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SlateIndex
CometThe Fastest Path to Agents That Work
vs
Domino Data LabThe enterprise AI platform to build, scale, and govern AI-powered applications
Comparison · MLOps Platforms · weekly run Nov 2

Comet vs Domino Data Lab

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

The short answer

Comet is the stronger AI pick in MLOps Platforms: it has a visibility score of 13.6 versus 5.6 for Domino Data Lab, and ranks ahead in 25% of the answers that name both.

Choose Comet if…

  • You want the brand AI engines rank higher (13.6 vs 5.6)
  • You want a free plan to start
  • AI answers describe it more positively (53% vs 35% positive)
  • Usage-based pricing suits your budget better than flat tiers

Choose Domino Data Lab if…

  • You prefer a larger, established vendor (201–500 employees)
  • Flat tiers pricing suits your budget better than usage-based
  • Reproducible development environments
  • Centralized governance and lifecycle policy enforcement

AI visibility side by side

Latest weekly run · Nov 2

Metric Comet Domino Data Lab
Visibility score13.6%5.6%
Change vs last weekNewNew
Rank in MLOps Platforms#10#15
Share of voice2.7%2.5%
Mentions this run1917
Positive in AI answers53%35%

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 2Comet 14%

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

Engine by engine

Comet leads on 3 of 3 engines

ChatGPT
21.3%
7.8%
AI Mode
4.8%
4.3%
Perplexity
14.8%
4.8%
CometDomino Data Lab

Head to head in AI answers

4 engine answers name both brands

1Comet ranked higher
3Domino Data Lab ranked higher

Features, pricing & fit

DimensionCometDomino Data Lab
Pricing modelUsage-basedFlat tiers
Entry priceFree; paid from $19 / moContact sales
Free planYesNo
DeploymentCloud, virtual private cloud, on-premises, or self-hosted open sourceSingle-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.
Integrations60+—
ComplianceSOC 2, ISO 27001, ISO 9001, HIPAA, GDPRISO 27001, ISO 9001, SOC 2, HIPAA, GDPR
SupportCommunity (Slack and GitHub), Self-service (Ask AI and Opik MCP Server), Email support, Dedicated support team and SLAsPremium 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 customers
Founded20172013
HeadquartersNew York, NY, United StatesSan Francisco, CA
Employees51–200201–500
FundingSeries B · $70M raisedStrategic equity investment from UBS · $228M raised
Best forDevelopers and teams building LLM applications and AI agents who need tracing, testing and evaluation.Large enterprises in regulated industries such as life sciences, financial services and the public sector, especially code-first data science teams.

Plans side by side

Comet

Opik Open Source$0free
Opik Free Cloud$0free plan
Opik Pro Cloud$19month
Opik EnterpriseCustomcustom
MLOps Free$0free plan
MLOps Pro$19user/month
MLOps EnterpriseCustomcustom
Comet pricing

Domino Data Lab

Domino CloudCustomsubscription
PremiumCustomsubscription
EnterpriseCustomsubscription
Domino Data Lab pricing

Pros and cons

Themes from the AI answers that mention each brand

Comet

  • Free tier for individuals and small projects
  • Robust experiment tracking
  • Great visualization tools
  • Clear, publicly listed pricing

    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

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

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