Big Data storage platforms have slow query speeds and limited visualization options. Use Sqoop to pull data from Hadoop into OmniSci for millisecond queries and big data research visualization. It's still Big. Now it's Fast.
Important realizations come from answers to thousands of small questions that arise during the research. With OmniSci, iterative exploration moves quickly, so you can find answers to big data research questions you weren’t seeking.
Analytic platforms favored by statisticians or Python engineers can keep insights separated from front-line data workers. OmniSci's intuitive dashboards make big data research and analytics easy for anyone with a web browser.
"The volume of data we need to visualize and explore eclipses the capabilities of traditional geospatial analytics applications. At the same time, we want to avoid the complexity of implementing our own GPU instances, and are looking to open up analytics to as many of our research teams as possible. With OmniSci Cloud, our researchers can test their hypotheses quickly and easily using the extremely fast query and visualization capabilities of OmniSci."
Ben Lewis, Geospatial Technology Manager, Harvard Center for Geographic Analysis
Those who plan public infrastructure or environmental policy study how weather affects a place over time. The US Military needs to understand how hills, roads, and rivers will impact troop movements. Legacy BI and GIS solutions may draw maps for those scenarios, but they were designed before geolocation data was Big. They can’t cross-filter geo charts with time-series data at scale.
The OmniSci platform is a new type of “time machine” for researchers and planners who need to display data on a map, with the ability to quickly filter by different time periods. With OmniSci, researchers can quickly see how decades of floods, wildfires, or wars have moved across the land and affected a place of interest.
Smart meters have given public utilities at least 1,000 times more data on how electricity is generated, distributed and consumed. Yet the volume and speed of that new smart meter data swamps their legacy analytics platforms. Slow, incomplete insight stymies industry innovations like time-of-use pricing and net metering.
Households use different amounts of electricity every hour, and demand fluctuates. Changes to weather, demographics, pricing schedules and many more factors drive the difference between electricity production and consumption. OmniSci helps utilities research past consumption and make operational decision to balance the grid.
A human genome is equivalent to about 1.5 gigabytes. About three genomes fit on a DVD. Genomic medicine attempts to build individualized strategies for diagnoses or therapies that utilize genomic information, but legacy analytics aren’t suited to iterative trials at scale. Legacy tools aren't suited to visual exploration of the genomic data for hundreds of individuals.
OmniSci offers researchers a platform to discover genetic opportunities for trials of new life-saving treatments using genomic data science. When scientists can visualize and cross-filter data with such transformative efficiency, they uncover hidden patterns and cryptic correlations between our genetics and our risks for cancer, heart disease or inherited disorders.