Price checkPer free self-hosted
Open Source (self-hosted)FreeManaged MLflow (Databricks)Custom
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All MLflow Plans & Pricing

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Open Source (self-hosted)

  • 100% open source under the Apache 2.0 license
  • Experiment tracking, model registry, and evaluation
  • Tracing and observability for agents and LLM apps
  • Unlimited users — no license fees ever
  • You provide and pay for your own compute, storage, and database

Managed MLflow (Databricks)

  • Fully managed MLflow built into the Databricks platform
  • Billed via Databricks compute consumption — no separate MLflow list price
  • Enterprise security, scaling, and support from Databricks
  • Free trial available through Databricks
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Quick Answer
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MLflow uses custom pricing as of June 2026 with 2 plans available. Contact MLflow directly for a personalized quote. Plan: Open Source (self-hosted) (free). Enterprise pricing is available on request. Pricing depends on your chosen tier, contract length, and negotiated discounts.

Use the interactive pricing calculator to estimate your exact cost based on team size and requirements.

  • Free tier: Yes

MLflow offers 2 pricing tiers: Open Source (self-hosted), Managed MLflow (Databricks). The Managed MLflow (Databricks) plan is teams already on (or moving to) databricks who want mlflow without running infrastructure.

Compared to other mlops platforms software, MLflow is positioned at the budget-friendly price point.

Last verified: | Sources: 1 pricing pages and reviews

How much does MLflow cost?

MLflow uses custom pricing across 2 plans. Contact MLflow directly for a personalized quote. Plans include Open Source (self-hosted) (free), Managed MLflow (Databricks) (custom pricing).

MLflow Pricing Overview

MLflow uses custom pricing — contact their sales team for a quote. The Open Source (self-hosted) plan is free and is best for teams comfortable running their own tracking server who want zero license cost. The Managed MLflow (Databricks) plan requires contacting sales for a custom quote and is designed for teams already on (or moving to) databricks who want mlflow without running infrastructure.

This pricing was last verified in June 11, 2026 from 1 independent source.

Try MLflow Free
MLflow is an open-source AI engineering platform for tracking experiments, registering models, evaluating LLM applications, and tracing agents. The software itself is 100% open source under the Apache 2.0 license — MLflow's site describes it as "forever free, no strings attached" — so a self-hosted deployment has no license cost; you pay only for the infrastructure you run it on (tracking server, artifact storage, database). For teams that don't want to operate that infrastructure, Managed MLflow is offered as part of the Databricks platform. Databricks publishes no separate list price for Managed MLflow: it is billed through normal Databricks platform consumption (compute usage), and a free trial is available through Databricks. Budgeting for MLflow is therefore really a build-vs-buy question — self-hosting trades engineering time for zero license fees, while the managed offering folds MLflow's cost into your overall Databricks bill.

How MLflow Pricing Compares

Software Starting Price Top Price
MLflow Custom Custom
Comet ML Free $19/month
ClearML Free $15/month
Determined AI Custom Custom
Neptune.ai $150/month $250/month
Weights & Biases Free $60/month

Browse all MLOps Platforms pricing →

MLflow Contract Terms

MLflow contracts do not auto-renew. Changes require advance notice. These terms are sourced from verified buyer experiences.

Contract Terms
Auto-Renewal No

MLflow Pricing FAQ

01 Is MLflow free?

Yes. MLflow is 100% open source under the Apache 2.0 license, with no paid edition of the software itself. Self-hosting it costs nothing in license fees — your only costs are the infrastructure you run it on, such as the tracking server, artifact storage, and backing database.

02 How much does Managed MLflow on Databricks cost?

Databricks publishes no separate list price for Managed MLflow. It is part of the Databricks platform and billed through normal platform consumption (compute usage), so the cost depends entirely on your Databricks workloads. A free trial is available through Databricks.

03 What is the difference between open-source MLflow and Managed MLflow?

The core software is the same — Managed MLflow is built on open-source MLflow. The managed version removes the operational work (hosting, scaling, upgrades, security) and integrates with the rest of the Databricks workspace, while self-hosting gives you full control and no platform dependency.

04 Does MLflow charge per user or per model?

No. The open-source platform has no per-user, per-model, or per-experiment charges — it is free for unlimited users. On the managed side, Databricks bills by platform consumption rather than MLflow-specific units.

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