End analytics complexity with a unified platform where time-series, vector, and AI converge—and data, models, and logic move as one.
Built on the industry-leading kdb+, KDB‑X delivers high-performance analytics for time‑series and vector data in a single, developer‑first platform. Convert raw data from open formats like Parquet into real-time action without the complexity of fragmented stacks and leverage new features like MCP server to give everyone the ability to query kdb+ data across your organization.
Ship faster with one unified runtime for streaming, historical, and vector workloads. With native Python and SQL, give access to more developers so your q specialists can focus on the most intense projects.
Integrate high velocity kdb data alongside cold datasets with native Parquet, object storage, and lakehouse compatibility, reuse components across workflows, and avoid vendor lock-in — without the ETL bottleneck.
The world’s largest banks run their most critical workloads on kbd for over 30 years. Now, with GPU acceleration, compress overnight jobs into minutes and transform static research workflows into real-time decision engines.
Turn your existing data estate into an AI-ready platform with Dual Mode, MCP-powered natural language access, and NVIDIA-validated blueprints, so your agents and analysts can query the same trusted data without q expertise.
Single System Dual Modal Database
Eliminate silos, unify time-series and vector data for low-latent, high-performing real-time analytics and AI solutions.
Open Data Format, Cross-Asset Reach
Natively query Parquet, ensuring massive columnar data flows across silos and asset classes with ease.
Answers from all your data
Blend structured, unstructured, and streaming so AI and humans get instant, full-context answers.
Powered by kdb+
Built on the columnar, cache-efficient kdb+, which has delivered low-latent time-series analytics in the most demanding environments for over 30 years.
Native
Parquet
Work with Parquet as a first-class format in KDB-X, with support for direct querying, partitioning, and object store access.
AI
Libraries
Perform fuzzy, hybrid, and advanced time-series search using built-in algorithms for flexible, high-accuracy data matching.
Module
Management
Language-level integration for modules with enhanced namespacing, dependencies, and packaging to simplify development and encourage reuse.
Expanded
Libraries
Carefully curated community and KX modules for integrations with security protocols, monitoring tools, and third-party interoperability.
GPU
Acceleration
Speed up compute-heavy operations such as as-of joins, matrix multiplication, and vector similarity search. Learn about KDB-X GPU Acceleration.
Process & Data
Management
Manage q processes, setup multi-root DBs, and utilize inter-process communication with new system-level enhancements.
Agentic
& MCP
Utilize an MCP Server to enable agents and language models to interact with KDB-X via structured prompts, query execution, and schema access.
Developer
Tooling
Debug, profile, and validate q code with integrated tools designed to speed up iteration and improve code quality.
See our documentation site for continuous roadmap updates.
Tap into the speed and efficiency of kdb technology and build high-performing production-ready applications for free with KDB-X.
Designed to enhance developer productivity with tools and multi-language support, the modular architecture and open ecosystem integrate kdb data with modern datasets.
The unified platform is built on the trusted performance of kdb and provides the critical infrastructure to build next-gen AI solutions with dual-mode analytics, MCP, built-in AI-Libraries, and GPU acceleration
Get Started With KDB-X Community Edition |
|
| Python API | Yes |
| AI Library | Yes |
| Highly Efficient Time Series Database | Yes |
| RAM | 16 GiB |
| TLS | Supported |
| Number of Connections | 8 |
| Computer License Restriction | Limited – Community Only |
| Environments Supported | On-Prem, Cloud |
| License Usages Availability | Personal or Commercial Usage |
| Try KDB-X For Free Today | |
Powered by kdb+, designed for the modern AI era, and trusted by Capital Market leaders, start building high-performing, commercially unrestricted apps today.
In the latest benchmarks, KDB-X outperformed competitors using 1.5% of available CPU threads and 8% of system memory.
Firms can scale from intraday tick data to multi-year historical analysis without compromise, giving quant desks, execution teams, and risk functions faster time-to-insight without scaling their infrastructure bill.
34x
faster for average
query speed
1,100x
faster for peak
query speed
91%
of benchmark
scenarios won
100x
Speed up for backtesting of 392M bars across 66 instruments from 2 weeks to 2 mins
5-8x
Faster EOD processing with a reduction from 6 hr to less than 1 hr (including temporal joins & aggregations)
15-20x
Speed up portfolio VaR intraday risk monitoring under 20 mins
40-60%
TCO reduction per workload cluster at higher throughput
KDB-X GPU Acceleration offloads the most compute-intensive capital markets workloads — large sorts, joins, aggregations, and simulations — directly to NVIDIA GPUs, delivering 10×–20× performance improvements without changing how your team works.
Jobs that once ran overnight complete in minutes, making intraday VaR refreshes, deeper backtests, and faster end-of-day closes a practical reality — not a hardware upgrade project.
End-to-end TCA on Parquet
Paste your license key into a one-line install script for macOS, Linux, or Windows via WSL, and you’re up with the q REPL immediately—no extra tooling required. Optional Python support is a single pip install, and there are offline installers if you can’t reach the internet.
curl -sLO https://portal.dl.kx.com/assets/raw/kdb-x/install_kdb/~latest~/install_kdb.sh && bash install_kdb.sh --b64lic <Your Key>
We recently ran a series of benchmarking tests to evaluate how KDB-X performs compared to several open-source databases on standard analytical workloads, including aggregation, filtering, and group-by queries.
Gain a deeper understanding of market drivers and unlock new business insights by combining structured and unstructured data in KDB-X
Discover how KDB-X uses GPU acceleration to run as-of joins and sorting up to 10× faster with NVIDIA CUDA and cuDF—cutting end-of-day runtimes dramatically.
Detect crypto price patterns using KDB-X Temporal Similarity Search (TSS) and uncover market trends in real time.
*Based on time-series queries running in real-world use cases on customer environments.
「*」は必須フィールドを示します