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From the Founder and CEO of GridGain Systems

Nikita Ivanov

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Top Stories by Nikita Ivanov

Today, we are proud to announce the first code drop of Apache Ignite, Apache Ignite v1.0 RC (Release Candidate), available for download on the Apache Ignite homepage. This is an exciting time for the project and the committers have been working hard since November to reach this milestone. We commend them all. Apache Ignite v1.0 RC not only carries forward the capabilities formerly available as the open source edition of the GridGain In-Memory Data Fabric, but now also boasts new ease-of-use and automation features, simplifying the deployment of an in-memory data fabric and allowing organizations to focus more on their core business and analysis. We know that traditional disk-based storage infrastructure is too slow to address today's growing data demands for speed at volume, and more and more types of analytics are adding to those demands. A wider variety of applic... (more)

In-Memory Database vs. In-Memory Data Grid By @GridGain | @CloudExpo [#BigData]

A few months ago, I spoke at the conference where I explained the difference between caching and an in-memory data grid. Today, having realized that many people are also looking to better understand the difference between two major categories in in-memory computing: In-Memory Database and In-Memory Data Grid, I am sharing the succinct version of my thinking on this topic - thanks to a recent analyst call that helped to put everything in place  TL;DR Skip to conclusion to get the bottom line. Nomenclature Let's clarify the naming and buzzwords first. In-Memory Database (IMDB) is a ... (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)

Hadoop – 100x Faster By @GridGain | @CloudExpo [#BigData]

If you know anything about Hadoop architecture - the task seemed daunting to us and it proved to be one of the most challenging engineering feat that we have accomplished so far. After almost 24 months of development, tens of thousands of lines of Java, Scala and C++ code, multiple design iterations, several releases and dozens of benchmarks later we have the product that can deliver real-time performance to Hadoop with only minimal integration and no ETL required. Backed-up by customer deployments that prove our performance claims and validate our architecture. Here's how we d... (more)