Ideally suited for addressing the performance and scalability challenges of high-volume data ingestion, processing, retrieval, analytics, and machine learning our platform can validate and estimate sensor and smart meter data at millions of readings per second. Kx can also aggregate billions of measurement records in seconds and store and analyze trillions of records and diverse data sources. Customers have benefited from:

• 10x to 500x improved performance
• 90% less infrastructure
• lower total operating costs with improved scalability
• reduced time to market through our proven big data technology and expertise

Many companies today are using less than 10% of the sensor data they collect and are not able to keep up with the Validation, Estimation and Editing (VEE) processes needed to support big data analytics systems because of the high volume and velocity of data. To combat VEE system overload, Kx has an integrated VEE and analytics solution for ingesting, validating, estimating and analyzing massive amounts of streaming, real-time and historical data from sensors, devices, and other data sources.

Our platform also enables bitemporal modelling of sensor data and attributes with nanosecond precision enabling you to easily and quickly navigate through time enabling continuous analytics, avoiding the need to pause and ensuring forensic auditability and traceability of updates to data.

Kx is particularly useful for utilities looking to better manage DER – such as solar panels, electricity storage, electric vehicles and other controllable loads – given the intermittency and variability of the outputs. Integrated, continuous data analytics can also be used to vastly improve situational awareness for other types of energy asset management – linking SCADA, micro-phasor and behind-the-meter data, to more accurately predict the state of the power system and take action.

Due to its small footprint Kx can provide big data and analytics close to where data is collected enabling utilities and solution providers to detect and predict conditions more quickly than ever before, improving availability, optimizing maintenance and longevity of their assets.

Kx technology enables integration with legacy systems and multiple data sources to either augment or replace existing historians and allowing you to extend and customize your data analytics applications to support your unique requirements. Use a connector framework to integrate with IT/OT systems, including:

• SCADA, AMI, MDM, OMS, MDM, EMS, and ADMS
• APIs for .NET, Java, C, C++, Python, R, ODBC, Matlab, and Excel
• APIs for synchronizing master and reference data with other systems, including assets, locations, sensors, and sensor measurements, with built in-audit trails