KDB-X Home
Welcome to the home of KDB-X technical documentation.
Information
KDB-X is now available in Public Preview with a new Community Edition. KDB-X is in preview mode for testing and is subject to change. This includes potential updates to component names and capabilities as we continue to evolve the product. As such, KDB-X is not yet intended for production use. We welcome your insights and encourage you to share your experience. Join our public channels to stay updated and contribute feedback as we continue to improve.
Visit the KX Developer Center to learn more.
What is KDB-X?
KDB-X is a modern, modular analytics platform under active development by KX for real-time, AI-driven workloads. Built as the next generation of kdb+, it unifies with existing applications while introducing a framework that encourages community-driven contributions to the evolving, open, and modern data ecosystem.
KDB-X eliminates the need to stitch together disconnected time-series, vector, and AI workloads from separate tools. Developers can build and ship data-intensive applications faster - with support for Python, SQL, and q - in one unified, scalable, and developer-friendly environment designed for both structured and unstructured data.
What's new!
Newly released KDB-X features
We’re continuously adding new features and improvements to KDB-X as part of the public preview:
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Module Management, a new way of organizing, managing and distributing code.
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Newly released modules include:
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Dashboards integration for enhanced data visualization.
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Added support for advanced AI libraries, enabling high-performance semantic search and time series similarity search (TSS).
Developer Center in public preview!
We are excited to announce the public preview of the new KX Developer Center - your all-in-one hub for building with KX.
Ready to dive in?
Get Started
Includes everything you need to begin your journey with KDB-X.
How To Guides
Discover our learning library to increase your knowledge of KDB-X.
Integrations
AI Libraries
Integrate with modern AI workflows and work natively with both structured and unstructured data. The ai-libs package offers advanced indexing and vector search for use cases like intelligent search, anomaly detection, recommendations and temporal similarity search.
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Learn about AI Libraries (AI Libs) and the searches available, including TSS, IVF and HNSW
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Try the AI library tutorials
Python
Experience the speed & efficiency of KDB-X in handling large datasets and using Python to manage these.
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Check out our Time Series Historical Analysis tutorial
What's next?
KDB-X evolution
Discover how KDB-X builds upon on the existing KX foundation and what's coming soon in our roadmap.
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Read the latest release notes
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KX will continue to roll out new modules designed to power and simplify your KDB-X development journey!