Domino Data Lab vs Determined

Domino Data Lab6.9Visit DDetermined6.8Visit

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

vs

D Determined #8 in Experiment Tracking 6.8/10 Free plan Free plan✓ 0 of 3 features Visit Determined

• Domino Data Lab fits best

  Enterprise teams prioritizing reproducibility and governance

• Determined fits best

  Teams training distributed models on their own

Advertiser disclosure: iTechGuides is reader-supported. We may earn a commission when you click some links. How we rank.

Side by side

Feature	Domino Data Lab 6.9/10 Visit ↗	DDetermined 6.8/10 Visit ↗
At a glance
Editor score	6.9	6.8
Ranking	#7 in Experiment Tracking	#8 in Experiment Tracking
Best for	Enterprise teams prioritizing reproducibility and governance	Teams training distributed models on their own
Pricing model	Paid	Free
Starting price	Not published	Not published
Free plan	—	✓ (best)
Free trial	—	—
Deployment	Cloud, Self-hosted	Cloud, Self-hosted
Platforms	Web	Web, Linux
Support	Docs, Tickets · 24/7	Community
Integrations	7 integrations	6 integrations
Built for	Enterprise	Small business, Mid-market, Enterprise
Features Domino Data Lab 3/3 · Determined 0/3
Self-hosted option	✓ (best)	Not published
Artifact storage	✓ (best)	Not published
Run comparison	✓ (best)	Not published
Specs
Free plan seats	Not published	Not published
Version control	Multiple	Not published
Deployment options	Both	Not published
Our review
Pros	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	Tracks code versions, metrics, checkpoints, and hyperparameters Combines distributed training with GPU scheduling and resource management Supports deployments to AWS, GCP, Kubernetes, and Slurm/PBS
Cons	Quote-based pricing makes plan costs harder to compare No free plan is offered Its scope extends well beyond experiment tracking into model operations	Experiment tracking is narrower than leading suites Workflows are centered on Python Support is community-based
Our verdict	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 →	Determined brings distributed training, hyperparameter tuning, experiment tracking, and resource management into an open-source deep learning platform. It is aimed at researchers and machine learning teams that train models on their own… Read the review →

Strengths and trade-offs

• 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

• Determined — where it wins

  • Tracks code versions, metrics, checkpoints, and hyperparameters
  • Combines distributed training with GPU scheduling and resource management
  • Supports deployments to AWS, GCP, Kubernetes, and Slurm/PBS

  Where it doesn't

  • Experiment tracking is narrower than leading suites
  • Workflows are centered on Python
  • Support is community-based

• 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 →
• DDetermined6.8/10 · Free plan

  A focused option for teams training distributed models on their own infrastructure.

  Visit DeterminedFull verdict →