What AI assistants actually recommend when buyers ask about vector database tools — measured on a rolling 4-week window across 5 engines, published as open data.
Updated 2026-09-17 · 35 sampled answers · rolling 4-week window · methodology
Rankings are measured from sampled AI answers — never editorial, never paid. Orbator builds AI-visibility tooling; when Orbator itself appears in any category, it is measured by the same rules as everyone else.
Measured by Orbatormethodology owner Henrik Tellewindow ends Sep 17, 2026
Sample: 35 AI answers · Window: Aug 20, 2026 – Sep 17, 2026 (4-week rolling) · trend vs prior 4 weeks (63 answers)
Samples by engine: GROK 7 (last run Aug 25, 2026) · GEMINI 7 (last run Aug 25, 2026) · CHATGPT 7 (last run Aug 25, 2026) · CLAUDE 7 (last run Aug 26, 2026) · PERPLEXITY 7 (last run Aug 25, 2026 — stalest)
How these numbers are made: sampling design · prompt provenance · what counts as a mention · what we cannot see
On the record: This ranking is frozen as a dated snapshot every day. View this category's history to see what entered and left the ranking and when, or read what the engines actually said on a given day.
Across 35 sampled AI answers from 5 engines, Qdrant is recommended most often — appearing in 88.6% of recommendations, followed by Weaviate (80%) and Pinecone (77.1%).
This is a measurement of share of voice across 5 AI engines — not an editorial pick. See the full ranking below.
Orbator asked Grok, Gemini, ChatGPT, Claude and Perplexity buyer questions about vector database tools and sampled 35 answers between Aug 20, 2026 and Sep 17, 2026. Recommendation share counts the answers that recommended or listed a product, so a passing mention or a warning adds nothing to it. A category publishes once it holds at least 20 independently sampled answers in the window. Read the full methodology or download this ranking as CSV.
| # | Product | Share | Trend | Engines | |
|---|---|---|---|---|---|
| 1 | qdrant.tech | 88.6% 95% CI 74–95.5% 31 mentions · avg pos 5.3 first pick 12.9% | — | GROK 100%GEMINI 85.7%CHATGPT 85.7%CLAUDE 85.7%PERPLEXITY 85.7% | Claim |
| 2 | weaviate.io | 80% 95% CI 64.1–90% 28 mentions · avg pos 5.6 first pick 3.6% | — | GROK 100%GEMINI 85.7%CHATGPT 100%CLAUDE 42.9%PERPLEXITY 71.4% | Claim |
| 3 | pinecone.io | 77.1% 95% CI 61–87.9% 27 mentions · avg pos 5 first pick 33.3% | — | GROK 100%GEMINI 71.4%CHATGPT 85.7%CLAUDE 42.9%PERPLEXITY 85.7% | Claim |
| 4 | milvus.io | 74.3% 95% CI 57.9–85.8% 26 mentions · avg pos 6 first pick 19.2% | — | GROK 100%GEMINI 85.7%CHATGPT 71.4%CLAUDE 42.9%PERPLEXITY 71.4% | Claim |
| 5 | pgvector.org | 74.3% 95% CI 57.9–85.8% 26 mentions · avg pos 6.6 first pick 11.5% | — | GROK 100%GEMINI 71.4%CHATGPT 71.4%CLAUDE 57.1%PERPLEXITY 71.4% | Claim |
| 6 | zilliz.com | 48.6% 95% CI 33–64.4% 17 mentions · avg pos 8.9 first pick 11.8% | — | GROK 85.7%GEMINI 42.9%CHATGPT 57.1%CLAUDE 42.9%PERPLEXITY 14.3% | Claim |
| 7 | HNSW | 45.7% 95% CI 30.5–61.8% 16 mentions · avg pos 3.7 first pick 43.8% | — | GROK 42.9%GEMINI 71.4%CHATGPT 42.9%CLAUDE 42.9%PERPLEXITY 28.6% | Claim |
| 8 | Postgres | 42.9% 95% CI 28–59.1% 15 mentions · avg pos 7.6 first pick 13.3% | — | GROK 85.7%CHATGPT 42.9%CLAUDE 42.9%PERPLEXITY 42.9% | Claim |
| 9 | postgresql.org | 42.9% 95% CI 28–59.1% 15 mentions · avg pos 9.3 first pick 0% | — | GROK 42.9%GEMINI 85.7%CHATGPT 42.9%PERPLEXITY 42.9% | Claim |
