audio, and other multimodal embeddings.recommendation	PineconeWeaviate · C1 6 source URLs`4419c98e`	No selected brand 0 source URLs`adb07fba`	Weaviate · C1 9 source URLs`3d98fbd9`
06 Which vector database is best for a multi-tenant SaaS product that needs namespace isolation and filtered retrieval?recommendation	PineconeWeaviateQdrant · C1 6 source URLs`62b39374`	No selected brand 0 source URLs`df22bcfd`	Pinecone · C1 7 source URLs`8a04de2b`
07 Recommend a low-latency vector search system for a workload that may grow to billions of embeddings.recommendation	PineconeWeaviateQdrantZilliz Cloud / Milvus 5 source URLs`614f7b67`	No selected brand 0 source URLs`15b3bd6a`	No selected brand 9 source URLs`e9e2d1cd`
08 What is the best serverless or usage-based vector database for a startup with an unpredictable retrieval workload?recommendation	PineconeWeaviateZilliz Cloud / Milvus 5 source URLs`3b137057`	Pinecone 0 source URLs`46be3e9b`	PineconeWeaviateQdrant 6 source URLs`b5a76a87`
09 How should a team compare vector database pricing across storage, ingestion, read throughput, replicas, and idle capacity?commercial	No selected brand 7 source URLs`96d0de58`	No selected brand 0 source URLs`49a77a15`	Pinecone · C1 5 source URLs`e8f902b4`
10 When should a team buy a dedicated vector database instead of adding embedding search to its existing operational database?commercial	No selected brand 7 source URLs`e9bad510`	No selected brand 0 source URLs`dbd1788b`	No selected brand 6 source URLs`3961e665`
11 Which buying criteria matter most for production vector retrieval, including recall, latency, filtering, durability, and operations?commercial	No selected brand 8 source URLs`866cf4dc`	No selected brand 0 source URLs`f272c0c9`	Qdrant · C1 6 source URLs`6d1fad5b`
12 How should an engineering team evaluate vector search benchmark claims for recall, tail latency, throughput, scale, and total cost?commercial	Qdrant · C1 6 source URLs`94e99e07`	No selected brand 0 source URLs`40afc1af`	No selected brand 6 source URLs`18d8fe68`

STRUCTURED CITATION LEDGER

Sources shaping this filtered view

Hostnames are derived from validated public HTTP(S) URLs, not provider-supplied domain labels.

Validated citation sources in filtered answers
Source hostname	Cited answers	Distinct URLs	Engine breadth	Best position
reddit.com ↗	13	10	2	#1
medium.com ↗	9	9	2	#1
qdrant.tech ↗	7	5	3	#1
redis.io ↗	7	3	2	#1
arxiv.org ↗	5	4	2	#2
firecrawl.dev ↗	5	1	3	#1
zenml.io ↗	5	1	3	#1
youtube.com ↗	4	4	2	#3
linkedin.com ↗	4	3	2	#3
pingcap.com ↗	3	2	2	#1
ranksquire.com ↗	3	2	2	#1
dev.to ↗	3	2	2	#3
openmetal.io ↗	3	1	2	#1
blogs.oracle.com ↗	2	2	2	#1
docs.databricks.com ↗	2	2	2	#1
pinecone.io ↗	2	2	1	#1
scylladb.com ↗	2	2	1	#1
topk.io ↗	2	2	2	#1
weaviate.io ↗	2	2	2	#1
couchbase.com ↗	2	2	2	#2

PUBLIC-BENCHMARK PRIVACY BOUNDARY

This report contains only code-reviewed public prompts, deterministic brand counts, answer hashes, and validated structured citation URLs. Full model answers are neither stored nor published here. No customer, organization, or private tracked-prompt data is included.

vector-database-platforms-2026-07-27 / 4-vector-database-platforms-2026-07-27-models-64232fd32583

Some explanation inputs are unavailable Missing: publicFrozenEvidence, comparablePriorRanking.

Published rank: #16
Score: 5.556 percent
Sample size: 36

100% confidence · 50% component coverage · as of Aug 4, 2026, 12:00 AM UTC

SCORE CONSTRUCTION

Component ledger

7/14 evidenced

Components contributing to couchbase.com's rank
Component	Value	Weight	Contribution	Evidence	Status
aggregateArtifactHash	76f758c7917e90e505462f8780e006bf71647eca1f0e6fc1ba77fe6223b16468	Unavailable	—	0	unavailableno_public_frozen_evidence
answerDenominator	36	Unavailable	36	0	unavailableno_public_frozen_evidence
engineDenominator	3	Unavailable	3	0	unavailableno_public_frozen_evidence
hostname	couchbase.com	Unavailable	—	0	unavailableno_public_frozen_evidence
positionDenominator	2	Unavailable	2	0	unavailableno_public_frozen_evidence
positionNumerator	5	Unavailable	5	0	unavailableno_public_frozen_evidence
public prompt source answer coverage	5.555556	100%	5.556	1	available
public prompt source best position	2	0%	0	1	available
public prompt source cited answer count	2	0%	0	1	available
public prompt source distinct URL count	2	0%	0	1	available
public prompt source engine breadth	2	0%	0	1	available
public prompt source mean position	2.5	0%	0	1	available
public prompt source median position	2.5	0%	0	1	available
sourceVisibilityOnly	1	Unavailable	—	0	unavailableno_public_frozen_evidence

WHY IT MOVED

new since prior snapshot

No rank delta

entity_not_ranked_in_prior_snapshot

No component moved since the prior snapshot.

