sysGen recommends OmniSci for
GPU-accelerated analytics
OmniSci redefines the limits of speed
and scale in big data querying and visualization
OmniSci - The Pioneer in GPU-accelerated Analytics
OmniSci (formerly MapD) is the pioneer in GPU-accelerated analytics. The OmniSci platform is used in business and government to find insights in data beyond the limits of mainstream analytics tools. Harnessing the massive parallel computing power of GPUs, the platform is available in Cloud (OmniSci Cloud and leading public cloud providers) and on-premise (OmniSci Core and Enterprise Edition). OmniSci originated from research at Harvard and MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). OmniSci is funded by GV, In-Q-Tel, New Enterprise Associates (NEA), NVIDIA, Tiger Global Management, Vanedge Capital and Verizon Ventures. Company is headquartered in San Francisco. Learn more about Omnisci at www.omnisci.com.
OmniSci for Operational Analytics
OmniSci removes the technological limitations preventing frequent, high-speed decisions on very large streams of operational data. OmniSci equips IT operations analytics teams with real-time, GPU-accelerated operational analytics tools for collaborative operational data visualization to make business critical decisions at the speed of modern business.
Benefits
Query Billions of Rows of Operational Data in Milliseconds
OmniSci gives you the power to query large operational datasets at extreme speeds. You don’t have to wait for tomorrow’s static report. Make your data-driven decisions now, and then make 100 more before lunch.
Self-Service Data Analytics from Any Web Browser
Analytics was a two player sport: decision-makers asked questions and analysts found answers. Now, OmniSci web-based real-time operational analytics dashboards let business leaders discover their own insights without having to wait.
Cross-Team Collaboration with Facts
With OmniSci, every team member can conduct fast data analytics in operations and share insights with colleagues. This boosts situational awareness, with more people watching operations and taking data-driven action.
Featured Use Cases
Transform Advertising Campaign Performance
Challenge
Businesses cannot adjust digital ad campaigns quickly enough using mainstream advertising analytics software. The mix between channel, target audience, product, or ad copy is constantly shifting. Media buyers must visualize those relationships to optimize their ad dollars as a campaign progresses, but standard ad reporting tools are too slow and too static.
OmniSci Solution
OmniSci gives you the power to query and visually explore large ad performance datasets at extreme speed. With OmniSci advertising analytics tools you can find hidden insights quickly enough to improve results. Mobile gaming companies and media buying agencies have turned to OmniSci to achieve a new level of ROA with our advanced media analytics software.
Thwart Banking Fraud, Prevent Losses
Challenge
Fraud prevention is woven into the fabric of daily banking operations, but only observed patterns trigger Suspicious Activity Reports (SARs) or other fraud mitigation actions. Mainstream analytics tools cannot show an integrated view of banking operations with enough speed or detail to detect all the patterns that fraudsters try so hard to hide.
OmniSci Solution
OmniSci gives fraud analysts immersive dashboards to cross-filter dozens of attributes like large dollar deposits, unusual account opens, or suspicious wire transfers. Risk analysis teams can visually explore multi-billion row datasets in milliseconds and spot hidden pockets of fraud risk that they can address directly or use to train ML algorithms to automatically spot similar patterns in the future.
Rapid Response to Cyber Incidents
Challenge
Unauthorized intruders infiltrate systems of national governments and global corporations by hiding their tracks across identities, devices and behavior. Teams in Security Operations Centers (SOCs) receive countless incident alerts, the majority of which are false alarms.. When an actual attack has occurred, slow analytics across fragmented data make it impossible for security teams to identify and patch vulnerabilities before more data is compromised.
OmniSci Solution
OmniSci zero-latency visual Investment Management data analytics don't require pre-aggregation., That speed gives financial security analysts immediate insight. They can perform hundreds of queries in quick succession, without losing access to any granular information. SOC teams can investigate far more cyber alerts every day, and when they do find a vulnerability they have the data they need to apply the right patch quickly, maintaining an ongoing patch cadence that deters future attacks.
Balance the Electrical Grid
Challenge
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.
OmniSci Solution
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.
Location and Mobile Services
Challenge
Location-based metadata can create a wealth of new business opportunity. Yet this stream of data scales too quickly for developers who want to create apps showing relationships between the location of people and equipment to other operational data. Existing analytic engines cannot keep up with the scale and speed of today’s operational data.
OmniSci Solution
The OmniSciDB SQL engine was designed for this new era of location intelligence. It can process billions of rows of structured data in milliseconds and visually render those with the same speed. This dramatically accelerates logistics analytics, marrying vital business datasets to mobile location metadata. OmniSciDB is open-source, in-house or third-party developers can easily create new apps to deliver analytic apps for exploring layers of operational location and logistics data.
