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
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 ...
TQL by Example (GridDB Query Language)
If you prefer learning via video: What is TQL? TQL is the query language used by GridDB; ...
Improve your DevOps with GridDB Server and Client Docker Containers
DevOps has changed how many developers and system administrators develop, publish, and operate ...