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Head-to-head · ML Experiment Tracking Software

Databricks Mosaic AI vs Valohai

  • Updated Oct 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score Databricks Mosaic AI #5 in ML Experiment Tracking Software 8.5/10 14-day trial Free trial✓ 1 of 5 features Visit Databricks
Valohai #6 in ML Experiment Tracking Software 8.3/10 Pricing on request · 14-day trial Free trial✓ 1 of 5 features Visit Valohai

Databricks Mosaic AI leads on 0 checks, Valohai on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreDatabricks Mosaic AI · 8.5/10
  • Free trialboth

Databricks Mosaic AI scores higher on our rubric for ml experiment tracking software: 8.5 against 8.3 out of 10; our editors rank them #5 and #6.

Databricks Mosaic AI is the better fit for databricks lakehouse teams. Valohai is the better fit for governed multi-cloud enterprise ML teams.

  • Databricks Mosaic AI fits best

    Databricks lakehouse teams

  • Valohai fits best

    Governed multi-cloud enterprise ML teams

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Databricks Mosaic AI 8.5/10 Visit ↗ Valohai 8.3/10 Visit ↗
At a glance
Editor score 8.5 8.3
Ranking #5 in ML Experiment Tracking Software #6 in ML Experiment Tracking Software
Best for Databricks lakehouse teams Governed multi-cloud enterprise ML teams
Pricing model Paid Paid
Starting price — Pricing on request · 14-day trial
Free plan Not checked yet —
Free trial 14 days 14 days
Free trial length 14 days 14 days
Deployment Cloud Cloud, Self-hosted
Platforms Web Web
Support Docs Email, Docs
Built for Mid-market, Enterprise Mid-market, Enterprise
Features Databricks Mosaic AI 1/5 · Valohai 1/5
Run comparison Not checked yet Not checked yet
Artifact tracking Not checked yet Not checked yet
Dataset versioning Not checked yet Not checked yet
Model registry ✓ ✓
API and SDK access Not checked yet Not checked yet
Specs
Deployment options Not checked yet Not checked yet
Our review
Pros
  • MLflow tracking covers parameters, metrics, artifacts, runs, and code versions
  • Combines registry, serving, workflows, compute, data history, and monitoring
  • Unity Catalog integration supports centralized model governance
  • Tracks metrics, logs, parameters, code, data, and reproducibility information
  • Connects registries, pipelines, serving, and data versioning in one platform
  • Supports multi-cloud, Kubernetes, Slurm, on-premises, and distributed training
Cons
  • Paid usage-based billing can make costs vary by provider, region, and services
  • Committed Use Contracts require committed usage to access available discounts
  • Its broad scope may exceed the needs of teams seeking experiment tracking alone
  • Pricing requires contacting sales
  • There is no free plan
  • Its wider MLOps scope may exceed tracking-only requirements
Our verdict

Databricks Mosaic AI is a cloud-based platform for developing, deploying, monitoring, and governing machine-learning and generative-AI applications. It is aimed at organizations and technical teams building production AI systems across…

Read the review →

Valohai is an MLOps platform for data scientists, ML engineers, and enterprise ML teams. Its experiment tracking covers metrics, logs, parameters, and reproducibility information, while the wider platform manages code, data, models,…

Read the review →
  1. Databricks Mosaic AIML Experiment Tracking Software 8.514-day trial
  2. ValohaiML Experiment Tracking Software 8.3Pricing on request · 14-day trial

Strengths and trade-offs

  • Databricks Mosaic AI — where it wins

    • MLflow tracking covers parameters, metrics, artifacts, runs, and code versions
    • Combines registry, serving, workflows, compute, data history, and monitoring
    • Unity Catalog integration supports centralized model governance

    Where it doesn't

    • Paid usage-based billing can make costs vary by provider, region, and services
    • Committed Use Contracts require committed usage to access available discounts
    • Its broad scope may exceed the needs of teams seeking experiment tracking alone
  • Valohai — where it wins

    • Tracks metrics, logs, parameters, code, data, and reproducibility information
    • Connects registries, pipelines, serving, and data versioning in one platform
    • Supports multi-cloud, Kubernetes, Slurm, on-premises, and distributed training

    Where it doesn't

    • Pricing requires contacting sales
    • There is no free plan
    • Its wider MLOps scope may exceed tracking-only requirements
  • Databricks Mosaic AI8.5/10 · 14-day trial

    A broad ML platform for Databricks teams that need tracking through production operations.

    Visit DatabricksFull verdict →
  • Valohai8.3/10 · Pricing on request · 14-day trial

    A broad MLOps platform for teams that need tracking plus production governance.

    Visit ValohaiFull verdict →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update