Big Data, Real Time

Gridgain 4.0 is released

Chris Mayer

The real-time Big Data platform gets a major release, just as enterprises really get their interest piqued by the field.

Unless you’ve been under a rock for the last six months, then it
can’t have escaped you that Big Data has truly captured the
imagination of the enterprise world. However, some less tech-savvy
corporations simply cannot begin to imagine to how analyse the
reams of data they are collecting and processing. Especially in
real time. 

Step up, the latest version of real-time Big Data platform,
GridGain4.0. Five
months on from setting the date, the GridGain team haven’t hit a
delay – a fact that founder and CEO Nikita Ivanov is incredibly
proud of. Big Data is still in that sort of untapped oil reserve
stage – everyone knows it is there and rushing to get a hold of it,
but there’s plenty of stumbling blocks to fully utilise the best
product possible.

Ivanov states how complex it is to develop software like
this, saying that there are ‘dozens of production clients,
testing on serious massively distributed environments, set of new
features, and the usual array of setbacks’ that all have to be
navigated to make it to the dance. 

GridGain 4.0 adds in a swathe of new features to really
harness the power of Big Data analytics, right there and then. Both
Enterprise and OEM editions come with 
GridGain Visor, a
GUI for managing and monitoring GridGain distributed installations.
Think of it as the face for the mainframe which allows users to
perform various installations and GridGain Visor has been given a
whole arsenal of new capabilities such as several new various node
actions, a topology view for metrics (for any projection),
comprehensive historical charts and advanced grid-wide events.

GridGain are also aiming for ubiquity
with the introduction of new languages aside from Java and Android
clients available with this release. Ivanov says
that ’native .NET, C++, Groovy, and Scala clients are
already in testing stage and will be coming out shortly’ followed
by ‘
Objective-C, Ruby, PHP, Python, and
Node.js native clients.’ 

The really cool part is that all
these clients are ‘affinity aware’ so Gridgain automatically
figures out what data is on which node and can call it up in no
time at all. Add in enhanced REST support, advanced security and
improved concurrent data loading and you’ve got a pretty
substantial release.

To find out more about the new
appearances in GridGain, check out
Nikita Ivanov’s blogpost
for more information. The charge
towards creating a fully fleshed out Big Data manager is certainly
in motion and GridGain are leading it with this mightily impressive

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