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What Makes GPUs, GPU Databases Ideal for BI?

What makes GPU databases ideal for BI? That’s what a new white paper from SQream DB wants to explain — incorporating real-world use cases to explain how you can turn your existing BI pipeline into “a more capable, next-generation big data analytics system.” Download the new report, courtesy of SQream DB, to learn more about how GPUs and GPU databases can help you organize and benefit from your next big data analytics system.

Accelerating SQL and BI Analytics — Extending Analytical BI with a GPU Database

Organizations worldwide are facing the challenge of effectively analyzing their exponentially growing data stores. Download the new white paper from SQream DB that explores the features that make GPU databases ideal for BI and incorporates real-world use-cases from actual customer implementations. It also explains how you can turn your existing BI pipeline into a more capable, next-generation big data analytics system using powerful GPU technology. 

GPU Databases On the Rise at NVIDIA #GTC19

While at the NVIDIA GPU Technology Conference (GTC) this week in Silicon Valley, I noted how well GPU databases are resonating with the marketplace. The vendors in this space were highly regarded judging by the crowds in the technical sessions presented by these companies, and also the general buzz heard on the conference floor. Interest in GPU databases is certainly on the rise.

Kinetica Launches Active Analytics Platform

Kinetica, a leader in active analytics for the Extreme Data Economy, announced the release of the first complete active analytics platform, dramatically simplifying the architecture to deliver smart analytical applications at massive scale. The platform unites the key elements of active analytics: historical analytics, streaming analytics, graph analytics, location intelligence, and machine learning-powered analytics.

Introducing SQream DB v3.0 the Most Advanced GPU-Accelerated Data Warehouse for Massive Data Analytics

SQream, developer of SQream DB, a leading GPU-accelerated data warehouse for rapidly analyzing massive data stores at a fraction of the cost, announced the general availability of SQream DB v3.0. The new version enables enterprises to quickly and easily load massive volumes of data in the range of terabytes to petabytes for analysis, while generating higher quality business intelligence faster than any other data store at these volumes.

DDN and SQream Partner to Deliver Fast Big Data Analytics and Enterprise BI Acceleration at Massive Scale

DataDirect Networks (DDN®) today announced its strategic partnership with SQream to deliver real-time Big Data analytics solutions and significantly accelerate business decision making. The combination of DDN’s SFA and IME NVMe SSD storage platforms with SQream DB’s GPU-based Big Data SQL database (SQream DB) enables enterprises to effortlessly ingest, compress, store and analyze massive amounts of data.

Brytlyt GPU Database Sets Benchmark Record Using IBM Minsky Hardware

After putting the most recent version of Brytlyt’s GPU Database through its paces using IBM POWER8 hardware, independent benchmarking by industry expert Mark Litwintschik smashed the previous record, also set by Brytlyt only a month ago.

GPU-Accelerated Database & Analytics Platform Introduces SpotLyt, a Visual Analytics Tool for Billion Row Data Sets

Brytlyt, a leading GPU-accelerated database & analytics platform, is now offering a real-time visualization analytical tool, SpotLyt, designed for massive data sets. It allows data scientists and analysts to interactively analyze billion row data sets in real-time, helping them discover correlations and anomalies in ways previously thought impossible.

Kinetica’s Newest Release of the Fastest GPU-Accelerated Database Turbo Charges Geospatial Processing and Visualizations for Real-time Analytics

Kinetica announced the availability of innovations to their fast 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 Partners with NVIDIA and InterWorks to Deliver Supercharged Platform for BI

Kinetica today announced a new solution combining the immense power of NVIDIA DGX Station, the desk side supercomputer, and Kinetica’s GPU-accelerated database to speed up Tableau queries, providing users the ability to make faster data-driven decisions. Available immediately from NVIDIA and Kinetica business partner InterWorks, the new solution allows customers of Tableau, the global leader in visual analytics, to modernize their underlying databases to take full advantage of the valuable insight Tableau provides.