Domino Data LabThe enterprise AI platform to build, scale, and govern AI-powered applications

MLflowThe open source AI engineering platform for agents, LLMs and ML models

Comparison · MLOps Platforms · weekly run Nov 2

Domino Data Lab vs MLflow

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

The short answer

MLflow is the stronger AI pick in MLOps Platforms: it has a visibility score of 50.9 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 MLflow if…

You want the brand AI engines rank higher (50.9 vs 5.6)
AI answers describe it more positively (44% vs 35% positive)
free open-source software with no license fee
widely adopted MLOps standard and baseline

AI visibility side by side

Latest weekly run · Nov 2

Metric	Domino Data Lab	MLflow
Visibility score	5.6%	50.9%
Change vs last week	New	New
Rank in MLOps Platforms	#15	#1
Share of voice	2.5%	9.7%
Mentions this run	17	65
Positive in AI answers	35%	44%

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

Visibility score trend

Weekly runs over the last 60 days

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

Engine by engine

MLflow leads on 3 of 3 engines

ChatGPT

7.8%

48.5%

AI Mode

4.3%

60.6%

Perplexity

4.8%

43.7%

Domino Data LabMLflow

Head to head in AI answers

15 engine answers name both brands

5Domino Data Lab ranked higher

10MLflow ranked higher

Prompt	Engine	Domino Data Lab	MLflow
What are the best MLOps Platforms tools in 2026?	ChatGPT	#11	#5
What are the best MLOps Platforms tools in 2026?	Perplexity	#11	#5
Top MLOps platform options for B2B SaaS companies	ChatGPT	#8	#5
Best MLOps platform for enterprise	ChatGPT	#8	#4
Best MLOps platform for enterprise	Perplexity	#7	#6
Compare the leading MLOps Platforms platforms	ChatGPT	#10	#5
Compare the leading MLOps Platforms platforms	Perplexity	#10	#2
Best MLOps platform with AI features	ChatGPT	#10	#4
Which MLOps Platforms vendors do analysts recommend?	ChatGPT	#7	#8
Which MLOps Platforms vendors do analysts recommend?	AI Mode	#9	#2
Which MLOps Platforms vendors do analysts recommend?	Perplexity	#9	#7
What is the typical pricing model for MLOps Platforms software?	ChatGPT	#7	#9

Features, pricing & fit

Dimension	Domino Data Lab	MLflow
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.	Self-hosted from the open source package, started with one command or Docker.
Integrations	—	100+
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	Documentation, Community Slack, Mailing list mlflow-users@googlegroups.com, GitHub
Founded	2013	2018
Headquarters	San Francisco, CA	San Francisco, CA, United States
Employees	201–500	—
Funding	Strategic equity investment from UBS · $228M raised	—
Best for	Large enterprises in regulated industries such as life sciences, financial services and the public sector, especially code-first data science teams.	Teams of all sizes building LLM applications, agents and ML models who want open source tooling without vendor lock-in.