# Gartner Magic Quadrant

**URL:** <https://forum.knime.com/t/gartner-magic-quadrant/67564>\
**Category:** KNIME Analytics Platform\
**Created:** [May 26, 2023, 5:24am UTC](https://forum.knime.com/t/gartner-magic-quadrant/67564 "2023-05-26T05:24:08Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![mlauber71](https://forum-cdn.knime.com/user_avatar/forum.knime.com/mlauber71/32/73590_2.png) [@mlauber71](https://forum.knime.com/u/mlauber71)\
**Post date:** [May 26, 2023, 6:41am UTC](https://forum.knime.com/t/gartner-magic-quadrant/67564/2 "2023-05-26T06:41:26Z")

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@piva it is not that easy to follow all of Gartner’s various categories. Some time ago they seem to have stopped putting “[Multipersona Data Science and Machine Learning Platforms](https://www.gartner.com/reviews/market/multipersona-data-science-and-machine-learning-platforms)” or “[Market Guide for DSML Engineering Platforms](https://www.gartner.com/reviews/market/dsml-engineering-platforms)” in quadrants and instead opted for doing customer review based comparisons without a specific quadrant or overall estimations.

> [@Why is KNIME so popular in the pharmaceutical industry?](https://forum.knime.com/t/why-is-knime-so-popular-in-the-pharmaceutical-industry/58114/7):
>
> I would offer you my own take on the the matter. The three main points are KNIME is a platform. Sounds simple but it means it will happily interact with all sorts of data sources and systems like Java, R, Python etc. as well as SQL-databases and Big Data It is highly scalable: it can be used by beginners as well as experts and they all can interact with the business side (all the hippos coming together). It is low-code it has a great community and support network. And the initial price tag is…

More interesting than some external recommendations might be to do one’s own evaluation and see what product and platform will suit your needs - if that was the question implied 🙂

> **[How to Choose a Data Analytics Platform](https://info.knime.com/how-to-choose-data-analytics-platform)**
>
> This complete guide to choosing a data analytics platform covers criteria like, Python support, integrations in domain-specific libraries, connectors to databases, and more.

* * *

Another interesting aspect might be KNIME’s placement on the well known “[MAD (Machine Learning, Artificial Intelligence & Data) Landscape](https://mattturck.com/mad2023/)” by Matt Turck.

 ![image](https://forum-cdn.knime.com/uploads/default/original/3X/d/9/d914e62d63bc70d1fb06f0b8c907949f09de2b25.png)

> **[FirstMark | 2024 MAD (ML/AI/Data) Landscape](https://mad.firstmark.com/)**
>
> The 2024 MAD (ML/AI/Data) Landscape is the definitive market map of companies and products in machine learning, artificial intelligence and data, compiled by FirstMark.

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