vioscaleAI
Comparison

MLflow vs Ollama

No clear leader: Ollama (73.3) and MLflow (70.4) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.

MLflow full profile →Ollama full profile →
Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
MLflow70
Ollama73
Score
vioscaleAI score
MLflow70 / 100medium · 67%
Ollama73 / 100medium · 56%
Pricing
Free tier
MLflow✓
Ollama✓
Model
Price level
MLflowfree
Ollamamid
Starting price
MLflow–
Ollama$20
Transparent
MLflow✓
Ollama✓
Integrations
Count
MLflow9
Ollama40,000
Security
Gdpr
MLflow–
Ollama✓
Scorecard
MLflow5.4
Ollama–
Trust center
Vulnerabilities
Adoption
Dependent repos
MLflow5,089
Ollama0
Github stars
MLflow28,260
Ollama183,171
Package downloads weekly
MLflow9,993,245
Ollama2,940,647
Activity
Commits last 30d
MLflow100
Ollama100
Release
Cadence days
MLflow9
Ollama2
History
MLflow20 items
Ollama20 items
License
Spdx
MLflowApache-2.0
OllamaMIT
Language
Primary
MLflowPython
OllamaGo
Market
Availability
Content
Faq
MLflow6 items
Ollama8 items

Capabilities

Feature-by-feature on the axes that matter for mlops & llmops tools. “-” means undocumented, not absent.

Core
Tool role
MLflowEnd-to-end ML platform
OllamaEnd-to-end ML platform
Deployment
Self-hostable / OSS core
MLflow✓
Ollama✓
Managed cloud available
MLflow✓
Ollama✓
On-prem / VPC deployment
MLflow✓
Ollama✓
Observability
LLM tracing / observability
MLflow✓
Ollama✓
Evaluation (offline / LLM-judge / human)
MLflow✓
Ollama✓
Dev
Prompt management + versioning
MLflow✓
Ollama✓
Tracking
Experiment tracking / model registry
MLflow✓
Ollama-
Serving
Model serving / inference endpoint
MLflow✓
Ollama✓
Interop
OpenTelemetry / OpenLLMetry compatible
MLflow✓
Ollama✓
Framework-agnostic
MLflow✓
Ollama✓
Gateway
Multi-provider model support
MLflow✓
Ollama✓
Data
No-train-on-customer-data guarantee
MLflow-
OllamaYes

What each one is

The product in its own terms, so the numbers below have context.

MLflow

A comprehensive platform that helps teams debug, evaluate, monitor, and optimize production AI applications. Provides experiment tracking, prompt management, model deployment, systematic evaluation tools, and a unified API gateway for managing access to multiple LLM providers with cost controls.

Independently observed

Ollama

Ollama enables developers to run open-source language models either on their own computers or through Ollama's cloud infrastructure, with a guarantee that user prompts and responses are never logged, stored, or used for training. Models can run locally without internet (limited by hardware) or in the cloud with no performance constraints.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

MLflow

Open source
as of verify ↗

Ollama

from $20/moHybridFree tier

Free to start; Pro from $20/mo with $60 usage credits; Max at $100/mo with $300 usage credits; Team at $500/mo with shared $1,000 usage credits; Enterprise with custom pricing

  • FreeFree
    • Run models locally
    • Starter usage credits included
    • Access to starter models
    • Add credits to unlock all models
    • No service fees
  • Pro$20/mo or $200/yr billed annually
    • Everything in Free, plus
    • $60 of usage credits per month
    • Access to larger pro models
    • Run multiple models concurrently
    • Fast mode (coming soon)
  • Max$100/mo
    • Everything in Pro, plus
    • $300 of usage credits per month
    • Early access to the newest models
    • 10 concurrent requests
  • Team$500/mo
    • Unlimited users
    • $1,000 of usage credits per month, shared across the team
    • Centralized billing and administration
    • Priority support
    • Shared projects, skills, and instructions
  • EnterpriseContact sales
    • Everything in Team, plus
    • Model access controls
    • Limit team access to specific models
    • Set cost budgets for users and API keys
    • Private Slack channel with dedicated support
    • +1 more
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
MLflow✓
Ollama✗
macOS
MLflow✗
Ollama✓
Windows
MLflow✗
Ollama✓
Linux
MLflow✗
Ollama✓
CLI
MLflow✓
Ollama✓
Deployment
Cloud / SaaS
MLflow✓
Ollama✓
Self-hosted
MLflow✓
Ollama✓
On-premise
MLflow✓
Ollama✗
Hybrid
MLflow✗
Ollama✓

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

In common (5)
  • LangChain
  • Claude Code
  • Anthropic
  • OpenClaw
  • Docker

MLflow

32 total - 27 not shared
  • Databricks
  • AWS S3
  • Google Cloud Storage
  • Azure Storage
  • AzureML
  • Kubernetes
  • Pydantic AI
  • Anthropic Claude
  • OpenAI
  • Google Gemini
  • SAP AI Core
  • JFrog
  • Aliyun
  • PostgreSQL
  • MySQL
  • MSSQL
  • OpenAI Codex
  • Gemini
  • Ollama
  • Qwen Code
  • LiteLLM
  • Amazon S3
  • OpenTelemetry/OTLP
  • OpenAI-compatible endpoints
  • +3 more
Independently observed

Ollama

72 total - 67 not shared
  • OpenCode
  • Codex
  • Copilot
  • Droid
  • Open WebUI
  • Onyx
  • LibreChat
  • Lobe Chat
  • NextChat
  • Perplexica
  • big-AGI
  • Lollms WebUI
  • ChatOllama
  • Bionic GPT
  • Chatbot UI
  • Hollama
  • Chatbox
  • Ollama RAG Chatbot
  • Dify.AI
  • AnythingLLM
  • Maid
  • Witsy
  • Cherry Studio
  • Ollama App
  • +43 more
Independently observed
Still deciding?

MLflow or Ollama: which one depends on you

A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.

Free to run, no account needed to start. How the evaluation works

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.