# What features matter most in a vector database?

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

Page: https://slateindex.ai/prompt/what-features-matter-most-in-a-vector-database-v6jveywuk3 · data of 2026-11-02

## Brands named

| Brand | Share of engines |
|---|---|
| Pinecone | 67% |
| Faiss | 33% |
| TiDB | 33% |
| Qdrant | 33% |
| Redis | 33% |
| Weaviate | 33% |
| PostgreSQL | 33% |
| Zilliz Cloud | 33% |
| MongoDB Atlas | 33% |

## Sources

- milvus.io (3)
- pinecone.io (2)
- redis.io (2)
- browserless.io (1)
- digitalocean.com (1)
- edu.cn (1)
- github.com (1)
- ibm.com (1)
- mongodb.com (1)
- n8n.io (1)
- percona.com (1)
- pingcap.com (1)
- qdrant.tech (1)
- splunk.com (1)
- stackai.com (1)
- truefoundry.com (1)
- unstructured.io (1)
- weaviate.io (1)
- zilliz.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 features matter most in a vector database?”, https://slateindex.ai/prompt/what-features-matter-most-in-a-vector-database-v6jveywuk3, data of 2026-11-02. Licence: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).