“Insanity is doing the same thing over and over again and expecting different results.” – Albert Einstein.

For many, this quote resonates with how most companies are solving data performance problems today.

Got Performance Problems?

Option 1: Throw bigger servers at the problem. This is called scale-up, until you run out of conventional processors, memory or disk you can fit on a box.

Option 2: Throw more units of the same servers at the problem. This is called scale-out. Until you realize the bottleneck now is the software and in the networking.

Option 3: Figure out software that can simulate parallelism but really batch the jobs. So much of the minimal performance gained out of server hardware is lost due to software architectures.

Now you have run headfirst into the limits of both commodity hardware and software.

The Answer is in Purpose-Built Hardware
Enter the new era of high performance big data. We need to look under the hood and think of fundamental changes if we want to see results that scale with the growth of big data today. Just as Google has moved off from Hadoop (in the software stack), so are a handful of companies venturing into hardware solutions that are built differently to solve the current challenges associated with massive data that can’t be solved in conventional ways.

Get Started
At Ryft, we have taken this core idea and built a solution that brings high performance purpose-built hardware to commercial markets. If you want to change the way you want to analyze your data, get started today with a free trial.

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