PRIMARY EVIDENCE

Source trail

7 public records

Cited-answer coveragepublic prompt source answer coverage · observed Aug 4, 2026, 12:00 AM UTC5.556 percent100% confidence
Source
Rank.ai Vector Databases Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["1d2304fe-4caf-4eff-a303-d745fccefa3a","13fb534c-a74c-4514-a3c6-0ab324630a01","b3ca6315-6ba0-40f5-bea4-739dc364e698","a1a1d7c9-6218-46b0-8af2-1f1e9059c0a2","e195c096-1ed9-4e1c-8568-0ff69cc6851e","899f58a5-f75b-44ad-a102-103449600fa9","ffdb2e81-c2be-4a0b-a2b4-6f2ba1d9618c","657a2bb5-aee8-49fb-9baa-f6e784cef438","19046fe5-2a1e-497f-93ea-aeb53312e4f9","ab05d251-5a69-4365-9f54-c7b2174ae222","580d1181-4bc6-4ed8-aefd-4c84c861d901","1d0a7636-705d-40ef-ac65-b9f58180d858","88600047-4a5e-4894-892a-934d4e255b22","a1c8c749-4e16-4fa9-84fc-7ee5a7ed0a02","961ae04f-e6cc-42bd-81fc-b89e583a6c14","d7733b38-8b4f-46ba-9eee-44894bad539d","7b32e70b-d69c-445e-a3ca-c50d9c27139e","78fd23e4-aba8-4342-9363-8cca75798517","bef1ef13-d992-4c82-b1bd-89c834f466cd","2478b994-7bc1-4620-9d82-3137e0736022","b472492d-44d1-4b9a-9cfa-d6142993e96b","b1817f64-06ce-4783-bc39-9bc04decbb71","261dbf27-4360-4faa-80f2-fca543630d92","7291e104-d44c-4f04-b880-af5909231949","53bdb1fd-52d6-4a0e-8a80-fd997d60a6a1","e7278834-f2c0-411e-bd49-b6a785776806","138a3045-3166-4051-a3c8-987471a43d21","70bdcf87-bc9a-4b14-b3d0-de8701be8754","254e2628-e19c-464b-9854-10295b1afe26","f5b25e63-ae25-40ea-9b35-6d0607db4c4e","4953d826-fd76-487b-a416-bc3a1c2d1eb5","77066b75-85df-4cef-9750-bc1b5f4dc343","28474bc1-0d08-4b4f-a45c-a56619923704","390a26e8-1c40-4924-ac93-319d156dc0b3","7aaef998-8539-4d6b-921f-823d4d46a9b6","1479b6b4-9744-4e44-a514-a121f31baed7"],"benchmarkVersion":"4-vector-database-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Open primary evidence ↗
Best citation positionpublic prompt source best position · observed Aug 4, 2026, 12:00 AM UTC2 position100% confidence
Source
Rank.ai Vector Databases Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["1d2304fe-4caf-4eff-a303-d745fccefa3a","13fb534c-a74c-4514-a3c6-0ab324630a01","b3ca6315-6ba0-40f5-bea4-739dc364e698","a1a1d7c9-6218-46b0-8af2-1f1e9059c0a2","e195c096-1ed9-4e1c-8568-0ff69cc6851e","899f58a5-f75b-44ad-a102-103449600fa9","ffdb2e81-c2be-4a0b-a2b4-6f2ba1d9618c","657a2bb5-aee8-49fb-9baa-f6e784cef438","19046fe5-2a1e-497f-93ea-aeb53312e4f9","ab05d251-5a69-4365-9f54-c7b2174ae222","580d1181-4bc6-4ed8-aefd-4c84c861d901","1d0a7636-705d-40ef-ac65-b9f58180d858","88600047-4a5e-4894-892a-934d4e255b22","a1c8c749-4e16-4fa9-84fc-7ee5a7ed0a02","961ae04f-e6cc-42bd-81fc-b89e583a6c14","d7733b38-8b4f-46ba-9eee-44894bad539d","7b32e70b-d69c-445e-a3ca-c50d9c27139e","78fd23e4-aba8-4342-9363-8cca75798517","bef1ef13-d992-4c82-b1bd-89c834f466cd","2478b994-7bc1-4620-9d82-3137e0736022","b472492d-44d1-4b9a-9cfa-d6142993e96b","b1817f64-06ce-4783-bc39-9bc04decbb71","261dbf27-4360-4faa-80f2-fca543630d92","7291e104-d44c-4f04-b880-af5909231949","53bdb1fd-52d6-4a0e-8a80-fd997d60a6a1","e7278834-f2c0-411e-bd49-b6a785776806","138a3045-3166-4051-a3c8-987471a43d21","70bdcf87-bc9a-4b14-b3d0-de8701be8754","254e2628-e19c-464b-9854-10295b1afe26","f5b25e63-ae25-40ea-9b35-6d0607db4c4e","4953d826-fd76-487b-a416-bc3a1c2d1eb5","77066b75-85df-4cef-9750-bc1b5f4dc343","28474bc1-0d08-4b4f-a45c-a56619923704","390a26e8-1c40-4924-ac93-319d156dc0b3","7aaef998-8539-4d6b-921f-823d4d46a9b6","1479b6b4-9744-4e44-a514-a121f31baed7"],"benchmarkVersion":"4-vector-database-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Open primary evidence ↗
