KAWASAKI―Toshiba Digital Solutions Corporation (Toshiba) today announced the general availability of GridDB 5.3 Enterprise Edition (GridDB 5.3 EE), a purpose-built database for IoT and Big Data workloads. The latest version features improvements in IoT and time series data analysis functionalities.
Recently, time series data analysis has gained prominence as IoT use cases diversify and expand to different industries. Built-in time series data functions that accommodate different characteristics of IoT data such as data interpolation to fill in missing values due to sensor failure or communication error, grouping time series data into specific time intervals and applying data aggregation for analysis, as well as the ability to collect time series data at higher granularity for a more comprehensive and accurate data analysis are in great demand.
In response to these needs, GridDB 5.3 EE is now equipped with improved time series data aggregation function, automatic data interpolation to fill in missing data, and the ability to collect time series data with nanosecond precision (one billionth of a second) to facilitate and simplify IoT data analysis.
Major improvement in GridDB 5.3 EE
1. Time Series Data Aggregation
Time series data can now be grouped into time intervals and combined with aggregation functions to extract the maximum, minimum, average, and total values of these intervals. This function has been incorporated directly into GridDB to facilitate and speed up time series data analysis as it eliminates the need to extract and aggregate data on the application side.