Dr. Dobb's is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them. Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

Channels ▼


In-Memory Computing Platforms Solidify

In-Memory Computing Platform (IMCP) company GridGain Systems has enhanced its In-Memory Accelerator for Hadoop. The technology provides speed and scale with Map/Reduce applications without requiring any code change to native MapReduce, HDFS, and YARN environments.

Prior to this announcement, running in-memory computing in an existing Hadoop environment required code changes to the application, reducing developers' abilities to quickly derive the full performance benefits of an in-memory architecture.

This new Hadoop Accelerator is plug and play — within minutes of download developers can deliver up to 10x performance improvement on their Map/Reduce applications.

The firm says that by using its full IMC Platform, customers now can develop "category-defining" applications that process both transactional and analytic data at the speed of RAM and with unlimited scale.

"The GridGain IMC Platform's speed and scalability has been amply demonstrated in transaction-based processing, particularly in financial services, where one of GridGain's largest customers was recently able to achieve one billion ACID transactions per second," said Nikita Ivanov, cofounder and CTO, GridGain Systems.

"But more and more, customers are also looking for a way to enable real-time analytics within their existing Hadoop environment, without having to invest too much time or effort in the process. GridGain's IMC Platform is the first to enhance high-speed, high-scale transactions and real-time analytics with an in-memory plug and play Hadoop Accelerator."

Related Reading

More Insights

Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

Dr. Dobb's encourages readers to engage in spirited, healthy debate, including taking us to task. However, Dr. Dobb's moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing or spam. Dr. Dobb's further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.