This whitepaper, “How to Integrate GPUs into your Business Analytics Ecosystem,” discusses how GPU technology can augment data analytics performance, enabling data warehouses and other solutions to better respond to new, yet common, database limitations that are the result of increasing data set sizes, increasing user concurrency and demand, and increased use of interactive analytics.
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.













