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3DEXPERIENCE Enterprise Data Science vs Deepnote

3DEXPERIENCE Enterprise Data Science

3ds.com

Deepnote

deepnote.com

Side by side

Figure3DEXPERIENCE Enterprise Data ScienceDeepnote
Price from—$3,920/mo
Free plan—Yes
Free trial—Yes
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
API—Yes
Self-hosted—Yes
Plans published13
Spec score · Data Science Platforms7.3 (#16)8.5 (#4)
SupportDassault Systèmes lists 24/7 cloud support for its cloud offers and directs customers to its support portal for product or service issues, including security incidents.Deepnote provides all customers technical support through Intercom and email on weekdays from 9 am to 5 pm Pacific Time as a minimum.

Plans

3DEXPERIENCE Enterprise Data Science

  • Enterprise Data Science rolesPriced on request

3DEXPERIENCE Enterprise Data Science pricing →

Deepnote

  • FreeFree
  • Team$3,920 a month
  • EnterprisePriced on request

Deepnote pricing →

In their own words

3DEXPERIENCE Enterprise Data Science

3DEXPERIENCE Enterprise Data Science has no write-up on Specifiction yet; its figures are above.

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Deepnote

Deepnote is an AI workspace for data professionals working on data analysis, exploration, and machine learning. Its copilot can chat with data, make charts, and write code; notebooks can also become dashboards or interactive apps with live data. Teams can collaborate in notebooks, comment on blocks, and share work by link or email invitation. Notebooks can run on hourly, daily, weekly, or monthly schedules, or be deployed as APIs. Listed integrations include PostgreSQL, BigQuery, Amazon S3, MySQL, Snowflake, GitHub, and dbt. Deepnote supports Python, SQL, R, and Stata, with a hybrid execution model and notebook formats including .deepnote, .ipynb, .qmd, .py, and PDF. The free plan allows up to three editors and five projects, with seven-day revision history. Paid pricing starts at $39/user/mo (annual); a 14-day trial is listed. Deepnote says it has SOC 2 Type II certification, encrypts data at rest and in transit, and does not use customer data to improve AI or ML models.

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