Mar 6, 2020

OmniSci Immerse provides self-refreshing dashboard functionality, but sometimes you need the ultimate flexibility of a custom app. Here’s how to use Python, Dash by Plotly and OmniSciDB to create a real-time dashboard.

Feb 12, 2020

Exploring the opioid epidemic with GPU accelerated analytics and visualization.

Jan 23, 2020

To genuinely understand reservoir behavior, the oil and gas industry needs tools that can track and analyze data over long periods of time and for many unique variables. This post shows examples of tracking reservoir behavior across time. Traditional BI and GIS tools are too restrictive but with OmniSci's GPU and CPU innovations, accelerated analytics on billions of rows of data becomes possible.

Jan 16, 2020

5G promises tremendous revenue growth for the telecommunications industry, provided the industry can overcome the data challenges of optimizing capital planning around network architecture needs. There’s only one platform capable of visualizing billions of telecommunication records at once to improve coverage and reduce interference for 5G.

Jan 15, 2020

Using Random Forest and LSTM, Abraham Duplaa demonstrates how OmniSciDB and OmniSci Immerse complements the PyData ecosystem of data science tools.

Jan 10, 2020

As we ramp up for 2020, we are excited to announce our involvement at these upcoming events.

Dec 31, 2019

It’s been a huge year for OmniSci — 12 months of unprecedented growth, accomplishments and developments in accelerated analytics and data science. Check out some highlights of an incredibly eventful year.

Dec 23, 2019

What is the greatest innovation that has affected your geospatial workflow in the last decade? For this end of year post, I look back over the past decade or so and share thoughts on a couple of historic milestones that I see. Then I share why I believe OmniSci has tapped into the next great innovation: geospatial analytics at scale.

Dec 17, 2019

In this sequel post to analyzing San Francisco traffic, we include incident data as well as weather data. OmniSci is used to uncover meaningful insights, such as finding accident patterns and identifying the most dangerous intersections in the Bay Area.

Dec 13, 2019

As companies perform more real-time analytics, the Extract-Transform-Load (ETL) data processing model becomes too slow to support the business. Here’s how to run an Extract-Load-Transform (ELT) pipeline with OmniSciDB.