From the post:
MapR Technologies, Inc., the provider of the open, enterprise-grade distribution for Apache Hadoop, today announced the immediate availability of its MapR Distribution for Hadoop as an option within the Amazon Elastic MapReduce service. Customers can now provision dynamically scalable MapR clusters while taking advantage of the flexibility, agility and massive scalability of Amazon Web Services (AWS). In addition, AWS has made its own Hadoop enhancements available to MapR customers, allowing them to seamlessly use MapR with other AWS offerings such as Amazon Simple Storage Service (Amazon S3), Amazon DynamoDB and Amazon CloudWatch.
“We’re excited to welcome MapR’s feature-rich distribution as an option for customers running Hadoop in the cloud,” said Peter Sirota, general manager of Amazon Elastic MapReduce, AWS. “MapR’s innovative high availability data protection and performance features combined with Amazon EMR’s managed Hadoop environment and seamless integration with other AWS services provides customers a powerful tool for generating insights from their data.”
Customers can provision MapR clusters on-demand and automatically terminate them after finishing data processing, reducing costs as they only pay for the resources they consume. Customers can augment their existing on-premise deployments with AWS-based clusters to improve disaster recovery and access additional compute resources as required.
“For many customers there is no longer a compelling business case for deploying an on-premise Hadoop cluster given the secure, flexible and highly cost effective platform for running MapR that AWS provides,” said John Schroeder, CEO and co-founder, MapR Technologies. “The combination of AWS infrastructure and MapR’s technology, support and management tools enables organizations to potentially lower their costs while increasing the flexibility of their data intensive applications.”
Are you doing topic maps in the cloud yet?
A rep from one of the “big iron” companies was telling me how much more reliable owning your own hardware with their software than the cloud.
True, but that has the same answer as the question: Who needs the capacity to process petabytes of data in real time?
If the truth were told, there are a few companies, organizations that could benefit from that capability.
But the rest of us don’t have that much data or the talent to process it if we did.
Over the summer I am going to try the cloud out, both generally and for topic maps.