Welcome to OmniSci Documentation
Overview
- OmniSci Overview
- Release Notes
Installation and Configuration
Loading and Exporting Data
- Supported Data Sources
- Command Line
  - Loading Data with SQL
  - Exporting Data
SQL
- Data Definition (DDL)
- Data Manipulation (DML)
Immerse
Data Science
APIs and Interfaces
Tutorials
Troubleshooting

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Try Vega

PreviousMigrating Polygon Rendering for Custom Clients Upgrading to OmniSci 4.0 NextRJDBC

Last updated 4 years ago

You can try the OmniSci Vega engine and work with various examples. The database used for the examples includes over 100,000,000 rows. The data is based on the political donations dataset. Some columns have been stripped so that the data can fit on one NVIDIA Tesla P100 GPU.

Try It: OmniSci Vega Editor

The following examples are available:

Simple Pointmap

Pointmap With Scales

Grouped Pointmap

Hexagon Heatmap

Choropleth Visualizing 43000 Zipcodes

Multilayered Map (Point and Choropleth)