| 10 | trychroma.com | 34.3% 95% CI 20.8–50.8% 12 mentions · avg pos 11.6 first pick 8.3% | — | GROK 71.4%GEMINI 57.1%CHATGPT 14.3%CLAUDE 14.3%PERPLEXITY 14.3% | Claim |
| 11 | redis.io | 28.6% 95% CI 16.3–45.1% 10 mentions · avg pos 8.2 first pick 0% | — | GROK 42.9%GEMINI 42.9%CHATGPT 28.6%CLAUDE 14.3%PERPLEXITY 14.3% | Claim |
| 12 | opensearch.org | 28.6% 95% CI 16.3–45.1% 10 mentions · avg pos 9.7 first pick 0% | — | GROK 28.6%GEMINI 57.1%CHATGPT 57.1% | Claim |
| 13 | vespa.ai | 25.7% 95% CI 14.2–42.1% 9 mentions · avg pos 8.3 first pick 0% | — | GROK 42.9%GEMINI 57.1%CHATGPT 14.3%CLAUDE 14.3% | Claim |
| 14 | pgvectorscale | 22.9% 95% CI 12.1–39% 8 mentions · avg pos 8.5 first pick 12.5% | — | GROK 85.7%GEMINI 14.3%CLAUDE 14.3% | Claim |
| 15 | elastic.co | 22.9% 95% CI 12.1–39% 8 mentions · avg pos 12.4 first pick 0% | — | GROK 57.1%GEMINI 14.3%CHATGPT 42.9% | Claim |
| 16 | qdrant.io | 20% 95% CI 10–35.9% 7 mentions · avg pos 6.8 first pick 14.3% | — | GROK 28.6%CHATGPT 14.3%CLAUDE 14.3%PERPLEXITY 42.9% | Claim |
| 17 | mongodb.com | 20% 95% CI 10–35.9% 7 mentions · avg pos 12.8 first pick 0% | — | GROK 42.9%GEMINI 28.6%CHATGPT 14.3%CLAUDE 14.3% | Claim |
| 18 | DiskANN | 17.1% 95% CI 8.1–32.7% 6 mentions · avg pos 3.2 first pick 33.3% | — | GROK 57.1%GEMINI 14.3%PERPLEXITY 14.3% | Claim |
| 19 | faiss.ai | 17.1% 95% CI 8.1–32.7% 6 mentions · avg pos 7.5 first pick 0% | — | GROK 14.3%GEMINI 28.6%CHATGPT 42.9% | Claim |
| 20 | lancedb.com | 14.3% 95% CI 6.3–29.4% 5 mentions · avg pos 6.6 first pick 20% | — | GROK 42.9%GEMINI 14.3%CHATGPT 14.3% | Claim |
| 21 | langchain.com | 11.4% 95% CI 4.5–26% 4 mentions · avg pos 10.8 first pick 0% | — | GROK 28.6%GEMINI 28.6% | Claim |
| 22 | llamaindex.ai | 8.6% 95% CI 3–22.4% 3 mentions · avg pos 10 first pick 0% | — | GROK 28.6%GEMINI 14.3% | Claim |
| 23 | firecrawl.dev | 8.6% 95% CI 3–22.4% 3 mentions · avg pos 14 first pick 0% | — | GROK 42.9% | Claim |
| 24 | azure.microsoft.com | 5.7% 95% CI 1.6–18.6% 2 mentions · avg pos 6.5 first pick 0% | — | CHATGPT 14.3%PERPLEXITY 14.3% | Claim |
| 25 | aws.amazon.com | 5.7% 95% CI 1.6–18.6% 2 mentions · avg pos 8 first pick 0% | — | GEMINI 14.3%PERPLEXITY 14.3% | Claim |
| 26 | neon.tech | 5.7% 95% CI 1.6–18.6% 2 mentions · avg pos 16 first pick 0% | — | GROK 28.6% | Claim |
| 27 | supabase.com | 5.7% 95% CI 1.6–18.6% 2 mentions · avg pos 16 first pick 0% | — | GROK 28.6% | Claim |
| 28 | nvidia.com | 2.9% 95% CI 0.5–14.5% 1 mentions · avg pos 1 first pick 100% | — | CLAUDE 14.3% | Claim |
| 29 | sqlite.org | 2.9% 95% CI 0.5–14.5% 1 mentions · avg pos 1 first pick 100% | — | GROK 14.3% | Claim |
| 30 | RediSearch | 2.9% 95% CI 0.5–14.5% 1 mentions · avg pos 3 first pick 0% | — | GROK 14.3% | Claim |
| 31 | scylladb.com | 2.9% 95% CI 0.5–14.5% 1 mentions · avg pos 3 first pick 0% | — | GEMINI 14.3% | Claim |
| 32 | learn.microsoft.com | 2.9% 95% CI 0.5–14.5% 1 mentions · avg pos 5 first pick 0% | — | CHATGPT 14.3% | Claim |
| 33 | ScaNN | 2.9% 95% CI 0.5–14.5% 1 mentions · avg pos 7 first pick 0% | — | GEMINI 14.3% | Claim |
| 34 | Cassandra | 2.9% 95% CI 0.5–14.5% 1 mentions · avg pos 9 first pick 0% | — | GEMINI 14.3% | Claim |
| 35 | dev.to | 2.9% 95% CI 0.5–14.5% 1 mentions · avg pos 10 first pick 0% | — | GROK 14.3% | Claim |
| 36 | braintrust.dev | 2.9% 95% CI 0.5–14.5% 1 mentions · avg pos 23 first pick 0% | — | GROK 14.3% | Claim |
