Kinetica today announced at Tableau Conference 2017 the availability of innovations to the industry’s fastest GPU-accelerated database that deliver new geospatial capabilities and enterprise-grade features for better performance and user experience, as well as improved efficiency and utilization to drive real-time, location-based analytics and analytic processing.
“Kinetica’s GPU-accelerated database delivers at least 100x faster performance at 1/10th the hardware,” said 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, risk and fraud, supply chain and IoT.”
“Enterprises have spent the last decade deploying systems to store and manage massive data sets,” said 451 Research’s Senior Analyst, Data Platforms and Analytics, James Curtis. “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,” said Jim McHugh, vice president and general manager of DGX Systems, NVIDIA.
The latest Kinetica release delivers the following new capabilities:
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.
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 & APIs where expressions are supported
Greatly simplified Kinetica deployment process
Deployment is now driven through a GUI; no config file or detailed Linux interactions required. A product manager can be operational in under 10 minutes machine time with a multi-node cluster across machines
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, capacity and utilization
- Enhanced process and node monitoring improves reliability and availability for mission critical workloads.
- Simplified administration and dynamic resource provisioning to resize, add or remove nodes delivers 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, Azure and GCP
The latest release of Kinetica’s in-memory, GPU-accelerated compute database is immediately available. The Kinetica Trial Edition will be available by October 31 at https://www.kinetica.com/trial/. Kinetica in Azure and AWS one-click will be available by October 31.
Visit Kinetica at Tableau Conference 2017 in Booth #115
Kinetica is the insight engine for the Extreme Data Economy. The Kinetica engine combines artificial intelligence and machine learning, data visualization and location-based analytics, and the accelerated computing power of a GPU database across healthcare, energy, telecommunications, retail, and financial services. Kinetica has a rich partner ecosystem, including NVIDIA, Dell, HP, and IBM, and is privately held, backed by leading global venture capital firms Canvas Ventures, Citi Ventures, GreatPoint Ventures, and Meritech Capital Partners.For more information and trial downloads, visit kinetica.com or follow us on LinkedIn and Twitter.