How Can I Process and Visualize Geospatial Data in Real Time?

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How Can I Process and Visualize Geospatial Data in Real Time?

New enterprise-grade capabilities support real-time applications including location-based analytics, risk and fraud, IoT, and more.

· Big Data Zone ·
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Thanks to Eric Mizell, V.P. Global Solutions Engineering at Kinetica, for taking me through how their GPU-accelerated database delivers new geospatial capabilities and enterprise-grade features for better performance and user experience (UX), as well as improved efficiency and use to meet the demands for real-time location-based analytics and analytic processing.

“Kinetica’s GPU-accelerated database delivers at least 100x faster performance at 1/10 th the hardware,” says Amit Vij, CEO and co-founder, Kinetica. “Those gains propel rapid innovation in data and analytics, AI, and visualizations for compute-intensive, real-time applications such as location-based analytics, customer experience (CX), risk and fraud, supply chain, and IoT.”

451 Research’s Senior Analyst, Data Platforms and Analytics, James Curtis, says:

“Enterprises have spent the last decade deploying systems to store and manage massive data sets. Now these enterprises are looking to extract business value from those data sets at real-time speeds and at an affordable price point, which is precisely where Kinetica’s latest GPU database release takes aim.”

RS Energy Group (RSEG), the leading provider of energy intelligence and investment research, provides data services of unparalleled completeness and quality.

“Through our agile, state-of-the-art technology platform called RS Prism, we are leveraging Kinetica’s new innovations  to provide exceptional data integrity with an intuitive interface, enabling leading-edge organizations to transform disparate information into meaningful discoveries and confident decisions,” according to Manuj Nikhanj, CEO, RSEG.

Enterprises need business-grade solutions to deliver on strict SLAs. Kinetica’s database packs new features such as dynamic resource provisioning, enhanced process management, and improved resource utilization for a highly scalable, available, reliable, and secure solution.

“The combination of NVIDIA and Kinetica’s advanced GPU-accelerated analytic solutions provide unmatched provides game-changing performance, scalability, and seamless integration for accelerated AI and BI workloads, particularly well-suited for analytics on fast-moving, location-based data,” says Jim McHugh, vice president and general manager of DGX Systems, NVIDIA.

The latest Kinetica release delivers the following new capabilities for developers, database administrators, and data scientists.

  • Acceleration of geospatial visualizations. The new OpenGL Framework architecture for the rendering engine results in performance benefits when working with complex geometries and visualizations. In particular, polygon and line geometries with high vertex counts, scatter plots and complex graphs or charts can realize up to a 100x improvement.

    Flight Data visualization

  • Enhanced geospatial processing for location-based analytics. Included in this release are many new functions as well as improved user interaction with these and the associated data. Also, SQL expression access to this set of functionality has been improved.

    •  Geospatial functors and data now “first-class citizens.”

    • 80 geospatial functions exposed via SQL Expression (all geospatial conditional operators, geometry calculations, nearest neighbor, geometry manipulation capabilities, etc.).

    • Spatial data management functions such as clipping, geometry splits, intersections, difference calculations, etc. Spatial joins via expression and APIs where expressions are supported.
      Twitter screen shot

  • Greatly simplified Kinetica deployment process driven through a GUI; no config file or detailed Linux interactions required. A product manager can be operational in under ten minutes machine time with a multi-node cluster across machines.

  • Enterprise-grade features such as compression, dictionary encoding, enhanced process management, and security to improve performance, reliability, administration, and minimize costs.

    •  Compression and dictionary encoding to significantly reduce hardware footprint and improve performance.

  • Enhanced process and node monitoring improve reliability and availability for mission-critical workloads.

    • Simplified administration and dynamic resource provisioning to resize, add, or remove nodes deliver ease of use and flexibility.

    •  Security enhancements such as role mapping, database auditing per use per endpoint. 

Simplified Deployment, One-Click Cloud

For cloud environments, Kinetica delivers faster time-to-value. Public cloud offers tremendous agility, flexibility, elasticity, security, and ease of use for enterprises looking to quickly get started with compute-intensive data and analytics. Kinetica’s new automated deployment options for AWS and Azure remove risk and complexity, empowering enterprises to quickly get started with an accelerated compute database.

  • Automated public cloud deployment options to accelerate time to value.

    •  No pre-purchase of a Kinetica license required using the metered offerings in Azure and AWS.

    • Bring-your-own-license automated installs for Azure and AWS.

    • Expanded supported platforms on AWS.

big data ,data visualization ,geospatial data ,real-time data analysis ,data processing ,kinetica

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