KX has accelerated data innovation in capital markets and beyond for over 30 years
Our technology underpins trading, analytics, and oversight systems at leading banks, hedge funds, and exchanges. It supports workloads where performance, precision, and reliability are foundational. Meeting these demands requires platforms purpose-built for live trading environments to support real-time decision-making, advanced analytics, and production-grade AI across the full trade lifecycle.
Optimized for real-time and AI workloads
Real-time data ingestion and historical analysis
KX supports real-time ingestion and historical analysis of market, order, and trade data, allowing firms to operate on live information while maintaining the historical context required for trading, risk, and compliance.
Advanced ML and multimodal AI
Built to support advanced ML and AI workflows in capital markets, KX enables firms to apply models across structured and unstructured data, supporting trading, risk, and surveillance use cases.
Enterprise efficiency
By leveraging modern processors and optimized architectures, KX delivers the performance and efficiency needed to scale data and AI workloads in high-volume, latency-sensitive trading environments.
Faster, more accurate decision-making at any scale
Seamless integration
KX is designed to integrate with the cloud platforms and data ecosystems used across capital markets. Integration with OneTick Market Data provides direct access to normalized market data, reducing data engineering effort and enabling consistent use across analytics, AI, and surveillance workflows. We also work with leading market data providers, including Intercontinental Exchange (ICE), Bloomberg, and London Stock Exchange Group (LSEG).
Developer friendly
KX supports Python, SQL, and q, allowing teams to work in the languages they already use. It integrates with tools across analytics, visualization, and AI workflows, including :
- Visual Studio
- Power BI
- Grafana
- LangChain
- LlamaIndex
- Huggingface
CPU/GPU optimized
KX operates across CPU and GPU environments, supporting both traditional analytics and AI workloads. Compute resources can be allocated based on workload requirements, improving utilization and controlling cost as data volumes and model complexity increase.
A flexible data analytics stack for all workloads
KX brings together KDB-X and OneTick as a closely integrated ecosystem of products that support firms of all sizes across the full trade lifecycle.
OneTick Market Data
A managed market data service delivering normalized tick and reference data across global markets. Provides a consistent data foundation for trading, analytics, AI, and surveillance workflows.
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OneTick Cloud
A managed cloud environment for running tick analytics, replay, and TCA without infrastructure overhead. Supports elastic scaling and rapid onboarding for new use cases.
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KDB-X
The core analytics engine for real-time and historical time-series and vector analytics. Supports trading, research, and AI workloads within a single programmable environment.
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KDB-X GPU Acceleration
An extension of KDB-X that offloads compute-intensive workloads to NVIDIA GPUs, accelerating core operations such as aggregations, joins, and backtesting. Enables teams to process large datasets and run complex analytics faster without changing existing workflows.
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Surveillance
A platform for real-time detection, investigation, and audit-ready oversight across asset classes and regions. Supports both cloud and on-prem deployment to meet regulatory and operational requirements.
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Benchmarking KDB-X vs QuestDB, ClickHouse, TimescaleDB and InfluxDB with TSBS
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.
Unparalleled performance for the most demanding data estates
15/17 world records
Optimized for data storage and compute efficiency, KX holds 15 out of 17 performance world records, delivering the fastest execution in 98% of independently benchmarked STAC-M3* queries. Read our high-frequency database benchmarking report.
* “STAC” and all STAC names are trademarks or registered trademarks of the Securities Technology Analysis Center, LLC.”
Billions of trades
Parallel processing and multithreaded loading help our solutions achieve an average throughput of 150MBs per second and over 11TB per day, enough to simultaneously power the NYSE, NASDAQ, and more than one million order books per second.
Real-time data analysis
KX excels in handling vast volumes of both structured and unstructured data. Our platform supports high-frequency data ingestion and complex event processing, making it ideal for real-time analytics, IoT, and streaming solutions.