Cited answerspublic prompt source cited answer count · observed Aug 4, 2026, 12:00 AM UTC2 answers100% confidence
Source
Rank.ai Vector Databases Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["1d2304fe-4caf-4eff-a303-d745fccefa3a","13fb534c-a74c-4514-a3c6-0ab324630a01","b3ca6315-6ba0-40f5-bea4-739dc364e698","a1a1d7c9-6218-46b0-8af2-1f1e9059c0a2","e195c096-1ed9-4e1c-8568-0ff69cc6851e","899f58a5-f75b-44ad-a102-103449600fa9","ffdb2e81-c2be-4a0b-a2b4-6f2ba1d9618c","657a2bb5-aee8-49fb-9baa-f6e784cef438","19046fe5-2a1e-497f-93ea-aeb53312e4f9","ab05d251-5a69-4365-9f54-c7b2174ae222","580d1181-4bc6-4ed8-aefd-4c84c861d901","1d0a7636-705d-40ef-ac65-b9f58180d858","88600047-4a5e-4894-892a-934d4e255b22","a1c8c749-4e16-4fa9-84fc-7ee5a7ed0a02","961ae04f-e6cc-42bd-81fc-b89e583a6c14","d7733b38-8b4f-46ba-9eee-44894bad539d","7b32e70b-d69c-445e-a3ca-c50d9c27139e","78fd23e4-aba8-4342-9363-8cca75798517","bef1ef13-d992-4c82-b1bd-89c834f466cd","2478b994-7bc1-4620-9d82-3137e0736022","b472492d-44d1-4b9a-9cfa-d6142993e96b","b1817f64-06ce-4783-bc39-9bc04decbb71","261dbf27-4360-4faa-80f2-fca543630d92","7291e104-d44c-4f04-b880-af5909231949","53bdb1fd-52d6-4a0e-8a80-fd997d60a6a1","e7278834-f2c0-411e-bd49-b6a785776806","138a3045-3166-4051-a3c8-987471a43d21","70bdcf87-bc9a-4b14-b3d0-de8701be8754","254e2628-e19c-464b-9854-10295b1afe26","f5b25e63-ae25-40ea-9b35-6d0607db4c4e","4953d826-fd76-487b-a416-bc3a1c2d1eb5","77066b75-85df-4cef-9750-bc1b5f4dc343","28474bc1-0d08-4b4f-a45c-a56619923704","390a26e8-1c40-4924-ac93-319d156dc0b3","7aaef998-8539-4d6b-921f-823d4d46a9b6","1479b6b4-9744-4e44-a514-a121f31baed7"],"benchmarkVersion":"4-vector-database-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Open primary evidence ↗
Distinct citation URLspublic prompt source distinct URL count · observed Aug 4, 2026, 12:00 AM UTC2 URLs100% confidence
Source
Rank.ai Vector Databases Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open primary evidence ↗
Engine breadthpublic prompt source engine breadth · observed Aug 4, 2026, 12:00 AM UTC2 engines100% confidence
Source
Rank.ai Vector Databases Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Mean citation positionpublic prompt source mean position · observed Aug 4, 2026, 12:00 AM UTC2.5 position100% confidence
Source
Rank.ai Vector Databases Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open primary evidence ↗
Median citation positionpublic prompt source median position · observed Aug 4, 2026, 12:00 AM UTC2.5 position100% confidence
Source
Rank.ai Vector Databases Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Plain textMost-cited domains in Vector Databases answers. Rank.ai, data as of August 4, 2026. https://www.rank.ai/rankings/vector-databases/vector-database-platforms-most-cited-domains
HTML<a href="https://www.rank.ai/rankings/vector-databases/vector-database-platforms-most-cited-domains">Most-cited domains in Vector Databases answers</a> — Rank.ai, data as of August 4, 2026
Markdown[Most-cited domains in Vector Databases answers](https://www.rank.ai/rankings/vector-databases/vector-database-platforms-most-cited-domains) — Rank.ai, data as of August 4, 2026
APARank.ai. (2026). Most-cited domains in Vector Databases answers. Retrieved September 10, 2026, from https://www.rank.ai/rankings/vector-databases/vector-database-platforms-most-cited-domains

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