# What should a vector database integrate with?

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

Page: https://slateindex.ai/prompt/what-should-a-vector-database-integrate-with-m7drhndzit · data of 2026-11-02

## Brands named

| Brand | Share of engines |
|---|---|
| PostgreSQL | 100% |
| MongoDB Atlas | 67% |
| Redis | 33% |
| Elasticsearch | 33% |
| AWS | 33% |
| Google Vertex AI Vector Search | 33% |

## Sources

- couchbase.com (2)
- google.com (2)
- ibm.com (2)
- microsoft.com (2)
- acm.org (1)
- arxiv.org (1)
- atlan.com (1)
- digitalocean.com (1)
- oracle.com (1)
- redis.io (1)
- splunk.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 should a vector database integrate with?”, https://slateindex.ai/prompt/what-should-a-vector-database-integrate-with-m7drhndzit, data of 2026-11-02. Licence: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).