We will be in contact shortly.
Platform
KX Streaming Analytics
Time Series Database
Continuous Intelligence
How it works
Features
Overview
Dashboards
Analyst
Machine Learning
Cloud to Edge
Monitoring
High Availability
Security
Services & Support
Financial Services Use Cases
Analytics
Compliance
Fraud Management
Risk Management
Trading
Industry & IoT Use Cases
Automotive
Energy & Utilities
Manufacturing
Telco
Services & Support
Platform Partnerships
Overview
Cloud Partners
Technology Partners
Service Partners
Become a Partner
Featured
Popular Resources
Blog
Developer Blog
Customer Success Stories
Webinars & Videos
Documents
With 3rd party integration and SDK for custom visualization, hardware-accelerated rendering for faster display time and an extensive range of native display options, KX Dashboards enable solutions for surveillance, financial charting, sensor monitoring and more.
Learn More
Incorporate flexible spreadsheets to perform simple or complex analytical computations in real time, with full scripting support. Data analysts and scientists can effortlessly load, transform, query, and visualize massive datasets in near real-time in a development environment that offers tools for creating, editing, debugging, testing, and versioning kdb+ Big Data applications.
The AutoML framework provides a complete machine learning workflow, including pre-processing, feature engineering, model selection/optimization and report generation. Follow this link to see how it can be used to solve regression problems using the FRESH algorithm.
As no code changes are required to avail of the finer-grained parallel processing it provides, organizations can immediately harness the power of multi-processor machines without requiring development effort.
In this release KX extends its support for Intel’s Optane DC persistent memory using App Direct Memory mode, giving you greater control over the DRAM/Optane allocation of data. KX ultra high-speed performance – the fastest just got faster.
Running the same software to solve complex business problems, whether on-premises, in the cloud, at the edge, or in any hybrid configuration of the three, makes it quicker to deploy, easier to maintain and cheaper to operate. It supports multiple cloud architectures including serverless deployments that enable developers and organizations to focus on delivering business results rather than worrying about hardware and infrastructure requirements.
It provides a set of customizable dashboards that display high-level information on the current status of primary indicators as well as real-time alerts and notifications of issues. Historical data is retained for follow-up investigations and root cause analysis.
That’s why we support high-availability cluster configurations with node-level quorum capabilities that provide resilience in the face of network failures.
Advanced monitoring of processes, applications and nodes along with a range of hot/warm/cold configurations and data replication options cater for different cost/risk profiles. Fault tolerance is not fault elimination, however, so to cater for the most demanding, mission-critical environments we have extended capabilities around continuous data ingestion, storage and advanced query routing to ensure no downtime, no data loss or compromise in data integrity in the case of disruption.
Data-At-Rest-Encryption (DARE) enables you to select just the files that need encrypting – a more efficient alternative to FDE (Full Disk Encryption) giving you the confidence to maintain best-practice security and protect against the risks associated with cyberattacks and increased use of remote working, cloud access and mobile devices.
We use cookies to personalise content and ads, to provide social media features and to analyse our traffic. We also share information about your use of our site with our social media, advertising and analytics partners.