Feature
Time-series with FFT
RaimaDB has the capability of generating a C/C++ interface based off of a time series database definition along with creating a matching full set of Fast Fourier Transformation (FFT) API calls. The FFT calls support scaling, absolute value and real computations along with being designed in a modular manner such that a developer can easily swap the Raima FFT library out with any other custom or third-party library to suit their needs. The generated time series code also supports automatic arithmetic, geometric, and harmonic mean calculations along with down sampling and data splitting.
Aerospace
Automotive
Industrial
Healthcare
Energy
Aerospace
Aerospace and defense
Live data capture
Post flight analysis
Capture lots of data Reliably store data Process data in real-time Replicate data to the cloud Securely communicate data Low compute High data volumes Backlogged data not lost
Automotive
Automotive industry
Condition monitoring
Capture map data Reliably store data Process data in real-time Use irregular information Store alerted information Merge sensor and map data Triggers / Actionable
Industrial
Industrial automation
Condition monitoring
Live data capture
Capture sensor data Reliably store data Process data in real-time Talk to other devices Light footprint Low compute Triggers / Actionable Backlogged data not lost
Healthcare
Healthcare
Inventory management
Capture lots of data Reliably store data Retrieve & process data Use irregular information Store alerted information Replicate to storage Triggers / Actionable
Energy
Energy & natural resources
Condition monitoring
Live data capture
Capture sensor data Reliably store data Process data in real-time Use irregular information Store alerted information Low compute Light footprint Triggers / Actionable Get started with RaimaDB today
Try RaimaDB for free today and see how screaming fast data management can get you to market on schedule and under budget.
