KDB.AI
The Vector Database for Time-Series AI.
Overview
KDB.AI is a vector database from the creators of kdb+, designed to handle both time-series and vector data. It enables developers to build AI applications that leverage temporal context for more accurate and relevant search and analysis. KDB.AI is well-suited for financial services, IoT, and other time-sensitive domains.
✨ Key Features
- Hybrid time-series and vector database
- Real-time data ingestion
- Temporal-aware vector search
- Metadata filtering
- High performance
🎯 Key Differentiators
- Native integration of time-series and vector data
- Leverages the high-performance kdb+ engine
- Focus on financial services and other time-critical industries
Unique Value: KDB.AI uniquely combines the power of a time-series database with a vector database, enabling the development of sophisticated AI applications that understand and leverage the temporal context of data.
🎯 Use Cases (5)
✅ Best For
- Building contextual AI applications for financial services
- Analyzing and searching large volumes of time-series data from IoT devices
💡 Check With Vendor
Verify these considerations match your specific requirements:
- General-purpose document storage
- Applications without a time-series component
🏆 Alternatives
Unlike general-purpose vector databases, KDB.AI is specifically designed for time-series data, providing a significant advantage for applications in finance, IoT, and other domains where time is a critical factor.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Phone Support
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
✓ 30-day free trial
Free tier: Free trial available.
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