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Anaconda Notebooks vs Domino Enterprise AI Platform

Anaconda Notebooks

anaconda.com

Domino Enterprise AI Platform

domino.ai

Side by side

FigureAnaconda NotebooksDomino Enterprise AI Platform
Price from$15/mo—
Free planYes—
Free trial——
Open source——
WebYesYes
Plans published80
Spec score · Data Science and Machine Learning Platforms8.4 (#4)5.8 (#20)
Spec score · Data Science Analytics8.4 (#6)5.8 (#27)
Founded20122013
HeadquartersAustin, Texas, USASan Francisco, California, United States

Plans

Anaconda Notebooks

  • FreeFree
  • Starter$15 a month
  • Business$50 a month
  • CustomPrice not published
  • Anaconda Core FreeFree
  • Anaconda Core Starter$15 a month
  • Anaconda Core Business$50 a month
  • Anaconda Core CustomPriced on request

Anaconda Notebooks pricing →

Domino Enterprise AI Platform

No plans published.

Domino Enterprise AI Platform pricing →

In their own words

Anaconda Notebooks

Anaconda Notebooks puts JupyterLab in a cloud environment for writing, editing, and running Python code through an Anaconda Cloud account. Users can start data science and AI projects in a browser with packages and computing resources supplied by the service, without installing Python locally. Two preconfigured environments are available: one with the latest Anaconda Distribution packages and another with packages selected for AI workflows. Notebooks can be shared by URL so others can open a copy, work with it through an Anaconda account, or download it. Outputs can be deployed as web applications using Panel. Anaconda Assistant for Python can analyze tables and suggest ways to work with data, while Data Connectors let users save CSV files on Anaconda Cloud for Excel or notebook access. The Free plan costs nothing and includes 5 GB cloud storage. Starter costs $15 a month, billed monthly, with 10 GB storage per user. Organizations may block notebook sharing, resulting in a 403 error when a user tries to share.

Visit anaconda.com

Domino Enterprise AI Platform

Domino Enterprise AI Platform has no write-up on Specifiction yet; its figures are above.

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