Dataconomy
  • News
    • Artificial Intelligence
    • Cybersecurity
    • DeFi & Blockchain
    • Finance
    • Gaming
    • Startups
    • Tech
  • Industry
  • Research
  • Resources
    • Articles
    • Guides
    • Case Studies
    • Whitepapers
    • AI Models Leaderboard
  • AI toolsNEW
  • Newsletter
  • + More
    • Glossary
    • Conversations
    • Events
    • About
      • Who we are
      • 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
    • Whitepapers
    • AI Models Leaderboard
  • AI toolsNEW
  • Newsletter
  • + More
    • Glossary
    • Conversations
    • Events
    • About
      • Who we are
      • 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
Home News
Share on FacebookShare on TwitterShare on LinkedInShare on WhatsAppShare on e-mail
Google Preferred Source

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

OpenAI retires Atlas browser to focus on new ChatGPT superapp

OpenAI retires Atlas browser to focus on new ChatGPT superapp

July 14, 2026
Microsoft tests Copilot’s new PC insights feature in Windows 11

Microsoft tests Copilot’s new PC insights feature in Windows 11

July 14, 2026
Xiaomi unveils SkyNomad N90 range-extender SUV

Xiaomi unveils SkyNomad N90 range-extender SUV

July 14, 2026
X algorithm update aims to make replies feel friendlier

X algorithm update aims to make replies feel friendlier

July 14, 2026
Windows 11 Search Box gets less clutter and more control

Windows 11 Search Box gets less clutter and more control

July 14, 2026
Pixel 11 leak shows bold magenta and peach colors

Pixel 11 leak shows bold magenta and peach colors

July 14, 2026
Please login to join discussion

LATEST NEWS

OpenAI retires Atlas browser to focus on new ChatGPT superapp

Microsoft tests Copilot’s new PC insights feature in Windows 11

Xiaomi unveils SkyNomad N90 range-extender SUV

X algorithm update aims to make replies feel friendlier

Windows 11 Search Box gets less clutter and more control

Pixel 11 leak shows bold magenta and peach colors

BEST AI MODELS LEADERBOARD

See the best AI models, ranked by intelligence, benchmark results, speed and token price. Find the most suitable LLMs, Text-to-Image, Image Editing, Text-to-Speech, Text-to-Video and Image-to-Video  artificial intelligence model for your tasks and business.

LATEST TOOLS

Mootion

Legacy AI

Copyseeker

ProPhotos

Kuki AI

Create

RemodelAI

AItwitch

Vadoo AI

Greptile AI

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
    • Whitepapers
    • AI Models Leaderboard
  • AI tools
  • Newsletter
  • + More
    • Glossary
    • Conversations
    • Events
    • About
      • Who we are
      • Contact
      • Imprint
      • Legal & Privacy
      • Partner With Us
No Result
View All Result
Subscribe

This website uses cookies to improve your experience. You can choose to accept or reject them. Visit our Privacy Policy.