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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.

Databricks logo
Databricks
✓ verified

Mosaic AI on Databricks, a leading enterprise data-and-AI platform.

8.9K saves

Thin 'Lingbot-map' agent listing on github.com with zero traffic; too thin to tell.

5.2K saves
OpnForm logo
OpnForm
✓ verifiedPaid

Open-source AI form builder for free forms and surveys; strong adoption and traffic.

30K visits/mo684 saves
Yay! Forms logo
Yay! Forms
✓ verifiedPaid

AI form builder for surveys and quizzes with automated insights; high traffic.

102K visits/mo956 saves
DataRobot logo
DataRobot
✓ verifiedPaid

Enterprise platform to build, run and govern AI agents and ML models across cloud, on-prem and hybrid environments.

2.6K saves
Pricing

No public pricing

No public pricing

Free: $0
Pro (Monthly): $16 per month
Pro (Yearly): $16 per month (billed yearly)
Starter: $9/month billed yearly or $19/month
Plus: $29/month billed yearly or $39/month
Professional: $59/month billed yearly or $79/month

No public pricing

Free trial available

Core features
  • Fast tensor operations
  • Differentiable tensors for gradient-based optimization
  • Network connectivity
  • Integration with Bun and Flashlight
  • Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
  • AI Form Builder
  • Unlimited forms, fields, and responses (Free plan)
  • Form logic, URL pre-fill, Hidden fields
  • File uploads, Custom code, Webhooks
  • Customizable themes and thank you pages
  • Form Analytics
  • AI-powered insights
  • Form creation in 30 seconds
  • Customizable branding
  • Logic branches
  • Integration with various tools
  • Drop-off rate tracking
  • Emotion and sentiment analysis
  • Keyword extraction and text classification
  • Agent workforce build/run/govern platform
  • Generative and predictive AI
  • AI governance and observability
  • Deploy on-prem, hybrid or cross-cloud
  • Prebuilt agents and blueprints
  • NVIDIA and SAP integrations
Use cases
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Creating contact forms
  • Conducting surveys
  • Collecting internal announcements
  • Managing warehouse inventory check-ins
  • Gathering training feedback
  • Processing international job applications
  • Streamlining legal petitions
  • Supporting environmental initiatives
  • Lead capture for marketing teams
  • User feedback collection for product teams
  • Customer retention for customer success teams
  • HR process organization for HR teams
  • Research data analysis for research teams
  • Branding customization for agencies
  • Build enterprise AI agents
  • Deploy and monitor ML models
  • Govern AI across the organization
  • Run AI in regulated/complex environments
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