Dataconomy
  • News
    • Artificial Intelligence
    • Cybersecurity
    • DeFi & Blockchain
    • Finance
    • Gaming
    • Startups
    • Tech
  • Industry
  • Research
  • Resources
    • Articles
    • Guides
    • Case Studies
    • Glossary
    • Whitepapers
  • Newsletter
  • + More
    • Conversations
    • Events
    • About
      • About
      • Contact
      • Imprint
      • Legal & Privacy
      • Partner With Us
Subscribe
No Result
View All Result
  • AI
  • Tech
  • Cybersecurity
  • Finance
  • DeFi & Blockchain
  • Startups
  • Gaming
Dataconomy
  • News
    • Artificial Intelligence
    • Cybersecurity
    • DeFi & Blockchain
    • Finance
    • Gaming
    • Startups
    • Tech
  • Industry
  • Research
  • Resources
    • Articles
    • Guides
    • Case Studies
    • Glossary
    • Whitepapers
  • Newsletter
  • + More
    • Conversations
    • Events
    • About
      • About
      • Contact
      • Imprint
      • Legal & Privacy
      • Partner With Us
Subscribe
No Result
View All Result
Dataconomy
No Result
View All Result

GridGain Brings First True Plug And Play In-Memory Accelerator To Hadoop

byEileen McNulty
July 8, 2014
in News

Press Release- At the Spark Summit 2014, GridGain™ Systems, provider of the leading open source In-Memory Computing (IMC) Platform, announced that it has enhanced both the performance and ease of deployment of the latest version of the GridGainIn-Memory Accelerator for Hadoop®, expanding the benefits of in-memory computing to the Hadoop world. The GridGain Hadoop Accelerator enables companies to achieve unparalleled speed and scale with their existing Map/Reduce applications without requiring any code change to their native MapReduce, HDFS and YARN environment.

Prior to this announcement, running IMC in an existing Hadoop environment required code changes to the application, reducing organizations’ ability to quickly derive the full performance benefits of an in-memory architecture. The new GridGain Hadoop Accelerator allows for true plug and play deployment, meaning that within minutes of download developers can deliver up to 10x performance improvement on their Map/Reduce applications.

Opening the doors to in-memory-based real-time analytics
By enabling companies to more readily leverage in-memory performance at scale for their Hadoop clusters, GridGain is extending the benefits of its proven IMC Platform to a larger set of enterprise organizations. Leveraging the full GridGain IMC Platform, customers now can develop innovative, category-defining applications that process both transactional and analytic data at the speed of RAM and with unlimited scale.

“The GridGain IMC Platform’s superior 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, Co-founder 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.”

Released for early access, GridGain’s latest version of its open source IMC Platform is available for download here today.

(Image credit: Flickr)

Follow @DataconomyMedia


Interested in more content like this? Sign up to our newsletter, and you wont miss a thing!

[mc4wp_form]

Stay Ahead of the Curve!

Don't miss out on the latest insights, trends, and analysis in the world of data, technology, and startups. Subscribe to our newsletter and get exclusive content delivered straight to your inbox.

Tags: gridgain

Related Posts

Could CTEM have prevented the Oracle Cloud breach?

Could CTEM have prevented the Oracle Cloud breach?

October 5, 2025
ChatGPT reportedly reduces reliance on Reddit as a data source

ChatGPT reportedly reduces reliance on Reddit as a data source

October 3, 2025
Perplexity makes Comet AI browser free, launches background assistant and Chess.com partnership

Perplexity makes Comet AI browser free, launches background assistant and Chess.com partnership

October 3, 2025
Light-powered chip makes AI computation 100 times more efficient

Light-powered chip makes AI computation 100 times more efficient

October 3, 2025
Free and effective anti-robocall tools are now available

Free and effective anti-robocall tools are now available

October 3, 2025
Choosing the right Web3 server: OVHcloud options for startups to enterprises

Choosing the right Web3 server: OVHcloud options for startups to enterprises

October 3, 2025
Please login to join discussion

LATEST NEWS

Could CTEM have prevented the Oracle Cloud breach?

ChatGPT reportedly reduces reliance on Reddit as a data source

Perplexity makes Comet AI browser free, launches background assistant and Chess.com partnership

Light-powered chip makes AI computation 100 times more efficient

Free and effective anti-robocall tools are now available

Choosing the right Web3 server: OVHcloud options for startups to enterprises

Dataconomy

COPYRIGHT © DATACONOMY MEDIA GMBH, ALL RIGHTS RESERVED.

  • About
  • Imprint
  • Contact
  • Legal & Privacy

Follow Us

  • News
    • Artificial Intelligence
    • Cybersecurity
    • DeFi & Blockchain
    • Finance
    • Gaming
    • Startups
    • Tech
  • Industry
  • Research
  • Resources
    • Articles
    • Guides
    • Case Studies
    • Glossary
    • Whitepapers
  • Newsletter
  • + More
    • Conversations
    • Events
    • About
      • About
      • Contact
      • Imprint
      • Legal & Privacy
      • Partner With Us
No Result
View All Result
Subscribe

This website uses cookies. By continuing to use this website you are giving consent to cookies being used. Visit our Privacy Policy.