Vector databases · RankedPinecone
Pinecone is a managed vector database for building search and retrieval applications, used by teams that want to run vector search with little operational overhead · pinecone.io ↗
Leads at enterprise. Ranked 3 of 51 for small business buyers.
The standing depends on who is buying. Every model is asked the same questions for each company size.
pgvector is first at 35%.
Qdrant is first at 34%. 5 of 14 models made it the first choice when asked directly.
Ranked first. Next is Qdrant at 20%.
Why models recommend it
“The most widely adopted vector database in the mid-market, with a 57% adoption rate... If you want the most popular and easiest managed solution, choose Pinecone.”Mistral Small · Direct question · first choice
“### 1. Pinecone (Best for Simplicity) ... Choose Pinecone if you prioritize operational simplicity and have modest data volumes”Claude Haiku 4.5 · Paraphrase question · first choice
“Fully managed, zero ops overhead, serverless architecture | Rapid prototyping to production for teams wanting no infra management.”Gemini 3.5 Flash · Scale-constrained question · first choice
“Default choice for a dedicated vector DB: Go with `Pinecone` (for maximum convenience) or `Qdrant Cloud`”Gemini 3.5 Flash · Direct question · first choice
What gives them pause
“Avoid for a limited budget: Pinecone — managed services with $50 minimums and costs that blow past initial estimates”DeepSeek V4 Flash · Budget-constrained question · warning
“What to Avoid on a Tight Budget - Managed services like Pinecone (starts at ~$70/month for basics”Grok 4.20 · Budget-constrained question · warning
“What to Avoid on a Budget - Pinecone — Excellent product but starts at ~$70/month”MiniMax M2.5 · Budget-constrained question · warning
“Managed services like Pinecone, Zilliz Cloud, etc. remove operational burden but introduce vendor lock-in, cost at scale, and data residency concerns.”Muse Glimmer 30B · Negative question · warning
Also on the shortlist
The products named in the same answers as Pinecone, over the 219 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 201 | 51 | Compare → | |
| 173 | 10 | Compare → | |
| 171 | 48 | Compare → | |
| 106 | 7 | Compare → | |
| 101 | 3 | View → | |
| 48 | 1 | View → | |
| 34 | 1 | Compare → | |
| 31 | 0 | View → | |
| 31 | 0 | View → | |
| 28 | 0 | View → |
What the models named instead of Pinecone →
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on Pinecone's own site, not checked by Gane.
- For
- For trying out and for small applications; for solo developers and small teams; for production applications at any scale; for mission-critical production applications.
- Price stated
- Create your first index for free, then pay as you go when you're ready to scale.
- Starting price
- 0
- Free plan or trial
- Create your first index for free
- Certifications
- SOC 2 Type II, HIPAA, GDPR, ISO 27001
- Hosting
- aws us-east-1, aws us-west-2, aws eu-west-1, us-east-1, USA, Any, All available regions
- Customers named
- Adobe, Workday, L’Oréal, Microsoft, Mercado Libre, OpenAI, Cohere, Fox
How this is measured
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Sources returned with these answers
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 188 of the 219 answers that named Pinecone and are not a share of its labels.
Domains cited
425 of the 494 domain citations in answers naming Pinecone came from a third party's page. Thirty-one were to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 1 | 1 | 0 | 3 |
| GPT-5.4 mini | 3 | 0 | 0 | 0 | 3 |
| Gemini 3.5 Flash | 3 | 2 | 0 | 1 | 6 |
| Perplexity Sonar | 1 | 2 | 0 | 2 | 5 |
| Grok 4.20 | 1 | 3 | 0 | 2 | 6 |
| Mistral Small | 2 | 0 | 2 | 0 | 4 |
| DeepSeek V4 Flash | 0 | 3 | 0 | 3 | 6 |
| Llama 4 Maverick | 0 | 1 | 1 | 1 | 3 |
| Qwen 3.7 Flash | 1 | 2 | 1 | 2 | 6 |
| Kimi K2 | 1 | 3 | 0 | 1 | 5 |
| GLM 4.7 FlashX | 2 | 1 | 0 | 0 | 3 |
| MiniMax M2.5 | 0 | 4 | 1 | 1 | 6 |
| GPT-6 Luna | 0 | 2 | 1 | 0 | 3 |
| Muse Glimmer 30B | 2 | 2 | 0 | 2 | 6 |
What it publishes
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Report or ebook | 193 | undated | Vector databases | ||
| Conference or event | 170 | undated | Vector databases | ||
| Glossary or explainer | 166 | undated | Vector databases | ||
| Blog | 151 | undated | Vector databases, Object storage | ||
| Comparison | 35 | 0 | 2023-02-28 | ||
| News or press | 29 | undated | Vector databases | ||
| Webinar or virtual event | 26 | 0 | 2022-06-11 | ||
| Case study | 19 | 0 | 2025-04-18 | ||
| Template or tool | 6 | 0 | 2024-07-03 | Vector databases | |
| Podcast or video | 2 | 0 | 2024-01-30 |
Most recent
How it is countedHide how it is counted
Every page pinecone.io exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.