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
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
Skip to conclusion to get the bottom line.
Let's clarify the naming and buzzwords first. In-Memory Database (IMDB) is a ... (more)
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
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)
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)