Browse by topic
Subscribe to our news

Blog

How One IoT Company Improved Apache Spark™ Performance Sixfold

IOT pipelines are compute-intensive. Apache Spark performance is often put to the test in these scaled environments. Learn how a Bigstream IOT customer was able to improve its Spark workflow Sixfold.
Read

Blog

How Adding Hyperacceleration Can Deliver the Business Value That Apache Spark™ Has Promised

Nearly every CEO aspires to make their company data-driven, infuse a data culture, and advance along the data maturity curve. If they fail, their board of directors will seek someone who can harness the value of data. Companies and other organizations succeeding on this path have invested in both the skills and culture, but also a fair amount of technology. Data is top of mind, not just for the CEO, but also for leaders throughout the organization.
Read

Blog

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 CPU clustering has been one avenue, but Moore’s law is no longer applicable.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

Blog

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

Blog

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

Announcements

Bigstream - Engineering Roots

The idea for Bigstream and hyperacceleration goes back to 2015. Below is an interview with founder Maysam Lavasani about the vision. What is hyperacceleration? What does it mean for data scientists, data engineers, DevOps teams and application architects? 
Read

Get the latest updates

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