Domino Data LabThe enterprise AI platform to build, scale, and govern AI-powered applications
vs
TectonReal-time enterprise feature store
Comparison · MLOps Platforms · weekly run Nov 2
Domino Data Lab vs Tecton
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Domino Data Lab is the stronger AI pick in MLOps Platforms: it has a visibility score of 5.6 versus 1.2 for Tecton.
Choose Domino Data Lab if…
- You want the brand AI engines rank higher (5.6 vs 1.2)
- AI answers describe it more positively (35% vs 0% positive)
- You need a self-hosted or on-premises option
- You need ISO 9001 or SOC 2 or HIPAA or GDPR coverage
Choose Tecton if…
- You need SOC 2 Type II or GDPR (DPA available) coverage
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Domino Data Lab | Tecton |
|---|---|---|
| Visibility score | 5.6% | 1.2% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #15 | #38 |
| Share of voice | 2.5% | 0.3% |
| Mentions this run | 17 | 2 |
| Positive in AI answers | 35% | 0% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Domino Data Lab 0pp · Tecton 0pp over 0 weekly runs.
Engine by engine
Domino Data Lab leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
Domino Data LabTecton
Head to head in AI answers
0 engine answers name both brands
0Domino Data Lab ranked higher
0Tecton ranked higher
Features, pricing & fit
| Dimension | Domino Data Lab | Tecton |
|---|---|---|
| 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. | Hybrid SaaS, with features stored in the customer's cloud account; also offers a Virtual Private Tecton model with a shared-responsibility split |
| Compliance | ISO 27001, ISO 9001, SOC 2, HIPAA, GDPR | SOC 2 Type II, ISO 27001, GDPR (DPA available) |
| 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 | San Francisco, California (Databricks, parent company) |
| Employees | 201–500 | — |
| Funding | Strategic equity investment from UBS · $228M raised | Seed and Series A · $160M raised |
| Best for | Large enterprises in regulated industries such as life sciences, financial services and the public sector, especially code-first data science teams. | Larger teams running production ML and AI systems that need real-time features |
Plans side by side
Domino Data Lab
Domino CloudCustomsubscription
PremiumCustomsubscription
EnterpriseCustomsubscription
Tecton
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
Tecton
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Domino Data Lab vs Tecton”, https://slateindex.ai/compare/domino-data-lab-vs-tecton, data of Nov 2, 2026. Licence: CC BY 4.0.