Archivo de la categoría: GigaSpaces Technologies

Big Data, Cassandra, GigaSpace, GigaSpaces Technologies, NoSQL, XAP

GigaSpaces Releases XAP 9.5: Enhanced for Cassandra Big Data Store, .NET Framework

GigaSpaces Technologies has released XAP 9.5, a new version of its in-memory computing platform that enables a quick launch of high-performance real-time analytics systems for Big Data.

At the core of the latest release of the GigaSpaces platform is XAP 9.5’s enhanced integration with NoSQL datastores, such as Cassandra. Combining the Cassandra datastore with the GigaSpaces in-memory computing platform adds real-time processing and immediate consistency to the application stack, while also guaranteeing dynamic scalability and transactionality – all necessary elements for enterprises that need real-time analytics or processing of streaming Big Data.

In this combined architecture, XAP in-memory computing provide the real-time data processing engine that is interoperable with any language or application framework, while the Cassandra DB provides long-term storage of data for use in real-time analytics.

A GigaSpaces benchmark done for the integration of XAP with Cassandra shows that this integration dramatically improves real-time performance for data retrieval operations. Putting the GigaSpaces in-memory data grid in front of the Cassandra Big Data solution resulted in performance of read that is up to 2000 times faster.

Up until XAP 9.5. this integration was only available for XAP Java users. XAP 9.5 further innovates by allowing .Net users to leverage the same built in Cassandra integration. This integration provides a seamless bi-directional translation between Cassandra’s columnar data model and the richer document and object oriented models available in XAP. This works for both Java & .NET XAP deployments allowing for .NET developers to speed up their Cassandra based big data applications.

“The GigaSpaces XAP Cassandra integration enables companies to enjoy both in-memory data grid capabilities and Big Data processing, easily and for any framework – Java or .NET,” says Uri Cohen, GigaSpaces VP of Product. “This enables companies to be more agile in meeting both current and future data processing challenges.”

Cloudify, GigaSpaces Technologies, GitHub, Open Source, OpenStack, OpsCode, Partnerships, Rackspace

Gigaspaces Cloudify Partners with OpSpaces for Chef Onboarding

GigaSpaces Technologies, with its new release of the open source Cloudify product, has partnered with OpsCode for a dedicated Chef integration that caters to diverse application stacks and systems.

“The concept of DevOps and recipes can go well beyond setup, to actually manage the entire lifecycle of your applications—from setup, to monitoring, through maintaining high availability, and auto-scaling when required.  This is where Cloudify and Chef come together,” says Bryan Hale, Director of Business Development for OpsCode. “By enabling users to leverage the power and variety of Chef recipes and cookbooks to deploy services, Cloudify supports comprehensive application level orchestration on any cloud.”

In addition to the integration with Chef, this new release also includes the following features:

  • Complete application-level orchestration, allowing automated provisioning, deployment, management and scaling of complex multi-tier apps to any cloud environment
  • Built-in, ready to use recipes for common big data components, such as Hadoop, Cassandra and MongoDB.
  • Support for non-virtualized environments (AKA Bring Your Own Node), allowing you to treat an arbitrary set of server as your “Cloud” and have Cloudify deploy and manage applications on these servers.
  • Comprehensive REST API for easy integration with third-party tooling and programmatic access.
  • Support for all the common cloud infrastructures, including OpenStack, HPCloud, RackSpace, Windows Azure, Apache CloudStack, Amazon AWS and vCloud.

In addition, Cloudify now also simplifies the complexities involved with deploying big data applications to the cloud.  It is well-known that the massive computing and storage resources that are needed to support big data deployments make cloud environments, public and private, an ideal fit.  But managing big data application on the cloud is no easy feat – as these systems and applications often include other services such as relational and non-relational databases, stream processing tools, web front ends and more, where each framework comes with its own management, installation, configuration, and scaling mechanisms.  With its new built-in recipes, Cloudify provides consistent management and cloud portability for popular big data tools, exponentially reducing the operational and infrastructure costs involved with running these systems.

“We’re seeing a growing market trend for the need to migrate applications – not just in one-off processes anymore – but on a much larger scale, by enterprises, managed service providers, and ISVs alike, who are looking to take advantage of the cloud promise—while until now, only about 5% have actually been able to do so,” says Uri Cohen, Vice President of Product Management at GigaSpaces. “The beauty of Cloudify and its recipe-based model is that it enables you to simply and smoothly take both new and existing applications to the cloud by the tens and hundreds through Cloudify’s built-in recipes and the new integration with OpsCode’s Chef, in very short time frames.”

You can fork the Cloudify code from GitHub, or download the Cloudify GA release.