Introduction and improvement of In-memory computing

Author: 
Selwyn Zhou

At first, we should feel lucky. We are living in a gold era. ”Data Big-Bang” occurred in the past few years. However, it is still a great challenge as well as a gift. Traditional companies and traditional methods are struggling. Harder and harder with rising need for managing and analyzing so large volume of data. This phenomenon pushed us to figure out new solutions to solve the problems. Today, in this blog, I will introduce you In-memory computing (IMC).

What is in-memory computing?

  • Also named in-memory database (IMDB), main-memory database, and in-memory processing.
  • Load data into Random Access Memory (RAM) or flash memory;
  • Improve fast data access 3000 times faster than spinning disks.
  • IMC is the future of the computing;

You can find that, IMC used RAM instead of the traditional spinning disk. Although disk-based system does have a better capability for data storage, it lacks of the data analytics ability with faster speed. To today’s enterprises, it is more and more important to reduce the physical storage space and latency of the data analysis. That is the reason why breakthrough technologies explosive appeared recently. In-Memory Computing can replace the traditional ways and reshape the whole market with higher adoption.

In memory computing

What’s the future of In-memory computing?

The truth we may ignore is that IMC is ubiquitous. This concept has already been accepted by enterprises today. Along with the fashion of “Big Data”, more and more midsize to large size companies are looking for an efficient and cost-effective data management architecture. IMC is a great choice for them to consider. It offers the power to crunch large volumes of data—terabytes and more—in real time and across many different applications with affordable price. Imagine the combination of big data and IMC,I believe the outcome will be awesome.

All these factors make In-memory computing a market minion. The concept contains a great marketing potential. According to a new research study from Markets and Markets, the global market for In-Memory Computing is expected to grow from $2.21 billion in 2013 to $13.23 billion in 2018, at a CAGR of 43.0% during this forecast period.

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