bigstream blog

Bringing Hardware Acceleration to Data Science Without Touching Your Code

Part 1 of an interview with Maysam Lavasani, co-founder and CEO of Bigstream

On March 14 of this year, Bigstream announced the availability of the Bigstream Hyper-Acceleration Layer on Amazon EMR and for on-prem use. After years of research and almost 2 years of stealth development, the introduction of Bigstream hyper-acceleration 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.

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But what is hyper-acceleration? What does it mean for data scientists, data engineers, DevOps teams and application architects? We sat down with Bigstream CEO Maysam Lavasani to get his perspective on hyper-acceleration, Apache Spark and the company that he co-founded. Read more »

The Bigstream story; presented and demonstrated

The Strata Conference was host to the first public demonstration of Bigstream Hyper-acceleration. See our announcement blog from the event.

Bigstream was honored with invitations to both the Solutions Showcase and the Startup Showcase.  We used that to demonstrate an AdTech use case that achieved 2.5X acceleration of  Spark SQL operations with no hardware acceleration and an ETL use cases that achieved about 10x acceleration using an FPGA.  Neither demos, nor benchmarks required changes to a single line of code. That is Hyper-acceleration.

Presented and demonstrated by Bigstream Solutions Architect, Roop Ganguly

Bigstream Announces the First Hyper-Acceleration Platform for Big Data on Amazon EMR

Bigstream achieves 2X-5X seamless acceleration of Apache Spark workloads, projects 10X-30X with GPUs/FPGAs

March 14, 2017
Strata + Hadoop World 2017, San Jose, CA

architectureToday, Bigstream announces the general availability of the industry’s only hyper-acceleration platform for big data. After years of research and nearly two years of stealth mode development, the Bigstream Hyper-acceleration Layer delivers 2X to 5X performance acceleration of Apache Spark workloads while requiring zero application code changes. Subsequent Bigstream releases will incorporate seamless acceleration using Field Programmable Gate Arrays (FPGAs) and Graphics Processing Units (GPUs) that can achieve up to 30X performance acceleration of Spark SQL, Machine Learning and other big data platforms.

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Bigstream to introduce hyper-acceleration for Apache Spark at Strata 2017

maysamThe following is a letter written by Bigstream Co-Founder and CEO,  Maysam Lavasani,  to our investors, advisors, and allies on Friday, March 10, 2017.

Hello.

I am writing to let you know that Bigstream is about to announce our first generally available product. It is designed to deliver hyper-acceleration 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 hyper-acceleration technology is going to change the way people think about acceleration using GPUs, FPGAs, and many-cores.

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