OmniSci Version 4.0: Expanding Frontiers for Analyzing Geo Data & Geometric Data Types
OmniSci 4.0 brings extreme analytics capabilities to geospatial analysis and takes a leap forward in bridging the divide between mainstream GIS and BI tools. 4.0 delivers native support for storing geo data types and backend rendering of polygons, giving analysts incredible computational and visual rendering horsepower. Now geospatial analysts can interactively explore millions of shapes on geo charts and run geospatial queries over billions of rows, with millisecond response times. Equally, business analysts can now make large-scale geospatial analysis a part of everyday analytics.
Geographic Data and Geometric Data Types for Big, Fast Geo Calculations
Geo Data Types Stored Natively in the Database
The OmniSci Core analytics database now supports native geospatial data types: POINT, LINESTRING, POLYGON, and MULTIPOLYGON. This makes geospatial data available to query billions of geospatial records with millisecond results.
Geospatial Queries and Backend Rendering
With native geo type support, analysts can query geospatial data at scale with a growing number of geospatial functions and then visualize results in OmniSci Immerse, as they interact with millions of points, lines or polygons in multilayer geo charts.
DISTANCE and CONTAINS Functions at Massive Scale
Geospatial analysts can use the full power of GPU parallel processing to quickly calculate distances between billions of objects. They can also search for billions of shapes inside other shapes, such as point locations inside building footprints.
Backend Polygon Rendering: Extending Visualization from Thousands to Millions of Shapes
Server-side Polygon Rendering
Native POLYGON and MULTIPOLYGON shapes can be rendered on the backend as OmniSci Render has treated geo-points in the past, through an interactive PNG file. Now, geospatial analysts can visually interact with millions of shapes on a map, in real time.
Micro Cross-filtering on Millions of Geo Shapes
OmniSci users can select location shapes down to a local level, like census tracts or building footprints, and cross filter those. For example, chart the heights of all buildings on a city block, or select bodies of water and graph their seasonal water temperatures.
High-speed Ingest of Geo Data
Polygon ingest into OmniSci Core is extremely fast, ingesting millions of polygons per second, with multi-threaded import. OmniSci can ingest any type of polygon, even those with collapsed vertices or holes.
