# What is the difference between an MLOps platform and a data science platform?

Category: MLOps Platforms. Intent: informational. Top brand: AWS.

Page: https://slateindex.ai/prompt/what-is-the-difference-between-an-mlops-platform-and-a-data-5yyuuvlles · data of 2026-11-02

## Brands named

| Brand | Share of engines |
|---|---|
| Databricks | 100% |
| Jupyter | 67% |
| MLflow | 67% |
| Google Vertex AI | 67% |
| Kubeflow | 67% |
| Amazon SageMaker AI | 67% |
| AWS | 33% |
| Microsoft Azure Machine Learning | 33% |
| BentoML | 33% |
| Anaconda | 33% |
| Apache Airflow | 33% |
| Posit | 33% |
| KNIME | 33% |

## Sources

- databricks.com (2)
- google.com (2)
- microsoft.com (2)
- amazon.com (1)
- ibm.com (1)
- linkedin.com (1)
- maibornwolff.de (1)
- modelop.com (1)
- ones.com (1)
- scribd.com (1)
- shakudo.io (1)
- techtarget.com (1)
- thoughtworks.com (1)
- tredence.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 is the difference between an MLOps platform and a data science platform?”, https://slateindex.ai/prompt/what-is-the-difference-between-an-mlops-platform-and-a-data-5yyuuvlles, data of 2026-11-02. Licence: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).