by James Corcoran The rapid – and ongoing – digital transformation of virtually every industry sector on the planet has super-charged the growth of data […]
by Sarah Gibson The Wichita Lineman used to worry about snow damaging his network. Since then, it has become a lot more complicated to protect […]
By Noel Byrne Kdb+ was the selected database component for recent STAC-M3 -benchmark tests on Dell hardware. In the tests, kdb+ 4.0 was distributed across […]
KX has announced the general availability of KDB.AI Server, a highly-performant, scalable, vector database for time-orientated generative AI and contextual search.
Products
kdb+
kdb Insights
KDB.AI
Delta
Sensors
Market Partners
Cloud Service
Data Lake
Market Data
Services & Support
About Us
Partner with Us
KX Partner Network
Find a Partner
Partner Signup
Join Us
Connect with Us
Optimizing trading, risk analytics, and decision making in the era of AI.
The nature of data is changing, with the volume, velocity, variety, and complexity of data exploding. Consequently, decision-makers in finance are encountering critical challenges:
From volume to storage, the need to store and access historical or real-time data is compounding.
Teams cannot leverage real-time data with the necessary speed and precision to drive success.
Failing to leverage historical and unstructured data and inability to backtest with sufficient rigor.
Rising costs often force excessive spending on hardware. KX helps optimize infrastructure for maximum performance and data accuracy without unnecessary costs.
We partner with the world’s leading investment banks and hedge funds to tackle complex data challenges that enable faster and better-informed decision making.
Powered by the world’s fastest data analytics platform*
Single destination for all data types you depend on
Proven in the most demanding environments at the world’s largest financial institutions
* Independently benchmarked by STAC Research
PRE-TRADE ANALYTICS
Outdated trade lifecycle analytics can undermine performance and strategic initiatives. The KX AI and analytics platform enables the creation of a digital twin of capital markets, providing real-time insights into post-trade analytics performance.
POST-TRADE ANALYTICS
Processing complex market data can be daunting. Our technology delivers analytics on extensive volumes of historical data, providing valuable insights for future order execution.
QUANTITATIVE RESEARCH
Quants often struggle to test research models accurately at the required speeds. Our platform overcomes these limitations by enabling more timely and precise decision making.
BACKTESTING
Speed and accuracy are crucial when backtesting trading strategies using historical and real-time data. Our vector-native products allow for the development of more accurate trading strategies, allowing for rapid simulations of trading hypotheses at scale.
REAL-TIME VISIBILITY
Financial services organizations face significant obstacles in their real-time decision-making processes. Our platform processes data sets within milliseconds, enabling trading desks to monitor real-time conditions, seize market opportunities, and negate threats.
STAC, the industry standard for testing financial time series data, consistently recognizes KX for its world-class query execution times in their benchmark reports.
STAC represents an independent, audited set of data analytics benchmarks and offers a valuable service to FSI businesses by means of “cutting through” proprietary marketing benchmarks from technology vendors.
How bringing together data management and analytics at speed helps quantitative analysts find insights faster.
Wall Street data is different from Main Street data. The capital markets generate data that can change hundreds of thousands of times a second. Traders […]
Discover the future of data management in Wall Street with our new eBook and dive into the evolution of streaming analytics, time-series data management, and generative AI.
AMERICAS
Tel: +1 (212) 447 6700
EMEA
Tel: +44 (0)28 3025 2242
APAC
Tel: +65 65921960
ANZ
Tel: +61 (0)2 9236 5700
