Apache Airflow vs Domino Data Lab
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 5.2 for Apache Airflow, and ranks ahead in 100% of the answers that name both.
Choose Apache Airflow if…
- AI answers describe it more positively (40% vs 35% positive)
- free and open-source under Apache 2.0 license
- recommended as orchestration in practical vendor-neutral stacks
Choose Domino Data Lab if…
- You want the brand AI engines rank higher (5.6 vs 5.2)
- 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
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Apache Airflow | Domino Data Lab |
|---|---|---|
| Visibility score | 5.2% | 5.6% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #18 | #15 |
| Share of voice | 1.5% | 2.5% |
| Mentions this run | 10 | 17 |
| Positive in AI answers | 40% | 35% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Apache Airflow 0pp · Domino Data Lab 0pp over 0 weekly runs.
Engine by engine
Domino Data Lab leads on 2 of 3 engines
Head to head in AI answers
1 engine answers name both brands
| Prompt | Engine | Apache Airflow | Domino Data Lab |
|---|---|---|---|
| What are the best MLOps Platforms tools in 2026? | ChatGPT | #14 | #11 |
Features, pricing & fit
| Dimension | Apache Airflow | Domino Data Lab |
|---|---|---|
| Pricing model | — | Flat tiers |
| Entry price | — | Contact sales |
| Free plan | — | No |
| Deployment | Self-hosted, installed via PyPI as the apache-airflow package or deployed from Docker images. | 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. |
| Integrations | 98+ | — |
| Compliance | — | ISO 27001, ISO 9001, SOC 2, HIPAA, GDPR |
| 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 | 2015 | 2013 |
| Headquarters | Wilmington, Delaware | San Francisco, CA |
| Employees | — | 201–500 |
| Funding | — | Strategic equity investment from UBS · $228M raised |
| Best for | Teams that run both data engineering and data science workflows and want to define them in Python. | 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
Apache Airflow
Pricing not available.
Domino Data Lab
Pros and cons
Themes from the AI answers that mention each brand
Apache Airflow
- free and open-source under Apache 2.0 license
- recommended as orchestration in practical vendor-neutral stacks
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, “Apache Airflow vs Domino Data Lab”, https://slateindex.ai/compare/apache-airflow-vs-domino-data-lab, data of Nov 2, 2026. Licence: CC BY 4.0.