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Domino Data LabThe enterprise AI platform to build, scale, and govern AI-powered applications
vs
JupyterFree software, open standards, and web services for interactive computing across all programming languages
Comparison · MLOps Platforms · weekly run Nov 2

Domino Data Lab vs Jupyter

Which one do AI engines recommend, and how do they differ on price, fit and features?

Track both brands

The short answer

Domino Data Lab is the stronger AI pick in MLOps Platforms: it has a visibility score of 5.6 versus 4.6 for Jupyter.

Choose Domino Data Lab if…

  • You want the brand AI engines rank higher (5.6 vs 4.6)
  • You need ISO 27001 or ISO 9001 or SOC 2 or HIPAA or GDPR coverage
  • You prefer a larger, established vendor (201–500 employees)
  • Reproducible development environments

Choose Jupyter if…

  • Interactive notebook environments
  • Support for data visualization and experiment tracking
  • Included in common ML frameworks and environments

AI visibility side by side

Latest weekly run · Nov 2

Metric Domino Data Lab Jupyter
Visibility score5.6%4.6%
Change vs last weekNewNew
Rank in MLOps Platforms#15#20
Share of voice2.5%0.7%
Mentions this run175
Positive in AI answers35%—

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 2Domino Data Lab 6%

Domino Data Lab 0pp · Jupyter 0pp over 0 weekly runs.

Engine by engine

Domino Data Lab leads on 2 of 3 engines

ChatGPT
7.8%
3.3%
AI Mode
4.3%
7.4%
Perplexity
4.8%
3.1%
Domino Data LabJupyter

Head to head in AI answers

0 engine answers name both brands

0Domino Data Lab ranked higher
0Jupyter ranked higher

Features, pricing & fit

DimensionDomino Data LabJupyter
Pricing modelFlat tiers—
Entry priceContact sales—
Free planNo—
DeploymentSingle-tenant managed SaaS (Domino Cloud), or self-managed in the customer's VPC or on-premises, with hybrid and multicloud operation via Domino Nexus. Runs on Kubernetes.Self-hosted on centralized on-premises or off-site infrastructure, scalable with Docker and Kubernetes; the project does not provide Jupyter as a service.
ComplianceISO 27001, ISO 9001, SOC 2, HIPAA, GDPR—
SupportPremium support with 2 business day response for non-urgent issues and 2 hour response for urgent issues, Enterprise support with 1 business day response for non-urgent issues and 1 hour response for urgent issues, Designated customer success manager on Enterprise plans, Security team available 24/7 for enterprise customersCommunity Discourse forum, Jupyter Security GitHub repository, Third-party Jupyter support companies
Founded20132014
HeadquartersSan Francisco, CABerkeley, United States
Employees201–50011–50
FundingStrategic equity investment from UBS · $228M raisedFoundation pledges (Sloan, Moore, Helmsley Charitable Trust)
Best forLarge enterprises in regulated industries such as life sciences, financial services and the public sector, especially code-first data science teams.Companies, classrooms and research labs that need interactive notebooks for data science, scientific computing and machine learning.

Plans side by side

Domino Data Lab

Domino CloudCustomsubscription
PremiumCustomsubscription
EnterpriseCustomsubscription
Domino Data Lab pricing

Jupyter

Pricing not available.

Pros and cons

Themes from the AI answers that mention each brand

Domino Data Lab

  • Reproducible development environments
  • Centralized governance and lifecycle policy enforcement
  • Suited to collaborative, governed enterprise data science at scale
  • Analyst recognition, such as a Gartner Visionary placement

    Jupyter

    • Interactive notebook environments
    • Support for data visualization and experiment tracking
    • Included in common ML frameworks and environments

      Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

      Cite as: SlateIndex, “Domino Data Lab vs Jupyter”, https://slateindex.ai/compare/domino-data-lab-vs-jupyter, data of Nov 2, 2026. Licence: CC BY 4.0.