Features of GridDB
Optimized for IoT
A unique key-container model
designed specifically to handle both metadata
and time series data.
High Performance
Utilizing an in-memory data
architecture — along with superb
parallel processing and minimal
overhead — grants benchmark-
shattering performance
High Scalability
Scale out horizontally with
commodity hardware while
maintaining the same
excellent in-memory performance
High Reliability
Non-stop operations even
when tasked with adding
new nodes or when facing
inevitable node failures
GridDB performance
Blog
Monitoring Temperature Sensor Data with an Arduino based PLC, MQTT, Node-RED, GridDB and Grafana.
#toc p { line-height: 0; } In this demonstration, we show how you to build a low cost Indust ...
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Using Python to interface with GridDB via JDBC with JayDeBeApi
Introduction In this blog, we will showcase GridDB’s Java Database Connectivity (JDBC) ...
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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) ...
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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 ...
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