Browse by topic
Subscribe to our news

Hardware Acceleration for Big Data Analytics: How Your Enterprise Can Achieve Better Performance

Every organization wants to be all-in on digital transformation, seeking to dive deep into its big data platforms to drive efficiency and optimization. As these efforts become more critical to your enterprise, the priority becomes building an infrastructure that can meet the demand for a much higher computational power. CPU clustering has been one avenue, but Moore’s law is no longer applicable.
Read

FPGA

FPGA vs. GPU Acceleration: Considering Performance/Power

To improve the performance of compute infrastructure and to keep up with the expanding requirements of data analytics and AI, many enterprises are looking to hardware acceleration as a integral solution. In most situations, advanced programmable hardware—mainly GPUs and FPGAs—is the primary source of acceleration. By using this advanced hardware, enterprises are gaining computational advantages; however, there are still reasonable concerns related to the difficulty of programming this specific hardware.
Read

FPGA

FPGA vs. GPU Acceleration: Considering Performance/Price

Hardware-based acceleration is becoming a more important approach for improving the performance of compute infrastructure, addressing the growing needs of data analytics and AI. Typically, acceleration occurs via some form of advanced programmable hardware, such as a GPU or FPGA. This provides computational advantages, including application specificity of hardware, over general-purpose CPUs. A principal concern is the programming of advanced hardware and its difficulty.
Read

Press Release

Bigstream Closes Funding Round Led by Xilinx and Cota Capital, with Samsung and SK hynix

MOUNTAIN VIEW, CA, April 29, 2020/PRNewswire/ — Bigstream announced it has completed a $19.1 million funding round led by new investor Xilinx and existing investor Cota Capital, with participation from Samsung and SK hynix.
Read

FPGA

Bigstream Benchmark Report Shows 54% Cost Savings on Spark Deployments

June benchmark results show a 2.89X speedup of Spark Bigstream is in the acceleration business. Our approach to hyper-acceleration is at the platform level, as opposed to point solutions that require special APIs, custom coding, and changes to IT and DevOps processes. This means that as we add new platforms and features, the entire platform benefits. And Bigstream customers reap the benefits without ever changing a line of code.
Read

Announcements

Bringing Hardware Acceleration to Data Science Without Touching Your Code

On March 14 of this year, Bigstream announced the availability of the Bigstream Hyperacceleration Layer on Amazon EMR and for on-prem use. After years of research and almost 2 years of stealth development, the introduction of Bigstream hyperacceleration for Apache Spark, Spark SQL/Dataframes and other big data technologies adds a powerful, frictionless technology to maximize the performance and economics of big data infrastructure.
Read

Announcements

The Bigstream Story: Presented and Demonstrated

The Strata Conference was host to the first public demonstration of Bigstream Hyperacceleration. See our announcement blog from the event.
Read

Bigstream

Bigstream to introduce hyperacceleration for Apache Spark at Strata 2017

I am writing to let you know that Bigstream is about to announce our first generally available product. It is designed to deliver hyperacceleration for a variety of big data and machine learning platforms, with Apache Spark being our initial focus. Following years of research and nearly two years of stealth mode development, Bigstream hyperacceleration technology is going to change the way people think about acceleration using GPUs, FPGAs, and many-cores.
Read

Bigstream

Bigstream Announces the First Hyperacceleration Platform for Big Data on Amazon EMR

  Today, Bigstream announces the general availability of the industry’s only hyperacceleration platform for big data. After years of research and nearly two years of stealth mode development, the Bigstream Hyperacceleration Layer delivers 2X to 5X performance acceleration of Apache Spark workloads while requiring zero application code changes.
Read

Get the latest updates

Subscribe to our blog and get the newest hyperacceleration articles, straight to your inbox.