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
Machine Learning with PHP & GridDB
The output of any given model in machine learning is only ever as good as its input data. As su ...
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GridDB Schema Modification
We all try to plan for the future when designing our data schema, but inevitably a new feature ...
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CroMFlaG2 : An Open IoT Stack
In this blog, we will showcase the hows and whys of a simple, flexible open source IoT stack: C ...
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Geospatial Analysis of NYC Crime Data with GridDB
GridDB Community Edition 4.1 and newer feature a Geometry data type that allows developers to c ...
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