Big Data in Military - Logistics and Readiness for Military Operations
Challenge
Logistics is the single greatest determinant of operational readiness. Defense and Intelligence departments continually plan and execute port activities, establish distribution networks, and initiate military operations. Yet these operations are often performed in legacy, stove-pipe systems that don’t provide a true view of situational awareness. Because of these stovepipes, analysis is inefficient without trends to optimize placement of resources, and they are ineffective without predictive analytics to prevent equipment, and mission, failure.
OmniSci Solution
OmniSci gives leaders the ability to exploit and analyze global logistics operations data through rapid crossfiltering of large and disparate datasets. This provides tactical decision making to guide troops and supplies, optimize networks, assess infrastructure, predict maintenance needs, and meet strict timelines. These logistics analytics are layered over geographic datasets, to support real-time big data analytics forlogistics operations regardless of the mission.
OmniSci for Geospatial Analytics
OmniSci is at the forefront of location intelligence for big data, combining unprecedented volumes of geospatial and BI data in one interactive analytics experience.
OmniSci instantly ingests massive amounts of geographic and geometric data types for backend polygon rendering, micro cross-filtering and stunning real-time geospatial visualization that define a new era for geospatial analytics.
Benefits
Map Billions of Data Points. Billions, with a B.
OmniSci is a radical geospatial analytics breakthrough, enabling you to visualize up to billions of data points on maps, with zero latency interactivity. Chart and map many layers of data from multiple sources.
See Geospatial Data in Context
OmniSci geo charts cross-filter by any non-geo factors that make mapped data meaningful. See important information in its location, and when you move to a new location see how the data changes.
Explore Data Across Time and Space
OmniSci gives you the unparalleled power to filter big geolocation datasets across time. By brushing across a time-series graph, watch how a location changed over days, months or years. It only takes you a second.
Featured Use Cases
Detect Network Anomalies
Challenge
Telecommunication networks transmit data from multiple towers to handsets that then report signal strength back to towers. Network operations centers (NOCs) monitor this interchange to identify instances of poor signal strength. Legacy network analysis software cannot query and visualize call detail records (CDRs) or network logs quickly enough for NOCs to fix issues before customers notice.
OmniSci Solution
Network signal strength constantly fluctuates by location, over time. OmniSci lets NOC teams query and explore CDRs and telecommunication network data on geo charts to understand where anomalies occur and then resolve them. Those responsive geospatial analytics help telcos and network analysts dispatch service teams to where they’re needed most, keeping customers happy.
Big Data in Military - Logistics and Readiness for Military Operations
Challenge
Logistics is the single greatest determinant of operational readiness. Defense and Intelligence departments continually plan and execute port activities, establish distribution networks, and initiate military operations. Yet these operations are often performed in legacy, stove-pipe systems that don’t provide a true view of situational awareness. Because of these stovepipes, analysis is inefficient without trends to optimize placement of resources, and they are ineffective without predictive analytics to prevent equipment, and mission, failure.
OmniSci Solution
OmniSci gives leaders the ability to exploit and analyze global logistics operations data through rapid crossfiltering of large and disparate datasets. This provides tactical decision making to guide troops and supplies, optimize networks, assess infrastructure, predict maintenance needs, and meet strict timelines. These logistics analytics are layered over geographic datasets, to support real-time big data analytics forlogistics operations regardless of the mission.
Respond Rapidly to Extreme Weather
Challenge
The impact of blizzards, wildfires and hurricanes are difficult to predict or track at a local level. Mainstream analytics cannot query or visualize weather disasters quickly enough for precise evacuation alerts that can save lives. This pre-aggregated view of weather forces citizens and first responders to react after people are already at risk.
OmniSci Solution
OmniSci renders new forms of sensor and IoT data along with traditional sources on interactive weather dashboards. Microclimate mapping refreshes by the minute and gives government officials and first responders geolocation insight to keep people safe. Dynamic weather maps also show airlines, construction businesses and insurance companies how to assess property risk posed by extreme weather.
Actionable Intelligence and Analysis
Challenge
Today’s information environment poses a unique challenge to the warfighter. An avalanche of intelligence collect, across every discipline, contains actionable data intelligence critical to mission success. Yet traditional analytics tools are too slow, bulky, and costly to glean these insights, or to quickly and accurately visualize it all For real-time situational awareness.
OmniSci Solution
Only OmniSci provides the SQL engine capable of exploiting this trove of data collected, and visualizing it all at the speed of thought. OmniSci gives public sector analysts and leaders an interactive dashboard capable of ingesting and visualizing vast amounts of data from multiple sources. They can toggle layers of data across a single geochart, to derive actionable intelligence and insights for mission success.
