Features of GridDB
Optimized for IoT
A unique key-container model
designed specifically to handle both metadata
and time series data.
Utilizing an in-memory data
architecture — along with superb
parallel processing and minimal
overhead — grants benchmark-
Scale out horizontally with
commodity hardware while
maintaining the same
excellent in-memory performance
Non-stop operations even
when tasked with adding
new nodes or when facing
inevitable node failures
Using Python to interface with GridDB via JDBC with JayDeBeApi
Introduction In this blog, we will showcase GridDB’s Java Database Connectivity (JDBC) ...
IIoT Project using GridDB on Raspberry Pi, Node-Red, and an Arduino PLC.
In this demonstration, we show how you to build a low cost Industrial Internet of Things (IIoT) ...
Connecting to GridDB via JDBC with SQLWorkbench/J
As of version 4.5, GridDB now supports SQL via JDBC, allowing you to integrate your favorite ap ...
GridDB on ARM, Time Series Database for your Raspberry Pi!
In this blog post, we’ll demonstrate how to build GridDB for 64-bit ARM and run it on a ...