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
Electric Vehicles in Washington – An Analysis Using GridDB
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Ingest and Query a Gene Expression Dataset in R with GridDB
Introduction In this document, we’ll first go over some notes about setting up GridDB and ...
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Clustering and Classifying Wine Using Machine Learning, R, and GridDB
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Analyzing the Best Books Ever Written using GridDB
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