# Apache Doris

Apache Doris is an open-source, MPP-based real-time data warehouse and analytics database, released under the Apache 2.0 license. It is used for report analysis, ad-hoc queries, unified data warehousing, and lakehouse acceleration, and it is MySQL-compatible. It supports federated queries over Hive, Iceberg, Hudi, MySQL, and PostgreSQL.

Page: https://slateindex.ai/brand/apache-doris · data of 2026-11-03

## Facts

- Company type: Open source project
- Deployment: Self-hosted via a Docker image for a single node or the Doris Operator on Kubernetes for production; supports compute-storage coupled and decoupled cluster modes since version 3.x.

## Products

- Apache Doris: Open-source MPP real-time data warehouse and analytics database with MySQL compatibility and federated queries.

## Rankings

| Category | Rank | Visibility | Mentions |
|---|---|---|---|
| Data Warehouse | 30 of 39 | 0.0 | 0 |

## By engine

| Engine | Visibility | Mention rate |
|---|---|---|
| chatgpt | 0.0 | 0.0% |
| google_ai_mode | 0.0 | 0.0% |
| perplexity | 0.0 | 0.0% |

## 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, “Apache Doris AI visibility profile”, https://slateindex.ai/brand/apache-doris, data of 2026-11-03. Licence: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).