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
Containerizing your Own Node.js Application
Node.js Docker Container Image We recently put out a docker blog which helped guide users to u ...
Using Fluentd to Push Data to GridDB
Fluentd is an open source data collector that allows you to easily ingest data into GridDB; thi ...
Data Modeling with GridDB
Here’s a video version of some of the content found in this blog. GridDB has a unique ...
If you prefer videos: Introduction Sometime last year, we released our initial blog post ...