June 15, 2017
Bigstream welcomes microarchitecture expert and acceleration visionary John Davis to the team as our Chief Product Officer. John has been our most valuable advisor in helping us successfully deliver the first hyper-acceleration platform to the cloud. Prior to joining us, John was part of the founding team for the FlashBlade product at Pure Storage, where he built and led the hardware group from concept to GA design. He has also done research and systems design at Sun Microsystems and Microsoft Research.
John has published over 30 refereed conference and journal papers in Computer Architecture, Systems, and Bioinformatics. He also holds over 30 issued or pending patents (see below).
Commenting on the John’s arrival, Bigstream CEO Maysam Lavasani said:
“We are very happy to welcome John Davis to Bigstream. John brings incredible energy and clarity of thought to everything he does. As an advisor, John has already contributed greatly to our product vision and company direction. As a full time part of our team, I expect his impact will be far greater”
As a further introduction to John, we sat down for an interview recently and this is what he had to say.
My main role is to help define the product by translating what customers need into products and related features, the Bigstream acceleration ecosystem.
The large cloud companies have demonstrated a way to exert extreme effort to accelerate their critical big data, ML and AI applications. More and more small and medium size companies are being built on these fundamental algorithm, but without the performance advantages. Any company that wants to use these applications or frameworks can accelerate them with Bigstream’s technology, instantly and easily!
All three benefit, IT becomes simpler and more efficient, developers can use high-level frameworks to increase productivity and Bigstream dramatically improves performance, and business becomes more agile by reducing time to intelligence as well as, creating more intelligence than could be done before.
There are many ways to recognize success: enabling customer products that were not possible before, time saved in transforming data into intelligence, and making acceleration table stakes for business success. Acceleration is generating new opportunities to create data products and insights that were not possible before. This enables our customers to react faster in an agile global business environment. This creates efficiency through acceleration by saving time, reducing energy and the physical footprint of the digital world. First to knowledge will be the differentiator between business success and failure. When customers cannot be competitive without our product, we know we are doing the right thing.
By George Demarest, Vice President of Marketing, Bigstream
June 13, 2017
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.
This month’s Bigstream Benchmark Report shows a nearly 300% performance gain over the baseline open source Apache Spark 2.1 on the same configuration. This is the result of a complete performance overhaul of Spark using Bigstream Hyper-acceleration technology. To get a better understanding of what Hyper-acceleration is, check out this interview with Bigstream CEO Maysam Lavasani.
Benchmarks are part of our daily processes and from time to time it makes sense to share performance data as we refine and expand our hyper-acceleration product. The numbers and types of testing we do will evolve over time, but we use a combination of standard industry benchmarks like TPC-DS (decision support), as well as some specific big data and machine learning use cases such as ETL, data ingest and parsing, SQL analytics and vertical industry use cases like AdTech real-time bidding, FinServ trading systems, and Retail analytics.
Here is a summary of this month’s results running Apache Spark with the Bigstream Hyper-acceleration Layer on Amazon EMR versus unaccelerated Apache Spark on the same configuration.
Here is a look at the full results of the run:
All tests were done on standard Amazon EC2 server instances (m4.4xlarge) running on Intel Xeon processors.
For a full accounting of the results, take a look at the Bigstream Benchmark Report for July 2017. In that report, you will see the following:
Check out the report to get a bit more detail about the testing environment and how we worked out the cost savings. Things are going to get even more interesting when we publish our next benchmark report. In that report, we will include some testing of FPGA powered servers.
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.
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 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 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
Today, 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.
The following is a letter written by Bigstream Co-Founder and CEO, Maysam Lavasani, to our investors, advisors, and allies on Friday, March 10, 2017.
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.