# How do I choose a data warehouse for a mid-market team?

Category: Data Warehouse. Intent: informational. Top brand: Snowflake.

Page: https://slateindex.ai/prompt/how-do-i-choose-a-data-warehouse-for-a-mid-market-team-qrb2sqtvwc · data of 2026-11-03

## Brands named

| Brand | Share of engines |
|---|---|
| BigQuery | 100% |
| Snowflake | 100% |
| AWS | 100% |
| Databricks | 100% |
| Fivetran | 100% |
| Amazon Redshift | 67% |
| Microsoft Azure | 67% |
| dbt | 67% |
| Microsoft Fabric | 33% |
| Airbyte | 33% |
| PostgreSQL | 33% |
| MotherDuck | 33% |

## Sources

- fivetran.com (2)
- twilio.com (2)
- ciopages.com (1)
- databricks.com (1)
- databuzzltd.com (1)
- domo.com (1)
- google.com (1)
- grazitti.com (1)
- growthgear.com.au (1)
- infoworld.com (1)
- itechguides.com (1)
- kansoftware.com (1)
- microsoft.com (1)
- motherduck.com (1)
- purcellanalytics.com (1)
- querio.ai (1)
- skyvia.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, “How do I choose a data warehouse for a mid-market team?”, https://slateindex.ai/prompt/how-do-i-choose-a-data-warehouse-for-a-mid-market-team-qrb2sqtvwc, data of 2026-11-03. Licence: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).