| 37 | zenml.io | 2.9% 95% CI 0.5–14.5% 1 mentions · avg pos 27 first pick 0% | — | GROK 14.3% | Claim |
| 38 | VectorDBBench | 2.9% 95% CI 0.5–14.5% 1 mentions · avg pos 33 first pick 0% | — | GROK 14.3% | Claim |
| 39 | RAGAS | 2.9% 95% CI 0.5–14.5% 1 mentions · avg pos 34 first pick 0% | — | GROK 14.3% | Claim |
Reading the numbers: Share is a point estimate on 35 sampled answers, so each row also shows its 95% CI — the Wilson score interval around that share. When two products' intervals overlap, the gap between them isn't statistically meaningful at this sample size. First pick is the share of a product's recommending answers where it was named first, which separates “always mentioned” from “usually the top recommendation”. Full methodology.
Independence: Orbator customers are badged for disclosure. Customer status does not affect prompts, sampling, extraction, or ranking — see the methodology. Your product on this list? Claim it to see the prompts behind your rank and track it weekly.
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Head-to-head pages for products ranked in Vector database tools. Each one sets out sourced facts side by side, plus which product AI assistants recommend more, engine by engine.
Every number on this page is measured from sampled answers, and those answers are kept. The archive holds dated excerpts of what each engine answered, never full answers. Read the answer archive for vector database tools to see the excerpts by date and engine, or view the ranking history to see what entered and left this ranking and when.
Across 35 sampled AI answers from 5 engines (Aug 20, 2026 to Sep 17, 2026), Qdrant is recommended most often for vector database tools, appearing in 88.6% of recommendations, followed by Weaviate (80%). This is a measurement of what AI assistants recommend, not an editorial verdict.
ChatGPT recommends Weaviate most often for vector database tools. It appears as a recommendation in 100% of ChatGPT's sampled answers in this window (Aug 20, 2026 to Sep 17, 2026). Other engines answer differently. The per-engine breakdown in the ranking shows each one.
Orbator samples AI answers to buyer questions across 5 engines and counts how often each product is recommended. No product pays for placement. The vector database tools ranking is based on 35 answers in the current 4-week window (Aug 20, 2026 to Sep 17, 2026). Full methodology is published at https://www.orbator.io/ai-index/methodology.
Verified facts for the most-recommended products — each sourced and dated. No editorial scoring, just the data side by side.
| PostgreSQLpostgresql.org | MongoDBmongodb.com | LangChainlangchain.com | AWSaws.amazon.com | Dev.todev.to | |
|---|---|---|---|---|---|
| Pricing | — | M2: $9 a month (free tier available) ↗ sourceverified Sep 5, 2026 | LSU: $1 a month (free tier available) ↗ sourceverified Sep 5, 2026 | — | — |
| Features | performance ↗ sourceverified Sep 5, 2026 | Vector Search ↗ sourceverified Sep 5, 2026 | Tracing ↗ sourceverified Sep 5, 2026 | AWS Pricing Calculator ↗ sourceverified Sep 5, 2026 | share ↗ sourceverified Sep 5, 2026 |
| Platforms | — | Azure ↗ sourceverified Sep 5, 2026 | Self-Hosted ↗ sourceverified Sep 5, 2026 | — | — |
| Integrations | — | Apache Kafka ↗ sourceverified Sep 5, 2026 | Google ↗ sourceverified Sep 5, 2026 | — | — |
What AI recommends in adjacent categories — same method, fresh weekly.
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