Able to process 4 million data points per second, enabling fast decision-making based on the highest data volumes.
Hardened for the most rugged environments with fully online upgrades mean zero-downtime to suit high availability needs.
Ensures compatibility with kdb VSCode extension as well as custom processes, tables, APIs, and business logic.
Supports any sensor, frequency, tags, and attributes with nanosecond precision, while minimizing infrastructure cost.
Support validation, estimating, and editing of real-time and historical data to combat data quality challenges.
Layered application architecture provides high customizability and flexibility, suitable for OEM use.
Identify abnormalities or issues that occur during the manufacturing process. This enables you to react quickly to eliminate waste or reduce downtime.
Use real-time and historical data to predict when an asset is expected to fail. Optimize equipment performance and lifespan. Proactively plan for downtime or outages.
Przemek Tomczak discusses the challenges posed by exploding sensor data volumes and the importance of VEE processes in data analytics systems.
Discover how manufacturers are utilizing real-time data analytics to find efficiencies that improve business expectations and enhance their customers’ experience.
AMERICAS
Tel: +1 (212) 447 6700
EMEA
Tel: +44 (0)28 3025 2242
APAC
Tel: +65 65921960
ANZ
Tel: +61 (0)2 9236 5700
