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 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 ...
TQL by Example (GridDB Query Language)
If you prefer learning via video: What is TQL? TQL is the query language used by GridDB; ...