Comparison

MLflow vs Portkey

On the evidence we track, Portkey leads this comparison with a composite score of 79/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
MLflow70
★Portkey79
Score
vioscaleAI score
MLflow70 / 100medium · 67%
Portkey79 / 100medium · 74%
Pricing
Free tier
MLflow✓
Portkey✓
Model
Portkeyfreemium
Price level
MLflowfree
Portkeymid
Starting price
MLflow–
Portkey$49
Transparent
MLflow✓
Portkey✓
Integrations
Count
MLflow9
Portkey1,600
Reliability
Status page
MLflow–
Portkey✓
Adoption
Dependent repos
MLflow5,089
Portkey–
Github stars
MLflow28,260
Portkey–
Package downloads weekly
MLflow9,993,245
Portkey–
Activity
Commits last 30d
MLflow100
Portkey–
Release
Cadence days
MLflow9
Portkey–
History
MLflow20 items
Portkey–
License
Spdx
Portkey–
Language
Primary
MLflowPython
Portkey–
Market
Availability
MLflow–
Content
Faq
MLflow6 items
Portkey6 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
PortkeyModel gateway / router
Deployment
Self-hostable / OSS core
MLflow✓
Portkey✓
Managed cloud available
MLflow✓
Portkey✓
On-prem / VPC deployment
MLflow✓
Portkey✓
Observability
LLM tracing / observability
MLflow✓
Portkey✓
Evaluation (offline / LLM-judge / human)
MLflow✓
Portkey✓
Dev
Prompt management + versioning
MLflow✓
Portkey✓
Tracking
Experiment tracking / model registry
MLflow✓
Portkey✓
Serving
Model serving / inference endpoint
MLflow✓
Portkey✓
Interop
OpenTelemetry / OpenLLMetry compatible
MLflow✓
Portkey-
Framework-agnostic
MLflow✓
Portkey✓
Gateway
Multi-provider model support
MLflow✓
Portkey✓
Data
No-train-on-customer-data guarantee
MLflow-
PortkeyUnknown

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

Portkey

Leader

Platform providing API gateway functionality, observability with logging and traces, safety guardrails, access governance, and prompt version management for teams deploying AI applications at scale.

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 ↗

Portkey

Leader
from $49/moHybridFree tier

Free tier with 10k logs/month. Production at $49/month with usage overages. Enterprise custom pricing for compliance-focused organizations.

  • DeveloperFree
    • Universal API & Key Management
    • Routing, Fallbacks, Load Balancing, Retries
    • 3 Prompt Templates with Playground, Versioning, Variables
    • Logs, Traces, Feedback, Custom Metadata, Filters
    • Simple Caching
    • +3 more
  • Production$49/month + $9 per 100k request overage
    • Universal API, Fallbacks, Load Balancing, Retries
    • Unlimited Prompt Templates with Playground, API Deployment, Versioning, Variables
    • Logs, Traces, Feedback, Metadata, Filters, Alerts
    • LLM & Partner Guardrails
    • Role-Based Access Control, Service Account API Keys
    • +3 more
  • EnterpriseContact sales
    • Custom retention periods for logs and metrics
    • Advanced Evaluation Templates with custom guardrail hooks
    • Role-Based Access Control, SSO (Okta), Granular Budget & Rate Limits
    • Private Cloud Deployment, VPC Hosting, Data Export to Data Lakes
    • SOC2 Type 2, GDPR, HIPAA compliance certifications
    • +3 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✓
Portkey✓
CLI
MLflow✓
Portkey✓
Deployment
Cloud / SaaS
MLflow✓
Portkey✓
Self-hosted
MLflow✓
Portkey✓
On-premise
MLflow✓
Portkey✓
Hybrid
MLflow✗
Portkey✓

Integrations

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

In common (3)
  • OpenAI
  • Claude Code
  • Anthropic

MLflow

32 total - 29 not shared
  • Databricks
  • AWS S3
  • Google Cloud Storage
  • Azure Storage
  • AzureML
  • Kubernetes
  • LangChain
  • Pydantic AI
  • Anthropic Claude
  • Google Gemini
  • SAP AI Core
  • JFrog
  • Aliyun
  • PostgreSQL
  • MySQL
  • MSSQL
  • OpenAI Codex
  • Gemini
  • Ollama
  • OpenClaw
  • Qwen Code
  • LiteLLM
  • Amazon S3
  • OpenTelemetry/OTLP
  • +5 more
Independently observed

Portkey

Leader
16 total - 13 not shared
  • Google Cloud (Vertex AI, Gemini)
  • Azure
  • AWS
  • GCP
  • Langgraph
  • CrewAI
  • Strands Agents
  • Google ADK
  • Claude
  • Mistral
  • Google
  • MongoDB
  • Vertex AI
Independently observed
Still deciding?

MLflow or Portkey: 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.