Kaskada (acquired by DataStax)
The real-time AI platform.
Overview
Kaskada is a real-time AI platform that is designed to help organizations build and deploy machine learning models that operate on event-based data. It includes a feature engine that can compute features in real time, as well as tools for model training, serving, and monitoring. Kaskada was acquired by DataStax and is now part of their real-time AI offerings.
✨ Key Features
- Real-time feature engine
- Event-based data processing
- Time-based feature engineering
- Integration with DataStax Astra DB
- Open-source core
🎯 Key Differentiators
- Focus on event-based, real-time ML
- Time-based feature engineering
- Integration with DataStax Astra DB
Unique Value: Enables organizations to build and deploy real-time AI applications on event-based data, with a powerful engine for time-based feature engineering.
🎯 Use Cases (3)
✅ Best For
- Clickstream analysis
- IoT sensor data processing
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Batch-only ML workflows
🏆 Alternatives
Provides a more specialized and powerful solution for real-time, event-based ML compared to general-purpose feature stores. Its integration with DataStax Astra DB offers a scalable and managed backend.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Phone Support
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
Free tier: Free tier on DataStax Astra DB
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