Big Data and Urban Planning /Development
Challenge
As the world’s population continues to grow and more people move to megacities, urban planners face the strain of accommodating more residents in the same urban area. This is arguably the most critical issue facing governments, as growing populations increase strain on utilities, energy, transportation, housing and health resources. City planning departments need a new form of location intelligence to meet this challenge.
OmniSci Solution
Only the OmniSci platform gives city leaders the ability to query and visualize their large geospatial datasets at the speed and scale necessary to keep pace with urbanization. OmniSci provides the ability to ingest massive location datasets from disparate sources, and cross-filter that to see how crime, public health, homelessness and education outcomes vary by location.
Location Intelligence for Upstream Exploration
Challenge
Geospatial information drives every phase of upstream exploration and production (E&P) in the oil and gas industry. The mapping, leasing, site preparation and drilling phases all have the potential to generate huge volumes of data that geologists and project managers can use to reduce costs and improve yields. Yet the wealth of data flowing from sensor-enabled machinery, geologic models, and seismic software overwhelms standard oil and gas analytics software designed for an earlier era when all data was less abundant and location data was particularly difficult to integrate into operations.
OmniSci Solution
OmniSci visual analytics help oil and gas analytics companies and other decision makers slice through the largest spatiotemporal telematics datasets, accelerating geospatial analytics and data science. It provides oil and gas companies the ability to visualize all of their big data analytics for oil and gas, to improve efficiencies around exploration and field operations. It provides these companies an oil and gas data analytics dashboard to reduce costs, mitigate risks, and optimize production.
Information Dominance in the Battlespace
Challenge
Battlespace awareness is critical to shortening decision cycles and to making better decisions than one’s adversaries. Intelligence teams must rapidly sense, collect, process, analyze, evaluate, and exploit streaming data. Yet today’s information-intensive operating environments overwhelm mainstream geospatial tools, slowing time to analysis and intelligence cycles during mission-critical moments.
OmniSci Solution
OmniSci is the GPU-accelerated analytics platform that enables intelligence analysts and commanders to query, visualize, and interact with big geolocation datasets with zero perceptible latency. This gives intelligence analysts visual exploration at the speed of thought, through an intuitive, easy-to-use dashboard, powered by the most advanced analytics engine on the market. Dominate your information environment by speeding your time to insight and decision-making.
OmniSci for Data Science
OmniSci enables data scientists to render, cross-filter and explore massive datasets in a fraction of the time of mainstream data science visualization tools.
OmniSci is the only GPU-accelerated data science platform that allows faster feature engineering pipelines for machine learning model creation and the ability to "unmask the black box" by visualizing what your black box models see in the data.
Benefits
Accelerate the Feature Engineering Process
Data scientists must pick data features to train their algorithms. Because OmniSci makes it easier and faster to explore big tables, data scientists train models more quickly, with better outcomes.
Shed Light on Black-box Models
Explaining why AI models make the predictions they make is a notorious challenge. Now, with OmniSci, data science and data visualization are integrated and explaining models to decision-makers, engenders greater trust and adoption of AI.
Visualize Predictions and Outcomes Together
ML models make predictions, but actual outcomes will vary and models can become less predictive over time. Data science using OmniSci visually shows the difference between expected and actual, so you know when to retrain the model.
Featured Use Cases
Deliver Financial Models More Quickly
Challenge
Artificial intelligence can outperform traditional techniques for predicting market movements, but greater AI adoption has a cost. Without interactive, visual ways to do feature engineering, data scientists spend too much time manually exploring hundreds of market variables, searching for the most predictive features to train their models and delaying the date when that model goes into production.
OmniSci Solution
The OmniSci platform gives data scientists at hedge funds and Investment Management firms a far faster method to generate their AI models resulting in smarter investment analysis. When visual exploration of billion-row data sets becomes 100x faster than before, asset managers and brokers can capture more opportunities, avoid more risks, and create a compounding competitive advantage through predictive analytics in Investment Management.
Predict Machine Failure with IoT Data
Challenge
Artificial intelligence is increasingly used to predict machine failure, to minimize downtime and maintenance costs for automobiles, ships or aircraft. Yet engineers have trouble explaining an AI model’s black-box recommendations, so leaders fall back on human experience and "gut" guesses in favor of predictive analytics in logistics industry to keep field equipment running as intended.
OmniSci Solution
OmniSci visual analytics makes AI models more accessible to the scientists who create them and to the broader audiences of logistics leaders, military commanders or regulators who must understand those models. With immediate visual exploration of the same underlying elements that trained AI models, anyone can trust their predictions.
Predict Hospital Staffing Levels
Challenge
Hospitals around the world look to optimize their operational efficiency by predicting optimal staffing levels without putting lives are at risk during periods of peak demand. Healthcare administrators lack a common visualization platform to track results and extend their machine learning models for precise staffing predictions.
