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Data & Analytics

Bigstream Use Case

The problem

There is more pressure on companies to use big data analysis to gain a competitive edge, and the amount of data is ever-growing.

Companies are missing their SLAs due to demand for computation outgrowing the budget.

The solution

Hyperacceleration technology enables big data applications to leverage the power of programmable hardware (like FPGAs) and software optimizations with many-core CPUs.

The Bigstream hyperacceleration layer sits between the big data platform and the hardware.

The technology

Hardware accelerators are specialized hardware such as FPGAs, GPUs and ASICs that have performance advantages over standard CPU computation.

FPGAs in particular can be programmed at the hardware level to optimize analytics processing.

Companies are required to collect,process and analyze vast amounts of data every day. 1 Bigstream’s acceleration technology can analyze data and extract insights 10 times faster than before with zero code change. 2 Enabling companies to make fast and accurate decisionsin real time. 3
1 2 3 Companies are required to collect, process and analyze vast amounts of data every day. Bigstream’s acceleration technology can analyzedata and extract insights 10 times faster than before with zero code change. Enabling companies to make fast and accuratedecisions in real time.

Key benefits

Up to 10x acceleration compared to current systems Improved performance for data analytics Reduceinfrastructurecosts by upto 40% Zero codechange required
Up to 10x acceleration compared to current systems Improved performance for data analytics Reduceinfrastructurecosts by upto 40% Zero codechange required

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