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
Machine Learning with PHP & GridDB
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GridDB Schema Modification
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CroMFlaG2 : An Open IoT Stack
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Geospatial Analysis of NYC Crime Data with GridDB
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