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Want to run production-ready time series analytics and vector-processing workloads without changing code or leaving the Snowflake environment? Our partnership with Snowflake lets you perform fast, scalable, temporal, and vector data analytics for time series and AI workloads on the Snowflake Data Cloud.

To train complex models and optimize trades, you need a rich source of streaming data. By integrating data from ICE’s Consolidated Feed into the KX platform, you can run real-time analytics to derive valuable insights to enhance your decision-making process.

Move faster than your competitors by setting a new standard in quantitative research, data modeling and trading analysis. Our collaboration with Databricks combines our expertise in handling time-series data with their comprehensive compute and machine learning frameworks.

To make timely, business critical decisions you need fast, highly available analytics that can scale with demand. We have partnered with Azure to deliver rapid, reliable time-series analytics with the agility and scalability of the Azure ecosystem.

Maintain your competitive edge with our highly available, scalable, time-series analytics on AWS. Build a performant data analytics solution for today’s cloud and hybrid ecosystems, while making the most of the agility, security, and scalable storage provided by AWS.

Google Cloud Global Technology Partner of the Year for Financial Services, KX brings the increased efficiencies and scalability of the kdb+ database system to the Google Cloud Platform. Available through Google Cloud Launcher so customers can focus on business success, not procurement.