# What features matter most in a data warehouse?

Category: Data Warehouse. Intent: informational. Top brand: Oracle Autonomous Data Warehouse.

Page: https://slateindex.ai/prompt/what-features-matter-most-in-a-data-warehouse-tovjo7a22o · data of 2026-11-03

## Brands named

| Brand | Share of engines |
|---|---|
| Fivetran | 67% |
| AWS | 67% |
| Snowflake | 67% |
| BigQuery | 67% |
| Databricks | 67% |
| ClickHouse | 33% |
| Oracle Autonomous Data Warehouse | 33% |
| Airbyte | 33% |
| Exasol | 33% |
| Microsoft Azure | 33% |
| dbt | 33% |
| Amazon Redshift | 33% |
| Microsoft Fabric | 33% |

## Sources

- amazon.com (2)
- cleverence.com (2)
- exasol.com (2)
- microsoft.com (2)
- clickhouse.com (1)
- databricks.com (1)
- fivetran.com (1)
- getdbt.com (1)
- google.com (1)
- itechguides.com (1)
- kanerika.com (1)
- oracle.com (1)
- rudderstack.com (1)
- snowflake.com (1)
- stripe.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 data warehouse?”, https://slateindex.ai/prompt/what-features-matter-most-in-a-data-warehouse-tovjo7a22o, data of 2026-11-03. Licence: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).