Spatial Data Engineering
Radian is a new spatial engineering experience that blends spatial and non-spatial data to enable
data discovery, analysis and management by experts and non-experts alike. Everything involves location and anything
involving location is only as good as the quality of the spatial data you utilize. Radian provides the world's finest
tool for insuring that your spatial data unleashes your insights with superior quality, speed and bulletproof accuracy.
Radian itself is one of the fastest, fully-parallel database engines ever created. Guaranteed to keep up with even
the fastest enterprise DBMS you use to work with data in-place.
But you don't need an external DBMS: you can easily host large,
complex projects and applications entirely within Radian on your desktop. Radian effortlessly cascades
and nests hierarchies of projects with zero pass-through performance hit, so a single Radian project can encompass
terabytes of data while reaching out to exabytes of data in external servers. On your desktop. Today.
"First of all - Radian Studio! Wow! It is really as fast as advertised." - Forum post.
Radian is so much faster than any traditional spatial file formats that you'll probably want to
upgrade your inventory of spatial files to use Radian as your data store. Once transferred into Radian storage a 100 GB image pops
open instantly. Large vector data sets that absolutely crush traditional GIS applications pop open in seconds as well.
Apply the effortless, easy power of Radian point-and-click dialogs or the infinite power of
automatically parallel Radian SQL. Radian unleashes the full power of
all the CPU cores in your system and
automatically launches massively parallel computations using thousands
of available GPU cores for supercomputer
computational performance unmatched by any other GIS or
spatial engineering tool. This isn't marketing hype: calculations
that take minutes without Radian can often be done in a second or two in Radian. Don't settle for fake parallelism that is just distributed data storage. Insist on the real thing, parallel computation.
Radian is the real deal: Nothing else comes close.
Above: LiDAR terrain elevation data for Charles County, Maryland, from an ArcGIS REST server. Palette and hill shading done on-the-fly by Radian.
Radian's modern technology delivers the most sophisticated
spatial analytics in GIS or DBMS. Legacy packages have legacy limitations, such as separate layers or data sets
for polygons, lines and points or tedious preparation to assure no overlaps for spatial overlays. Radian provides
a rich selection of spatial engineering tools, both point-and-click templates as well as massively complete SQL
functions, that automatically handle any topology, no matter how strange, and simultaneously work with mixed
polygons, lines and points with automatic blending of mixed database values and mixed projections as well.
No other spatial data tool at any price can handle such difficult topological situations automatically.
Install one package and you have it all at your fingertips. No need to
buy expensive extras or to
struggle to integrate separate products. You know how some software wants to charge you a few thousand more
for the feature you need? Radian doesn't do that. Radian includes everything, right out
of the box. All the extras are already built-in. Launch Radian and you can do it all right away.
Radian was built from the ground up by a single, professional team as a totally
seamless and superlatively complete package that saves you time and money.
No need to figure out a jigsaw puzzle of quirky packages and no need to spend days playing software developer. Total Radian integration and
legendary Manifold quality set you free to focus on your business.
"When I said "Radian is much faster than PostgresSQL with uncomplicated SQL." I was thinking about the time I spend trying to get PostgresSQL server working rather than how fast queries work. [...]
For dweebs like me having to run a database server on your home computer is daunting so a program [like Radian] that has its own database functionality internal and local is much faster in terms of real effort time." - Forum post
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