Univa HPC Job Bank
HPC in the Cloud


Dedicated to covering high-end cloud computing
in science, industry and the datacenter

Language Flags

GigaSpaces XAP 9.0 Release Enables Building Your Own Real-Time Analytics Platform for Big Data Applications


Out-of-the-box blueprints for Twitter- and Facebook-like analytics systems available for download today

NEW YORK, May 21 — GigaSpaces Technologies, a pioneer of data scalability and next-generation application platforms for mission-critical applications, announces the launch of XAP 9.0. At the core of the latest release of the GigaSpaces platform is its ability to quickly launch a high-performance real-time analytics system for applications processing massive data sets, quickly and easily.

"In today's business world there is an increased – even dire – need for real-time insights, especially for large-scale location-aware mobile, social, and financial/risk analysis applications. This is clearly evidenced by the launch real-time analytics platforms by Facebook, Google, and Twitter this past year," says Adi Paz, GigaSpaces EVP of Marketing & Business Development. "What is common to all real-time analytics systems is the need for streaming data processing, alongside batch processing, such as Hadoop provides. However, building a system for Big Data apps is complicated – it must maintain reliability, scalability, and performance even at immensely large scales of data. XAP 9.0 was specifically designed to resolve these challenges."

Major social networking platforms like Facebook and Twitter have developed their own architectures for handling the need for real-time analytics on huge amounts of data. However, not every company has the need or resources to build their own Twitter-like solution. This is where XAP 9.0 comes in. With the GigaSpaces real-time analytics solution for Big Data, there is no need to reinvent the wheel – GigaSpaces has taken the same Twitter/Facebook-like blueprint, and made it simple enough for developers to implement a Big Data analytics system in a matter of days, or even less. GigaSpaces XAP has a long record of providing elastic real-time processing, and in version 9.0 these capabilities have been honed to specifically meet today's challenges to real-time analytics for Big Data.

What are the issues that make real-time analytics for Big Data such a challenge? These are the "3 Vs" of Big Data:

  • Volume: The system must be able to deal with extremely large amounts of data.
  • Variety: The data is diverse and comes from many sources. The system must be able to accommodate new and different schemas and languages without any need to change the system or downtime to set it up.
  • Velocity: The speed of data processing must keep up with the speed of incoming data, while maintaining real-time latency levels.

GigaSpaces XAP 9.0 includes the exact feature set to meet these challenges:

  • Real-time, scalable streaming data processing:
    • Patent-pending parallel processing (FIFO Groups).
    • Fine-grained data compression.
    • Reduced memory footprint, with no compromise on query capabilities.
    • Local view, which enables keeping local data continuously updated
    • Ability of all the above to now work across multiple sites, dynamically, through XAP's WAN Dynamic Topology API.
  • Integration with Big Data back-end databases, such as Hbase, Cassandra, and MongoDB to ensure consistent flow of data without affecting performance.
  • Big Data analytics on the cloud.
    Built-in cloud-enablement features provide:
    • Consistent automation of deployment, scaling, and failover of the entire Big Data application stack on any private or public cloud.
    • Built-in support for managing Big Data services, such as Cassandra, MongoDB, Solr, and more.
    • Support for bare metal environments for extreme I/O.
    • Elastic scaling to reduce the total cost of ownership of running Big Data apps.

"What sets apart the GigaSpaces Big Data solution for real-time analytics is the combination of simplicity and reliable high performance," says Paz. "Real-time analytics is actually a very complex area, and the ability to get a ready-made, easy-to-implement solution cannot be overestimated. At the same time, simplicity is not enough for business that require accuracy, speed and reliability as basic requirements. XAP 9.0 provides all of the above."

GigaSpaces XAP 9.0 is available for download today.

Join us for our webinar and meetup on Big Data:

About GigaSpaces

GigaSpaces Technologies is the pioneer of a new generation of application virtualization platforms and a leading provider of end-to-end scaling solutions for distributed, mission-critical application environments, and cloud enabling technologies. GigaSpaces is the only platform on the market that offers truly silo-free architecture, along with operational agility and openness, delivering enhanced efficiency, extreme performance and always-on availability. The GigaSpaces solutions are designed from the ground up to run on any cloud environment – private, public, or hybrid – and offer a pain-free, evolutionary path to meet tomorrow's IT challenges. Hundreds of organizations worldwide use GigaSpaces' technology to enhance IT efficiency and performance, among which are Fortune Global 500 companies, including top financial service enterprises, e-commerce companies, online gaming providers, and telecom carriers. For more information, visit http://www.gigaspaces.com, or the company's blog at http://blog.gigaspaces.com.

-----

Source: GigaSpaces Technologies

Most Read Blogs

Aspen

Feature Articles

CometCloud: Using a Federated HPC-Cloud to Understand Fluid Flow in Microchannels

The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
Read more...

CERN, Google, and the Future of Global Science Initiatives

Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Read more...

Avoiding Scientific Computing Bottlenecks in the Cloud

Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
Read more...

Short Takes

Running Computational Fluid Dynamics in the Cloud

May 16, 2013 | When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
Read more...

In Support of Cloud-based Rendering

May 10, 2013 | Australian visual effects company, Animal Logic, is considering a move to the public cloud.
Read more...

Internet2 Awards Program Seeks Innovative Applications

May 10, 2013 | Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
Read more...

Sponsored Whitepapers

Best Practices in Big Data Storage

05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.

Exploring the Potential of Heterogeneous Computing

04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.

Sponsored Multimedias

Newsletters

Stay informed! Subscribe to HPC in the Cloud email Newsletters.

HPC in the Cloud Update
HPCwire Weekly Update
Digital Manufacturing Report
Datanami
HPCwire Conferences & Events
Job Bank
HPCwire Product Showcases


ISC

HPC Job Bank


Featured Events



  • June 16, 2013 - June 20, 2013
    ISC'13
    Leipzig,
    Germany

  • June 17, 2013 - June 18, 2013
    Forecast 2013
    San Francisco, CA
    United States




HPC in the Cloud Conferences & Events