Databricks Mosaic AI vs Domino Data Lab

Databricks Mosaic AI7.2Visit Domino Data Lab6.9Visit

Higher score Databricks Mosaic AI #4 in Experiment Tracking 7.2/10 14-day trial ✓ 0 of 3 features Visit Databricks

vs

Domino Data Lab #7 in Experiment Tracking 6.9/10 Pricing on request ✓ 3 of 3 features Try Domino Data Lab

• Databricks Mosaic AI fits best

  Databricks users tracking experiments in a managed stack

• Domino Data Lab fits best

  Enterprise teams prioritizing reproducibility and governance

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Side by side

Feature	Databricks Mosaic AI 7.2/10 Visit ↗	Domino Data Lab 6.9/10 Visit ↗
At a glance
Editor score	7.2	6.9
Ranking	#4 in Experiment Tracking	#7 in Experiment Tracking
Best for	Databricks users tracking experiments in a managed stack	Enterprise teams prioritizing reproducibility and governance
Pricing model	Paid	Paid
Starting price	Not published	Not published
Free plan	Not published	—
Free trial	—	—
Deployment	Cloud	Cloud, Self-hosted
Platforms	Web	Web
Support	Docs	Docs, Tickets · 24/7
Built for	Mid-market, Enterprise	Enterprise
Features Databricks Mosaic AI 0/3 · Domino Data Lab 3/3
Self-hosted option	Not published	✓ (best)
Artifact storage	Not published	✓ (best)
Run comparison	Not published	✓ (best)
Specs
Free plan seats	Not published	Not published
Version control	Not published	Multiple
Deployment options	Not published	Both
Our review
Pros	Tracks run parameters, metrics, artifacts, and code versions with MLflow. Connects experiment tracking to a Unity Catalog model registry and serving. Includes orchestration, managed compute, inference, and model monitoring.	Automatically records code, packages, data, and project lineage Compares runs and lets teams search and inspect experiments Offers managed cloud and self-managed VPC or on-premises plans
Cons	Cloud deployment only. Support channels listed are documentation. Usage-based charges vary by cloud provider, region, and selected services.	Quote-based pricing makes plan costs harder to compare No free plan is offered Its scope extends well beyond experiment tracking into model operations
Our verdict	Databricks Mosaic AI brings experiment tracking together with tools for developing, deploying, monitoring, and governing machine-learning and generative-AI applications. Its MLflow tracking covers parameters, metrics, artifacts, runs, and… Read the review →	Domino Data Lab brings experiment tracking into an enterprise AI platform for teams developing and operating machine-learning and AI applications. It is suited to organizations that need reproducible work and governance alongside… Read the review →

Strengths and trade-offs

• Databricks Mosaic AI — where it wins

  • Tracks run parameters, metrics, artifacts, and code versions with MLflow.
  • Connects experiment tracking to a Unity Catalog model registry and serving.
  • Includes orchestration, managed compute, inference, and model monitoring.

  Where it doesn't

  • Cloud deployment only.
  • Support channels listed are documentation.
  • Usage-based charges vary by cloud provider, region, and selected services.

• Domino Data Lab — where it wins

  • Automatically records code, packages, data, and project lineage
  • Compares runs and lets teams search and inspect experiments
  • Offers managed cloud and self-managed VPC or on-premises plans

  Where it doesn't

  • Quote-based pricing makes plan costs harder to compare
  • No free plan is offered
  • Its scope extends well beyond experiment tracking into model operations

• Databricks Mosaic AI7.2/10 · 14-day trial

  MLflow experiment tracking sits alongside registry, orchestration, serving, and managed compute.

  Visit DatabricksFull verdict →
• Domino Data Lab6.9/10 · Pricing on request

  A governance-focused experiment platform with managed cloud and self-managed deployment options.

  Try Domino Data LabFull verdict →