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
Python Client
Introduction A while back we released our first python connector blog. Since then, things ha ...
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NodeJS Client
Introduction Some time last year we released our original Node.js blog. If you go back and rea ...
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Practical Introduction to Time Series Databases and Time Series Data
Back in 2019, we posted a blog about the more academic natures of Time Series data. In this new ...
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GridDB 4.2 Community Edition Released
GridDB 4.2 Community Edition (CE) was released May 23, 2019 with several new features. C Client ...
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