Domino Data LabThe enterprise AI platform to build, scale, and govern AI-powered applications
vs
Weights & BiasesAI developer platform for building GenAI applications and fine-tuning LLMs
Comparison · MLOps Platforms · weekly run Nov 2
Domino Data Lab vs Weights & Biases
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Weights & Biases is the stronger AI pick in MLOps Platforms: it has a visibility score of 29.7 versus 5.6 for Domino Data Lab, and ranks ahead in 67% of the answers that name both.
Choose Domino Data Lab if…
- You need a self-hosted or on-premises option
- You need ISO 27001 or ISO 9001 or SOC 2 or HIPAA or GDPR coverage
- Reproducible development environments
- Centralized governance and lifecycle policy enforcement
Choose Weights & Biases if…
- You want the brand AI engines rank higher (29.7 vs 5.6)
- AI answers describe it more positively (53% vs 35% positive)
- You need ISO/IEC 27001:2022 or ISO/IEC 27017:2015 or ISO/IEC 27018:2019 or SOC 2 Type II coverage
- Polished, developer-first experiment tracking
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Domino Data Lab | Weights & Biases |
|---|---|---|
| Visibility score | 5.6% | 29.7% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #15 | #6 |
| Share of voice | 2.5% | 7% |
| Mentions this run | 17 | 47 |
| Positive in AI answers | 35% | 53% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Domino Data Lab 0pp · Weights & Biases 0pp over 0 weekly runs.
Engine by engine
Weights & Biases leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
Domino Data LabWeights & Biases
Head to head in AI answers
12 engine answers name both brands
4Domino Data Lab ranked higher
8Weights & Biases ranked higher
| Prompt | Engine | Domino Data Lab | Weights & Biases |
|---|---|---|---|
| What are the best MLOps Platforms tools in 2026? | ChatGPT | #11 | #8 |
| What are the best MLOps Platforms tools in 2026? | AI Mode | #7 | #10 |
| What are the best MLOps Platforms tools in 2026? | Perplexity | #11 | #6 |
| Top MLOps platform options for B2B SaaS companies | ChatGPT | #8 | #7 |
| Best MLOps platform for enterprise | ChatGPT | #8 | #10 |
| Compare the leading MLOps Platforms platforms | ChatGPT | #10 | #8 |
| Compare the leading MLOps Platforms platforms | Perplexity | #10 | #8 |
| Best MLOps platform with AI features | ChatGPT | #10 | #6 |
| Which MLOps Platforms vendors do analysts recommend? | Perplexity | #9 | #6 |
| What is the typical pricing model for MLOps Platforms software? | ChatGPT | #7 | #5 |
| Official website of the top MLOps platform vendors | AI Mode | #6 | #9 |
| Official website of the top MLOps platform vendors | Perplexity | #9 | #11 |
Features, pricing & fit
| Dimension | Domino Data Lab | Weights & Biases |
|---|---|---|
| Pricing model | Flat tiers | — |
| Entry price | Contact sales | — |
| Free plan | No | — |
| Deployment | Single-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. | Data residency and isolated compute and storage are supported |
| Compliance | ISO 27001, ISO 9001, SOC 2, HIPAA, GDPR | ISO/IEC 27001:2022, ISO/IEC 27017:2015, ISO/IEC 27018:2019, SOC 2 Type II |
| Support | Premium 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 | — |
| Founded | 2013 | — |
| Headquarters | San Francisco, CA | — |
| Employees | 201–500 | — |
| Funding | Strategic equity investment from UBS · $228M raised | $50M round led by Daniel Gross and Nat Friedman |
| Best for | 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
Domino Data Lab
Domino CloudCustomsubscription
PremiumCustomsubscription
EnterpriseCustomsubscription
Weights & Biases
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
Weights & Biases
- Polished, developer-first experiment tracking
- Strong LLM observability and evaluation
- Hyperparameter optimization and sweeps
- Good collaboration features for teams
- Highly rated by users, about 4.5/5 on G2
- Pricing is unclear and usage-based charges may apply
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Domino Data Lab vs Weights & Biases”, https://slateindex.ai/compare/domino-data-lab-vs-weights-biases, data of Nov 2, 2026. Licence: CC BY 4.0.