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LIVE RANKINGS & DATA
Loading the latest published snapshot and its supporting evidence.
Ranks reviewed Vector Databases brands by presence in Gemini's configured model API answers to the fixed public prompt cohort. This does not measure the consumer application.
| Rank | Entity | Signal | Gemini recommendation-prompt presence | Mention coverage | Mention share | Citation share | Engine breadth | OpenAI rec. presence | OpenAI coverage | Confidence | N | Change | Trend | Explain | Compare |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 01 | Pineconecompany | 37.5% | 50% | 17.82% | 8.89% | 3 | 75% | 58.33% | 100% | 8 | — | — | Analyze brandWhy this rank | ||
| 02 | Zilliz Cloud / Milvuscompany | 37.5% | 41.67% | 14.85% | 26.67% | 3 | 50% | 41.67% | 100% | 8 | — | — | Analyze brandWhy this rank | ||
| 03 | Azure AI Searchcompany | 37.5% | 13.89% | 4.95% | 8.89% | 2 | 0% | 0% | 100% | 8 | — | — | Analyze brandWhy this rank | ||
| 04 | Weaviatecompany | 25.0% | 44.44% | 15.84% | 2.22% | 3 | 75% | 50% | 100% | 8 | — | — | Analyze brandWhy this rank | ||
| 05 | Qdrantcompany | 25.0% | 47.22% | 16.83% | 13.33% | 3 | 75% | 58.33% | 100% | 8 | — | — | Analyze brandWhy this rank | ||
| 06 | Chromacompany | 25.0% | 13.89% | 4.95% | 0% | 3 | 25% | 16.67% | 100% | 8 | — | — | Analyze brandWhy this rank | ||
| 07 | Rediscompany | 12.5% | 16.67% | 5.94% | 8.89% | 3 | 12.5% | 8.33% | 100% | 8 | — | — | Analyze brandWhy this rank | ||
| 08 | Elasticsearchcompany | 12.5% | 11.11% | 3.96% | 0% | 3 | 25% | 16.67% | 100% | 8 | — | — | Analyze brandWhy this rank | ||
| 09 | Vespacompany | 12.5% | 11.11% | 3.96% | 0% | 3 | 12.5% | 8.33% | 100% | 8 | — | — | Analyze brandWhy this rank | ||
| 10 | Cloudflare Vectorizecompany | 12.5% | 2.78% | 0.99% | 2.22% | 1 | 0% | 0% | 100% | 8 | — | — | Analyze brandViewing why | ||
| 11 | Google Vertex AI Vector Searchcompany | 12.5% | 2.78% | 0.99% | 2.22% | 1 | 0% | 0% | 100% | 8 | — | — | Analyze brandWhy this rank | ||
| 12 | LanceDBcompany | 12.5% | 2.78% | 0.99% | 0% | 1 | 0% | 0% | 100% | 8 | — | — | Analyze brandWhy this rank | ||
| 13 | Amazon OpenSearch Servicecompany | 0.0% | 11.11% | 3.96% | 13.33% | 3 | 25% | 16.67% | 100% | 8 | — | — | Analyze brandWhy this rank | ||
| 14 | MongoDB Atlas Vector Searchcompany | 0.0% | 5.56% | 1.98% | 2.22% | 1 | 0% | 0% | 100% | 8 | — | — | Analyze brandWhy this rank | ||
| 15 | Turbopuffercompany | 0.0% | 2.78% | 0.99% | 11.11% | 1 | 0% | 0% | 100% | 8 | — | — | Analyze brandWhy this rank | ||
| 16 | Supabase Vectorcompany | 0.0% | 2.78% | 0.99% | 0% | 1 | 0% | 0% | 100% | 8 | — | — | Analyze brandWhy this rank |
Compare one brand with up to three competitors across the exact public prompt × engine matrix behind this leaderboard.
| Brand | Presence | Vs. primary | Selected share | Mentions | Cited answers | Owned URL signals | Engine breadth |
|---|---|---|---|---|---|---|---|
| Pineconepinecone.io | 50.0%18/36 | BASE | 27.3% | 51 | 4 | 4 | 3/3 |
| Qdrantqdrant.tech | 47.2%17/36 | -2.8 pp | 25.8% | 35 | 5 | 6 | 3/3 |
| Weaviateweaviate.io | 44.4%16/36 | -5.6 pp | 24.2% | 50 | 1 | 1 | 3/3 |
| Zilliz Cloud / Milvuszilliz.com | 41.7%15/36 | -8.3 pp | 22.7% | 25 | 9 | 12 | 3/3 |
12 prompts · 36 immutable answer hashes · empty cells mean no compared brand was detected.
