In-Memory Data Grids for Big Data and Application Performance

In-Memory Data Grids for Big Data and Application Performance


IT departments across all industries are scrambling to manage exponential data growth, but attempting to scale traditional databases isn't easy. However, savvy organizations are looking to in-memory data grids as a way to ensure real-time access to data, as well as ensure performance and scalability.

View this white paper to delve deeper in to the challenges of big data and its potential effect on application performance. Discover why an in-memory data grid may be the answer to these issues, and discover the benefits of one technology in particular, including:

  • Schema-less key value store for flexibility
  • Elastic scaling for simple addition and removal of storage nodes
  • Multiple access protocols so any application can easily access data in the grid
  • And more
Red Hat
18 Jul 2014
30 Nov 2013
4 Page(s)
White Paper
Already a Bitpipe member? Login here

Download this White Paper!

By submitting your email address, you agree to receive emails regarding relevant topic offers from TechTarget and its partners. You can withdraw your consent at any time. Contact TechTarget at 275 Grove Street, Newton, MA.

You also agree that your personal information may be transferred and processed in the United States, and that you have read and agree to the Terms of Use and the Privacy Policy.

Safe Harbor