Notable Data Science Platforms of 2021

Matthew Yates
2 min readOct 30, 2021

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A list of Data Science Platforms worth checking out in 2021!

Introduction

I did a similar and more detailed article for 2020 on Medium titled Notable Data Science Platforms of 2020. This article is an extension of the 2020 article, containing updates and new platforms as of 2021!

Photo by Danist Soh on Unsplash

2021 Major Developments

DataRobot acquires, Zepl, Algorithmia, and decision.ai!

DataRobot has been snatching up companies left and right. First, it was ParallelML to improve and extend their model deployment capabilities. As of 2021, they bought Zepl to give their platform a custom notebook experience (similar to other platforms like Databricks and Azure ML Studio). And not long after, they bought up Algorithmia to further empower their REST API capabilities. Then in November of 2021, they bought decision.ai. It seems that decision.ai claims to be a full data science platform, but with a focus on machine learning business decision-making (and I assume DataRobot bought them for the ML business decision-making features).

Databricks Raises $1.6 Billion Series H Investment at $38 Billion Valuation

You can read the full press release here.

H2O.ai Closes $100 Million in Funding Led by Customer Commonwealth Bank of Australia

You can read the full press release here. The “company is now valued at $1.7 billion with rapid adoption of H2O AI Cloud”.

Extended 2021 Data Science Platforms & Services List

Here are some new guys that have popped up on my radar!

Xpresso AI

  • https://xpresso.ai/
  • Xpresso AI is an “enterprise AI/ML application lifecycle management platform” that provides an “integrated set of frameworks and accelerators to help data scientists build cognitive solutions”. After reviewing their products page, you’ll see that Xpresso AI attempts to cover it all from model build to model deployment, plus data engineering to boot.

Arize AI

  • https://arize.com/
  • “Automatically discover issues, diagnose problems, and improve models with Arize’s machine learning observability platform”. From their website, it seems Arize seeks to cover model build to deployment, with an extra specialization in model diagnostics and ROI.

CNVRG.io

  • https://cnvrg.io/
  • Described as “an end-to-end machine learning platform to
    build and deploy AI models at scale”. It seems that Cnvrg is another DS Platform attempting to cover it all. Although it appears their services lean more heavily in the MLOps direction.

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