# What are common mistakes when buying a vector database?

Category: Vector Databases. Intent: informational. Top brand: Pinecone.

Page: https://slateindex.ai/prompt/what-are-common-mistakes-when-buying-a-vector-database-yy37k2m3ev · data of 2026-11-02

## Brands named

| Brand | Share of engines |
|---|---|
| PostgreSQL | 67% |
| Faiss | 33% |
| Pinecone | 33% |
| Qdrant | 33% |
| Weaviate | 33% |

## Sources

- indexical.dev (3)
- 4analytics.com (1)
- automateanddeploy.com (1)
- bcloud.ai (1)
- beehivestrategy.com (1)
- ciopages.com (1)
- dagshub.com (1)
- datavidhya.com (1)
- fossilite.ai (1)
- github.com (1)
- itechguides.com (1)
- kx.com (1)
- lmversity.com (1)
- logiciel.io (1)
- manuals.plus (1)
- menuagentic.com (1)
- milvus.io (1)
- perimattic.com (1)
- pinecone.io (1)
- pulserevops.com (1)
- qdrant.tech (1)
- simorconsulting.com (1)
- splunk.com (1)
- techstackdaily.com (1)
- tengence.com (1)

## Definitions

- Visibility (0–100): how often and how high AI answers name the brand, weighted by position.
- Mention rate: share of collected AI answers that name the brand.
- Share of voice: the brand's mentions as a share of all brand mentions in the category.
- Citation authority: share of answers naming the brand that cite the brand's own site.

Cite as: SlateIndex, “What are common mistakes when buying a vector database?”, https://slateindex.ai/prompt/what-are-common-mistakes-when-buying-a-vector-database-yy37k2m3ev, data of 2026-11-02. Licence: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).