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From the Founder and CEO of GridGain Systems

Nikita Ivanov

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Top Stories by Nikita Ivanov

Let's start at... the beginning. What is the in-memory computing? Kirill Sheynkman from RTP Ventures gave the following crisp definition which I like very much: "In-Memory Computing is based on a memory-first principle utilizing high-performance, integrated, distributed main memory systems to compute and transact on large-scale data sets in real-time - orders of magnitude faster than traditional disk-based systems." The most important part of this definition is "memory-first principle". Let me explain... Memory-First Principle Memory-first principle (or architecture) refers to a fundamental set of algorithmic optimizations one can take advantage of when data is stored mainly in Random Access Memory (RAM) vs. in block-level devices like HDD or SSD. RAM has dramatically different characteristics than block-level devices including disks, SSDs or Flash-on-PCI-E arrays... (more)

In-Memory Technology & Wave of Innovation By @GridGain | @CloudExpo [#BigData]

In-Memory Technology Will Open the Doors to a Wave of Innovation by Abe Kleinfeld and Nikita Ivanov Gordon E. Moore's famously predicted tech explosion was prophetic, but it may have hit a snag.  While the number of transistors on integrated circuits has doubled approximately every two years since his 1965 paper, the ability to process and transact on data hasn't. We're now ingesting data faster than we can make sense of it, leaving computing at an impasse. Without a new approach, the innovation promised by the combination of Big Data and internet scale may be like the flying car... (more)

In-Memory Computing By @GridGain | @CloudExpo [#BigData]

The Facts and Fiction of In-Memory Computing In the last year, conversations about In-Memory Computing (IMC) have become more and more prevalent in enterprise IT circles, especially with organizations feeling the pressure to process massive quantities of data at the speed that is now being demanded by the Internet. The hype around IMC is justified: tasks that once took hours to execute are streamlined down to seconds by moving the computation and data from disk, directly to RAM. Through this simple adjustment, analytics are happening in real-time, and applications (as well as th... (more)

A Mature In-Memory Data Fabric By @GridGain | @CloudExpo [#BigData]

Why the Fast Data World Needs a Proven and Mature In-Memory Data Fabric Much of what human beings experience as commonplace today - social networking, online gaming, mobile and wearable computing -- was impossible a decade ago. One thing is certain: we're going to see even more impressive advances in the next few years. However, this will be the result of a fundamental change in computing, as current methods have reached their limit in terms of speed and volume. Traditional disk-based storage infrastructure is far too slow to meet today's data demands for speed at volume, which ar... (more)

The State of Real-time Analytics in Financial Services By @GridGain [#BigData]

The State of Real-time Analytics in Financial Services My company, GridGain, recently announced the results of a survey that asked close to 200 IT decision-makers - including project managers, network managers, software and business analysts, and other technology professionals working in the financial services industry - about their companies' attitudes, practices and challenges around data technology, with a focus on the state of the industry's adoption of real time analytics technologies. Here's what we found: In the report - A Cautious Revolution: Financial Services' Prudent E... (more)