Amazon Speeds Analytics With High-Memory Compute Instances
Amazon Web Services fills out its portfolio of workload-specific compute instances on the Elastic Compute Cloud.
7 Cheap Cloud Storage Options
(click image for larger view and for slideshow)
Amazon Web Services (AWS) on Tuesday announced the availability of high-memory cluster instances on the Amazon Elastic Compute Cloud (EC2). The workload-specific cloud services are aimed at memory-intensive uses such as in-memory analytics and databases, caching and scientific computing.
"Real-time applications used by healthcare providers, social networking companies and advertising technology providers require large amounts of memory to maintain high-performance," said Peter DeSantis, VP of compute services at AWS.
Amazon cited customers SAP and Engine Yard as users of the high-memory cluster instances. Engine Yard said it will use the instances to support business analytics, advertising and social-media-analysis applications that its customers are building in the cloud. SAP offers its Hana in-memory database as a service on EC2, and the new instances are a perfect fit, according to Sapan Panigrahi, VP of Hana Cloud.
"The new High Memory Cluster instances provide sizeable CPU cores and storage to run even larger workloads," Panigrahi said in a statement.
[Editor's note: Adding pricing detail, on-demand rates for High-Memory instances range from 45 cents per hour for "extra large" to $2.28 per hour for "quadruple extra large" instances. High-memory cluster instances are $3.50 to $3.83 per hour.]
The new service is the third in a growing portfolio of workload-specific instances introduced over the last six months. AWS previously released high-storage instances and high I/O instances.
The high-storage instances are geared to customers who use Hadoop, high-scale data warehouses and parallel file systems to process and analyze large data sets in the AWS cloud. High I/O instances are aimed at high-performance clustered databases, particularly NoSQL databases like Cassandra and MongoDB, and they're typically used for media streaming, gaming, mobile apps and social networking.
High-memory instances are available on Linux or Windows and will run on two Intel Xeon E5-2670 processors, two 120-GB solid state drives of instance storage, high bandwidth networking, and 244 GB of RAM. The services can be launched and managed using the AWS Management Console, the AWS and Amazon EC2 Command Line Interfaces, AWS SDKs and third- party libraries.
The Agile ArchiveWhen it comes to managing data, donít look at backup and archiving systems as burdens and cost centers. A well-designed archive can enhance data protection and restores, ease search and e-discovery efforts, and save money by intelligently moving data from expensive primary storage systems.
2014 Analytics, BI, and Information Management SurveyITís tried for years to simplify data analytics and business intelligence efforts. Have visual analysis tools and Hadoop and NoSQL databases helped? Respondents to our 2014 InformationWeek Analytics, Business Intelligence, and Information Management Survey have a mixed outlook.
InformationWeek Tech Digest, Nov. 10, 2014Just 30% of respondents to our new survey say their companies are very or extremely effective at identifying critical data and analyzing it to make decisions, down from 42% in 2013. What gives?