OmniSci Solution
The OmniSci platform lets hospital staffing analysts visualize a model’s predictions and compare them to actual staffing outcomes. Every click on a chart generates SQL queries that complete in milliseconds, then all visual elements instantly refresh, giving you the best clinical pathway for your patients. Likewise, the number one goal of a hospital is to keep readmission rates low. Imagine using all of this data to create ML models that guide staffing decisions and predict readmission and recommend preventative treatment.
OmniSci for Big Data Research
OmniSci helps big data researchers visually explore big data repositories to find previously hidden trends and answer solve some of the most challenging big data research problems.
OmniSci enables gpu-accelerated big data research that is transforming the way analysts query, render and interact with large datasets for use in big data research areas like genome sequencing, pharmaceuticals, telecommunication and geospatial.
Benefits
Research Big Data, Without the Latency
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.
Visualize the Unknown Unknowns
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.
Flex Your Curiosity with Intuitive Analytics
Analytic platforms favored by statisticians or Python engineers can keep insights separated from front-line data workers. OmniSci intuitive dashboards make big data research and analytics easy for anyone with a web browser.
Featured Use Cases
Study Changes to Terrain
Challenge
Those who plan public infrastructure or environmental policy study how weather affects a place over time. The 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.
OmniSci Solution
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.
Balance the Electrical Grid
Challenge
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.
OmniSci Solution
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.
Research Genomic Data
Challenge
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 Solution
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.
OmniSci for Custom Analytics
In-house developers and software vendors leverage OmniSci open-source analytics engine to accelerate analytics applications they are already using or to create tomorrow’s GPU-accelerated analytics applications.
OmniSci empowers analysts to meet their specific big data needs across a wide variety of custom analytics use cases in business intelligence, GIS, machine learning, operational and marketing analytics.
Benefits
Develop New Custom Analytics Apps on Open-Source
Developers want to create tomorrow’s accelerated analytics applications. We open-sourced our OmniSciDB SQL engine to make its hyper-speed processing available to that community of innovators.
Boost the Performance of Existing Apps
Most enterprise applications were architected during an earlier era, before GPUs were an option. “Lift and shift” those onto the OmniSciDB SQL engine and dramatically improve their performance.
Embed OmniSci Immerse Visual Analytics
OmniSci displays data for real-time interaction. Companies can increase customer engagement by offering embedded OmniSci to valuable customers wanting to explore their own data within immersive custom data visualization.
Featured Use Cases
Showing Carriers Network Anomalies
Challenge
Tutela, crowdsourced data for the mobile industry, set out to build a crowd-sourced solution for visualizing mobile data on network quality. Once its data reached extreme volumes, it became too much for traditional telecom data visualization tools. It took days of labor to gain minor insights from an inherently valuable data set. Tutela chose to embed OmniSci visual analytics, offering its customers an interactive portal to explore network performance data on their own.
OmniSci Solution
Now Tutela's software is installed and runs on over 200 million cell phones globally to measure mobile network signal quality. Tutela’s mobile telecom clients view the health of their networks using OmniSci Immerse. This helps those telcos with operational analytics to improve their coverage and provide a better subscriber experience.
Accelerating Financial Analytics
Challenge
Second Measure, analytics platform for company performance and consumer behavior, built its business analyzing credit card transactions at a volume that amounted to about 1% of all U.S. consumer spending. Company aimed to provide those Investment Management analytics to financial analysts and equities researchers seeking insight into public and private companies. Second Measure wanted to accelerate performance to provide a better experience to its time-conscious clients.
OmniSci Solution
Second Measure uses OmniSci to accelerate its queries that analyze each transaction from each customer for a given company. Now it delivers business and financial market analytics so fast that its clients can: spot inflections in businesses as they happen, identify every week's fastest-growing companies, and see the latest company performance before it's announced.
Locating Opportunities for Urban Housing Development
Challenge
Pactriglo, real estate intelligence service, was founded on the premise that maximizing developer utilization of existing zoning could circumvent the lengthy political process and help solve LA’s housing crisis. Existing platforms, such as ZIMAS, NavigateLA, and LADBS, were unable to dive into millions of data points simultaneously, or to interactively explore the data by zone, down to the street level. Pactriglo's custom real estate application could only meet that objective by harnessing OmniSci power to query and visually explore regional housing data much faster than existing tools for geospatial analytics.
OmniSci Solution
Pactriglo empowers its building developer customers by giving them OmniSci visual analytics and SQL engine so they can slice and dice the dataset in its entirety. This eliminates the need for pre-aggregation, and Pactriglo users see results in milliseconds. They can easily cross-filter the data by the features that matter: zoning, sub-zoning, utilization, or construction activity.