Activeloop
AI-native data platform for building and managing ML datasets at scale
What it does well
- Native support for unstructured multi-modal data with efficient streaming
- Version control and reproducibility built-in for ML workflows
- Strong integration with popular ML frameworks (PyTorch, TensorFlow, Hugging Face)
- Collaborative features for distributed data teams and annotation workflows
Where it falls short
- Steeper learning curve compared to traditional data platforms
- Pricing structure can be complex for enterprise-scale deployments
- Smaller ecosystem and community compared to established competitors
Core Features
| Vector Database | Yes |
| Deep Lake Storage | Yes |
| Unstructured Data Management | Yes |
| Multi-Modal Data Support | Yes |
| Data Versioning | Yes |
AI Capabilities
| LLM Integration | 20+ |
| RAG (Retrieval-Augmented Generation) | Yes |
Integrations
| Python SDK | Yes |
| REST API | Yes |
Security
| Enterprise Security | Yes |
| Role-Based Access Control | Yes |
Collaboration
| Team Collaboration | Yes |
Free
Free
- Up to 100GB storage
- Community support
- Basic vector database features
- Single user
Pro
$99/mo
$990/yr billed annually
- Everything in Free
- Up to 1TB storage
- Priority support
- Team collaboration
- Advanced analytics
- Custom integrations
Enterprise
Custom
- Everything in Pro
- Unlimited storage
- Dedicated support
- SLA guarantees
- Custom infrastructure
- On-premise deployment options
- Advanced security features
Comparisons with Activeloop
ToolAudit may earn a commission when you visit a tool through our links. This never affects our scores or rankings. How we make money