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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
⇄ Comparison dimension — pick the market you're actually shopping in
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Union Cloud
✓ verifiedPaid
Cloud-agnostic AI/ML workflow orchestrator that runs pipelines inside a customer's own infrastructure for compute-heavy teams.
25K visits/mo
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The New GitBook
✓ verifiedFreemium
Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.
653K visits/mo2.9K saves
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Code to Flow
✓ verifiedFreemium
AI tool that converts code into interactive flowcharts, sequence and class diagrams with plain-English explanations.
12K visits/mo
Pricing
Team: $950/month + usage (1,000 concurrent actions, 30-day retention, 1 cluster)
No public pricing
Free trial available
Free: $0 (3 flowcharts/day)
Monthly: $9.99/mo (unlimited)
Lifetime: $66.99 one-time (unlimited)
Core features
- ✦Python-native dynamic workflow authoring
- ✦Automatic failure recovery, caching, and versioning
- ✦Zero Trust architecture keeping data inside customer's cloud
- ✦Real-time inference and agentic-AI workflow support
- ✦High-throughput scaling (tens of thousands of actions per run)
- ✦Local development environment matching production behavior
- ✦Publish structured documentation sites
- ✦Git sync for docs-as-code workflows
- ✦AI setup agent to build and import docs
- ✦GitBook MCP server for AI access
- ✦Enterprise controls
- ✦Free tier to start
- ✦Code-to-flowchart, sequence, class and user-journey diagrams
- ✦AI code explanations
- ✦Support for major languages
- ✦Export to PNG, SVG, PDF
- ✦Editable, customizable diagrams
- ✦Shareable links; code not stored
Use cases
- →ML teams orchestrating training and inference pipelines at scale
- →Biotech/geospatial companies needing GPU-heavy pipeline orchestration
- →Enterprises migrating off Airflow for ML workflow management
- →Teams requiring workflows that never send data outside their own cloud
- →Publish product and API documentation
- →Maintain docs-as-code with Git sync
- →Make docs consumable by AI assistants
- →Import existing docs into a hosted site
- →Understand and debug complex logic
- →Learn programming concepts visually
- →Create diagrams for documentation
- →Explain code in reviews
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