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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.

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

5.2K saves
Databricks logo
Databricks
✓ verified

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

8.9K saves
Apify logo
Apify
✓ verifiedFreemium

Full-stack platform for web scraping, data extraction, and automation; category leader.

4.4M visits/mo2.0K saves
Relyance AI logo
Relyance AI
✓ verifiedPaid

Enterprise data-flow intelligence platform that maps how sensitive data and AI systems move across code, cloud, and models for compliance.

Pricing

No public pricing

No public pricing

No public pricing

Free: $0/mo ($5 included usage)
Starter: $29/mo ($26/mo billed annually)
Scale: $199/mo ($179/mo billed annually)
Business: $999/mo ($899/mo billed annually)

Free trial available

No public pricing

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)
  • Web scraping
  • Data extraction
  • Browser automation
  • AI agents
  • Anti-blocking
  • Proxy rotation
  • Open-source tools (Crawlee)
  • Ready-made tools and code templates
  • Real-time data flow and lineage tracing
  • AI inventory and shadow AI detection
  • Automated compliance mapping (privacy/security regulations)
  • Data exfiltration and breach blast-radius analysis
  • Automated RoPA, DPIA, and consent management
  • Identity-to-data chain mapping for humans, agents, and MCP servers
Use cases
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Data for generative AI
  • Lead generation
  • Market research
  • Sentiment analysis
  • Security teams tracking sensitive data exposure across AI systems
  • Privacy teams automating RoPA and impact assessments
  • Enterprises governing third-party AI risk
  • Compliance teams responding to data subject requests
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