# Which Vector Databases vendors do analysts recommend?

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

Page: https://slateindex.ai/prompt/which-vector-databases-vendors-do-analysts-recommend-xgabkamxl7 · data of 2026-11-02

## Brands named

| Brand | Share of engines |
|---|---|
| Pinecone | 100% |
| Qdrant | 100% |
| Weaviate | 100% |
| MongoDB Atlas | 100% |
| Elasticsearch | 67% |
| PostgreSQL | 67% |
| Azure AI Search | 67% |
| Vespa | 33% |
| DataStax Astra DB | 33% |
| Redis | 33% |
| OpenSearch | 33% |
| Chroma | 33% |
| Actian VectorAI DB | 33% |

## Sources

- gartner.com (3)
- forrester.com (2)
- g2.com (2)
- orczhou.com (2)
- actian.com (1)
- blocksandfiles.com (1)
- ciopages.com (1)
- firecrawl.dev (1)
- marketsandmarkets.com (1)
- mastra.ai (1)
- ramp.com (1)
- sganalytics.com (1)
- stackscout.dev (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, “Which Vector Databases vendors do analysts recommend?”, https://slateindex.ai/prompt/which-vector-databases-vendors-do-analysts-recommend-xgabkamxl7, data of 2026-11-02. Licence: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).