| 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 | PineconeWeaviateQdrantZilliz Cloud / Milvus | No selected brand |
| 02 Recommend an open-source vector database that an engineering team can self-host in its own cloud account.recommendation | WeaviateQdrantZilliz Cloud / Milvus · C1 | WeaviateQdrantZilliz Cloud / Milvus | Weaviate · C1QdrantZilliz Cloud / Milvus · C2 |
| 03 Which enterprise vector retrieval services offer private networking, access controls, compliance, and regional deployment?recommendation | Qdrant · C1Zilliz Cloud / Milvus · C1 | PineconeWeaviateQdrant | No selected brand |
| 04 What is the best production data platform for combining keyword retrieval, semantic retrieval, metadata filters, and reranking?recommendation | PineconeWeaviate | PineconeWeaviateZilliz Cloud / Milvus | Pinecone · C1 |
| 05 Recommend a vector retrieval platform for searching text, images, audio, and other multimodal embeddings.recommendation | Pinecone · C1WeaviateQdrantZilliz Cloud / Milvus · C1 | PineconeWeaviateQdrantZilliz Cloud / Milvus · C2 | No selected brand |
| 06 Which vector database is best for a multi-tenant SaaS product that needs namespace isolation and filtered retrieval?recommendation | PineconeWeaviateQdrant · C2 | PineconeWeaviateQdrant | Pinecone · C1WeaviateQdrantZilliz Cloud / Milvus |
| 07 Recommend a low-latency vector search system for a workload that may grow to billions of embeddings.recommendation | PineconeQdrant | PineconeQdrantZilliz Cloud / Milvus | Zilliz Cloud / Milvus · C2 |
| 08 What is the best serverless or usage-based vector database for a startup with an unpredictable retrieval workload?recommendation | PineconeWeaviate | PineconeWeaviate | Pinecone |
| 09 How should a team compare vector database pricing across storage, ingestion, read throughput, replicas, and idle capacity?commercial | No selected brand | PineconeWeaviateQdrant · C1 | No selected brand |
| 10 When should a team buy a dedicated vector database instead of adding embedding search to its existing operational database?commercial | No selected brand | No selected brand | No selected brand |
| 11 Which buying criteria matter most for production vector retrieval, including recall, latency, filtering, durability, and operations?commercial | Qdrant · C1 | No selected brand | Qdrant · C1 |
| 12 How should an engineering team evaluate vector search benchmark claims for recall, tail latency, throughput, scale, and total cost?commercial | Pinecone · C1Zilliz Cloud / Milvus · C1 | Zilliz Cloud / Milvus · C1 | Zilliz Cloud / Milvus · C1 |
Hostnames are derived from validated public HTTP(S) URLs, not provider-supplied domain labels.
| Source hostname | Cited answers | Distinct URLs | Engine breadth | Best position | Evidence |
|---|---|---|---|---|---|
| medium.com | 18 | 19 | 3 | #1 | Open source ↗ |
| reddit.com | 12 | 9 | 3 | #1 | Open source ↗ |
| milvus.io | 8 | 8 | 3 | #1 | Open source ↗ |
| actian.com | 6 | 4 | 3 | #2 | Open source ↗ |
| linkedin.com | 5 | 5 | 2 | #1 | Open source ↗ |
| qdrant.tech | 5 | 5 | 3 | #1 | Open source ↗ |
| youtube.com | 5 | 5 | 2 | #1 | Open source ↗ |
| firecrawl.dev | 5 | 1 | 3 | #1 | Open source ↗ |
| learn.microsoft.com | 4 | 4 | 2 | #1 | Open source ↗ |
| arxiv.org | 4 | 4 | 2 | #3 | Open source ↗ |
| dev.to | 4 | 4 | 2 | #3 | Open source ↗ |
| redis.io | 4 | 3 | 2 | #4 | Open source ↗ |
| scylladb.com | 4 | 2 | 3 | #1 | Open source ↗ |
| zenml.io | 4 | 1 | 3 | #1 | Open source ↗ |
| instaclustr.com | 3 | 3 | 2 | #1 | Open source ↗ |
| pinecone.io | 3 | 3 | 2 | #1 | Open source ↗ |
| theaidatabaseblog.com | 3 | 3 | 1 | #2 | Open source ↗ |
| zilliz.com | 3 | 3 | 2 | #2 | Open source ↗ |
| ibm.com | 3 | 2 | 2 | #1 | Open source ↗ |
| databricks.com | 3 | 1 | 3 | #3 | Open source ↗ |
Ranks a reviewed Vector Databases brand universe using a fixed, public set of neutral commercial prompts across 3 AI providers.
Some explanation inputs are unavailable Missing: comparablePriorRanking.
| Component | Value | Weight | Contribution | Evidence | Status |
|---|---|---|---|---|---|
| public prompt anthropic brand citation share | 0 | 0% | — | 1 | available |
| public prompt anthropic brand mention coverage | 0 | 0% | — | 1 | available |
| public prompt anthropic brand recommendation presence | 0 | 0% | — | 1 | available |
| public prompt brand citation share | 2.222222 | 0% | — | 1 | available |
|---|
| public prompt brand engine breadth | 1 | 0% | — | 1 | available |
|---|
| public prompt brand mention coverage | 2.777778 | 0% | — | 1 | available |
|---|
| public prompt brand mention share | 0.990099 | 0% | — | 1 | available |
|---|
| public prompt brand recommendation presence | 4.166667 | 0% | — | 1 | available |
|---|
| public prompt gemini brand citation share | 5.882353 | 0% | — | 1 | available |
|---|
| public prompt gemini brand mention coverage | 8.333333 | 0% | — | 1 | available |
|---|
| public prompt gemini brand recommendation presence | 12.5 | 100% | 12.5 | 1 | available |
|---|
| public prompt openai brand citation share | 0 | 0% | — | 1 | available |
|---|
| public prompt openai brand mention coverage | 0 | 0% | — | 1 | available |
|---|
| public prompt openai brand recommendation presence | 0 | 0% | — | 1 | available |
|---|
no_prior_published_snapshot
No comparable component drivers were published.
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