/ Analysis / SpaceCurve Announces First Spatial Data Platform to Transform Space and Time into Real-Time Operational Intelligence

SpaceCurve Announces First Spatial Data Platform to Transform Space and Time into Real-Time Operational Intelligence

Matt Ball on December 16, 2014 - in Analysis, Products

Seattle, Wash., Dec. 16, 2014 — SpaceCurve today announces availability of the first spatial data platform specifically engineered to enable operational intelligence from complex spatially fused data at extreme scales. The platform delivers unprecedented time-to-value using space and time as the key indices for all associated data. SpaceCurve continuously fuses geospatial, sensor, IoT, social media, location, and other streaming and historical data while making the data immediately available for analytics and operational intelligence. SpaceCurve is live with partners including AirSage, Esri, and L-3 and with customers in government, defense, transportation, location analytics and telecommunications.

“Whether monitoring the flow of populations and commerce throughout a city in order to understand complex consumer behaviors, or using remote sensing platforms to detect risks in agricultural supply chains, or combining aircraft sensor data with atmospheric measurements to optimize the fuel economy of flights in real-time, the ability to contextualize almost any operational scenario by combining live sensor data with historical or slow moving data, at speed and scale, is game changing,” said Dane Coyer, SpaceCurve CEO. “A significant challenge for addressing these business applications is selecting an infrastructure that can fully exploit the power of massive amounts of real-time sensor data. We believe SpaceCurve has created the most powerful solution to fulfill that promise,” continued Coyer.

The Internet of Everything requires immediate analysis of sensor representations of the real world for a wide range of purposes, from understanding consumer behavior to optimizing oil and gas production. The ‘where’ and ‘when’ are not just coincidental attributes of the data that might be stored in the database, they are the primary attributes that drive high-value applications. Analysis of this data necessarily reflects the intrinsically spatial nature of the world we live in. Traditional data architectures weren’t designed to handle streaming sensor data with spatial and temporal attributes at the speed and scale required.

For example, communications companies can now monitor network sensor data in real-time, detecting patterns of human migration to understand the density of people in a given location, physical or virtual, at a particular point in time to improve services. In transportation and logistics, the movement of people and products from one location to another can be optimized by fusing real-time environmental conditions, traffic flows, and any other operational factors to constantly determine the most economical routes possible.

“Our clients transmit and receive massive amounts of information on the Internet where seconds can mean the difference between a sub-par and an exceptional end-user experience that delights clients, decreases bounce rates, increases impressions and increasing campaign conversions. Every millisecond counts. Incorporating precise, real-time spatial context and analysis into our optimization process creates a game changing capability for Dyn and the internet performance industry,” said Phil Stanhope, Fellow at Dyn. “In order to research next generation approaches to these problems we worked with partners like SpaceCurve to better understand their best practices and how to leverage their technology to perform real-time spatial internet performance telemetry processing,” continued Stanhope.

SpaceCurve was purpose-built for high-velocity spatial data at extreme scales, such as sensor data, and the fusion of this data with any combination of other data sources (weather, economic, social media, images, and maps for example). SpaceCurve integrates every available data source in real-time while allowing immediate access to the live data model using standard interfaces such as SQL, REST, JSON, and popular tools such as ArcGIS and popular analytics interfaces. The ability of SpaceCurve to continuously index and store this data while delivering real time parallel query execution enables fast, interactive spatial analytics that cannot be achieved using technologies currently on the market. This is combined with a computational geometry engine that is uniquely capable of performing ultra-precise spatial operations, ensuring maximum fidelity for applications with global scope.

“Socrata is pleased to be working with SpaceCurve. We are excited about the potential of the platform to help manage, collect and analyze huge amounts of spatial data at scale,” said Franklin Williams, Senior Technical Program Manager at Socrata.

SpaceCurve is dynamically scalable on commodity hardware, either in the cloud or on a client’s premise.

About SpaceCurve

SpaceCurve delivers the first platform purpose-built to spatially organize and analyze machine-generated data sources in real-time at extreme scales. SpaceCurve enables the continuous ingestion and storage of high-velocity data sources while concurrently fusing this data into a single spatiotemporal context that supports real-time parallel queries. The core technology was specifically designed to provide a live, seamless, analyzable model of the real world with unparalleled fidelity. Engineered for the Internet of Everything, SpaceCurve overcomes the scalability limitations of traditional spatial databases and big data platforms to provide unprecedented operational intelligence from diverse data sources at petabyte scales.

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