Category intelligence / infrastructure
Vector databases
Managed, open-source, and hyperscaler vector retrieval platforms ranked across a fixed buying corpus—with brand, prompt, engine, and citation-source views.
Evidence catalog
Open category terminal →Live Vector DBs tables
| Table | Coverage | Confidence | Freshness | Cadence | Updated | Open |
|---|---|---|---|---|---|---|
| Vector database platform rankReviewed vector retrieval platforms ranked by recommendation-prompt presence across three configured model APIs. | 16 | 100% | current | Daily | Jul 27, 2026 | View table → |
| Vector database platform presenceReviewed platforms ranked by presence across every answer in the complete category prompt-and-engine cohort. | 16 | 100% | current | Daily | Jul 27, 2026 | View table → |
| Vector database citation shareReviewed platforms ranked by distinct answer-level citations to their canonical domains. | 16 | 100% | current | Daily | Jul 27, 2026 | View table → |
| Vector database engine breadthReviewed platforms ranked by the number of configured model APIs on which they appear. | 16 | 100% | current | Daily | Jul 27, 2026 | View table → |
| Vector databases in OpenAI model API answersPlatform presence in the fixed OpenAI configured-model API cohort; not the ChatGPT consumer application. | 16 | 100% | current | Daily | Jul 27, 2026 | View table → |
| Vector databases in Anthropic model API answersPlatform presence in the fixed Anthropic configured-model API cohort; not the Claude consumer application. | 16 | 100% | current | Daily | Jul 27, 2026 | View table → |
| Vector databases in Gemini model API answersPlatform presence in the fixed Gemini configured-model API cohort; not the Gemini consumer application. | 16 | 100% | current | Daily | Jul 27, 2026 | View table → |
| Vector database buying-prompt leadersThe leading reviewed platform for every neutral buying prompt, with exact cross-engine consensus. | 12 | 100% | current | Daily | Jul 27, 2026 | View table → |
| Vector database engine disagreementBuying prompts ranked by how differently the configured engines surface the reviewed platform universe. | 12 | 100% | current | Daily | Jul 27, 2026 | View table → |
| Most-cited domains for vector database buying promptsURL-derived citation hostnames ranked by complete-cohort cited-answer coverage, breadth, and position. | 108 | 100% | current | Daily | Jul 27, 2026 | View table → |
Latest
Open full board →Current category leaders
| Rank | Entity | Published value | Movement | Confidence | Signal | Profile |
|---|---|---|---|---|---|---|
| 01 | Pineconecompany | 66.7% | — | 100% | — | Evidence → |
| 02 | Weaviatecompany | 62.5% | — | 100% | — | Evidence → |
| 03 | Qdrantcompany | 58.3% | — | 100% | — | Evidence → |
| 04 | Zilliz Cloud / Milvuscompany | 50.0% | — | 100% | — | Evidence → |
| 05 | Rediscompany | 20.8% | — | 100% | — | Evidence → |
| 06 | Chromacompany | 20.8% | — | 100% | — | Evidence → |
| 07 | Azure AI Searchcompany | 20.8% | — | 100% | — | Evidence → |
| 08 | Elasticsearchcompany | 16.7% | — | 100% | — | Evidence → |
| 09 | Vespacompany | 16.7% | — | 100% | — | Evidence → |
| 10 | Amazon OpenSearch Servicecompany | 12.5% | — | 100% | — | Evidence → |
| 11 | MongoDB Atlas Vector Searchcompany | 8.3% | — | 100% | — | Evidence → |
| 12 | Turbopuffercompany | 4.2% | — | 100% | — | Evidence → |
| 13 | Cloudflare Vectorizecompany | 4.2% | — | 100% | — | Evidence → |
| 14 | Google Vertex AI Vector Searchcompany | 4.2% | — | 100% | — | Evidence → |
| 15 | LanceDBcompany | 4.2% | — | 100% | — | Evidence → |
| 16 | Supabase Vectorcompany | 4.2% | — | 100% | — | Evidence → |
Corpus vector-database-platforms-2026-07-27 / 3 providers
Test your own prompt →Questions shaping this market
| Buyer prompt | Intent | Current leader | Answers | Providers | Citations | Owned citations | Challenge |
|---|---|---|---|---|---|---|---|
| What are the best managed vector database platforms for a production retrieval-augmented generation application? | recommendation | Weaviate · 7 | 3 | 3 | 11 | 0 | Run live → |
| Recommend an open-source vector database that an engineering team can self-host in its own cloud account. | recommendation | Qdrant · 8 | 3 | 3 | 17 | 6 | Run live → |
| Which enterprise vector retrieval services offer private networking, access controls, compliance, and regional deployment? | recommendation | Qdrant · 4 | 3 | 3 | 20 | 5 | Run live → |
| What is the best production data platform for combining keyword retrieval, semantic retrieval, metadata filters, and reranking? | recommendation | Weaviate · 9 | 3 | 3 | 22 | 2 | Run live → |
| Recommend a vector retrieval platform for searching text, images, audio, and other multimodal embeddings. | recommendation | Weaviate · 9 | 3 | 3 | 13 | 5 | Run live → |
| Which vector database is best for a multi-tenant SaaS product that needs namespace isolation and filtered retrieval? | recommendation | Pinecone · 10 | 3 | 3 | 22 | 10 | Run live → |
| Recommend a low-latency vector search system for a workload that may grow to billions of embeddings. | recommendation | Pinecone · 6 | 3 | 3 | 17 | 2 | Run live → |
| What is the best serverless or usage-based vector database for a startup with an unpredictable retrieval workload? | recommendation | Pinecone · 12 | 3 | 3 | 21 | 6 | Run live → |
| How should a team compare vector database pricing across storage, ingestion, read throughput, replicas, and idle capacity? | commercial | Pinecone · 7 | 3 | 3 | 18 | 2 | Run live → |
| When should a team buy a dedicated vector database instead of adding embedding search to its existing operational database? | commercial | — | 3 | 3 | 19 | 0 | Run live → |
| Which buying criteria matter most for production vector retrieval, including recall, latency, filtering, durability, and operations? | commercial | — | 3 | 3 | 23 | 3 | Run live → |
| How should an engineering team evaluate vector search benchmark claims for recall, tail latency, throughput, scale, and total cost? | commercial | Zilliz Cloud / Milvus · 1 | 3 | 3 | 18 | 4 | Run live → |
Use the public category as your baseline
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