ScaleOut Analytics Server

ScaleOut Analytics Server combines a scalable, in-memory data grid (IMDG) with powerful computational features to deliver near real-time map/reduce analytics. This platform employs a simplified form of map/reduce that reduces development time and accelerates performance.ScaleOut Analytics Server enables applications to execute user-defined methods in parallel on a selected set of data and then combine the results with user-defined merge algorithms. It stores datasets as objects in a scalable, in-memory data grid, minimizing data motion and providing fast results. Performing analysis with... Read more


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Latest Version

5.0.23.223 (Other available versions)


Operating System

Linux/Unix, Amazon Linux 2012.09


Delivery Method

64-bit Amazon Machine Image (AMI) (Read more)



AWS Services Required

Amazon EC2, Amazon EBS


Highlights

  • Ease of Use: Map/reduce methods are written as in-memory Java methods without use of APIs to access data from the in-memory data grid. Data for analysis is selected using parallel query based on object properties.
  • Automatic code shipping: Ships application code and dependent libraries to each server and deploys them, creating an execution environment on the in-memory data grid. Applications can pre-stage the execution environment to optimize performance.
  • Fast Performance, No Tuning: Automatically executes map and reduce methods in parallel across multiple cores within each server and all servers within the in-memory data grid. The grid merges results across servers to provide an in-memory result.

Product Description

ScaleOut Analytics Server combines a scalable, in-memory data grid (IMDG) with powerful computational features to deliver near real-time map/reduce analytics. This platform employs a simplified form of map/reduce that reduces development time and accelerates performance.

ScaleOut Analytics Server enables applications to execute user-defined methods in parallel on a selected set of data and then combine the results with user-defined merge algorithms. It stores datasets as objects in a scalable, in-memory data grid, minimizing data motion and providing fast results.

Performing analysis with ScaleOut Analytics Server requires no special knowledge of parallel programming. The user writes methods to analyze data and merge results using standard Java methods, then uses queries on object properties to select objects for analysis. In addition, the software automatically deploys application code and dependent libraries on all grid servers, eliminating time-consuming setup.

Using Single Method Invocation (SMI), applications can invoke a method on a specified set of objects, supply parameters to invocation, and receive the method's result value. SMI can be used to analyze a targeted set of stored objects, or to update them without replacing their full contents in a manner similar to stored procedures in database systems.

NOTE: At this time, this product instance must be launched using the "Launch with EC2 Console" option.

Product Details

  • Version: 5.0.23.223
  • Available on AWS Marketplace Since: 11/02/2012

Resources

Usage Instructions

To administer this product, ScaleOut Software, Inc. provides a StateServer Management Console on Windows, and a command-line Python script combined with a Web Management Console for Linux. To acquire these tools on your management workstation, download and install the latest ScaleOut StateServer Remote Client installer for Linux operating systems or the ScaleOut StateServer installer for Windows systems from our Support Downloads page: http://www.scaleoutsoftware.com/support/support-downloads/ ...

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Support Details

ScaleOut Analytics Server

Standard Support & Maintenance plan included in pricing. Gold and Platinum Support available through ScaleOut Software directly. See http://www.scaleoutsoftware.com/support/options/ for more details.

http://www.scaleoutsoftware.com/support/

AWS Infrastructure

AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services. Learn more

Refund Policy

You may cancel service at any time via AWS. Refunds are not available for fees incurred.

End User License Agreement

By subscribing to this product you agree to terms and conditions outlined in the product End User License Agreement (EULA).

This product is currently unavailable.

Pricing Details

For Region

Hourly Fees

Total hourly fees will vary by instance type and EC2 region.

EC2 Instance Type Software EC2 Total
m1.small $0.15/hr $0.044/hr $0.194/hr
m1.medium $0.34/hr $0.087/hr $0.427/hr
m1.large $0.68/hr $0.175/hr $0.855/hr
m1.xlarge $1.35/hr $0.35/hr $1.70/hr
m2.xlarge $1.54/hr $0.245/hr $1.785/hr
m2.2xlarge $2.57/hr $0.49/hr $3.06/hr
m2.4xlarge $3.76/hr $0.98/hr $4.74/hr
m3.xlarge $1.35/hr $0.266/hr $1.616/hr
m3.2xlarge $2.70/hr $0.532/hr $3.232/hr
c1.medium $0.15/hr $0.13/hr $0.28/hr
c1.xlarge $0.63/hr $0.52/hr $1.15/hr

EBS Magnetic volumes

  • $0.05 per GB-month of provisioned storage
  • $0.05 per 1 million I/O requests

Assumes On-Demand EC2 pricing

Learn about instance types

Data Transfer Fees not included

Learn more about Data Transfer Fees

For lower prices you can utilize:

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