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LIVE RANKINGS & DATA
Loading the latest published snapshot and its supporting evidence.
Ranks reviewed Vector Databases brands by the share of all successful benchmark answers in which they appear.
| Rank | Entity | Signal | Mention coverage | Mention coverage | Mention share | Citation share | Engine breadth | OpenAI rec. presence | OpenAI coverage | Confidence | N | Change | Trend | Explain | Compare |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 01 | Pineconecompany | 50.0% | 50% | 17.82% | 8.89% | 3 | 75% | 58.33% | 100% | 36 | — | — | Analyze brandWhy this rank | ||
| 02 | Qdrantcompany | 47.2% | 47.22% | 16.83% | 13.33% | 3 | 75% | 58.33% | 100% | 36 | — | — | Analyze brandWhy this rank | ||
| 03 | Weaviatecompany | 44.4% | 44.44% | 15.84% | 2.22% | 3 | 75% | 50% | 100% | 36 | — | — | Analyze brandWhy this rank | ||
| 04 | Zilliz Cloud / Milvuscompany | 41.7% | 41.67% | 14.85% | 26.67% | 3 | 50% | 41.67% | 100% | 36 | — | — | Analyze brandWhy this rank | ||
| 05 | Rediscompany | 16.7% | 16.67% | 5.94% | 8.89% | 3 | 12.5% | 8.33% | 100% | 36 | — | — | Analyze brandWhy this rank | ||
| 06 | Chromacompany | 13.9% | 13.89% | 4.95% | 0% | 3 | 25% | 16.67% | 100% | 36 | — | — | Analyze brandWhy this rank | ||
| 07 | Azure AI Searchcompany | 13.9% | 13.89% | 4.95% | 8.89% | 2 | 0% | 0% | 100% | 36 | — | — | Analyze brandWhy this rank | ||
| 08 | Elasticsearchcompany | 11.1% | 11.11% | 3.96% | 0% | 3 | 25% | 16.67% | 100% | 36 | — | — | Analyze brandWhy this rank | ||
| 09 | Vespacompany | 11.1% | 11.11% | 3.96% | 0% | 3 | 12.5% | 8.33% | 100% | 36 | — | — | Analyze brandWhy this rank | ||
| 10 | Amazon OpenSearch Servicecompany | 11.1% | 11.11% | 3.96% | 13.33% | 3 | 25% | 16.67% | 100% | 36 | — | — | Analyze brandWhy this rank | ||
| 11 | MongoDB Atlas Vector Searchcompany | 5.6% | 5.56% | 1.98% | 2.22% | 1 | 0% | 0% | 100% | 36 | — | — | Analyze brandWhy this rank | ||
| 12 | Turbopuffercompany | 2.8% | 2.78% | 0.99% | 11.11% | 1 | 0% | 0% | 100% | 36 | — | — | Analyze brandWhy this rank | ||
| 13 | Cloudflare Vectorizecompany | 2.8% | 2.78% | 0.99% | 2.22% | 1 | 0% | 0% | 100% | 36 | — | — | Analyze brandViewing why | ||
| 14 | Google Vertex AI Vector Searchcompany | 2.8% | 2.78% | 0.99% | 2.22% | 1 | 0% | 0% | 100% | 36 | — | — | Analyze brandWhy this rank | ||
| 15 | LanceDBcompany | 2.8% | 2.78% | 0.99% | 0% | 1 | 0% | 0% | 100% | 36 | — | — | Analyze brandWhy this rank | ||
| 16 | Supabase Vectorcompany | 2.8% | 2.78% | 0.99% | 0% | 1 | 0% | 0% | 100% | 36 | — | — | 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 | 100% | 2.778 | 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 | 0% | — | 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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