Apache Hadoop has long been known as a batch-oriented platform for large-scale analytics. It continues to deliver value for data-driven companies that need to solve big data challenges.
In this paper, Carl Olofson of IDC discusses how MapR Technologies is able to deliver real-time capabilities for its customers who use Hadoop beyond the traditional use cases. By taking advantage of the MapR Distribution including Hadoop and MapR-DB, the integrated NoSQL database, customers are able to deploy multi-workload systems in a single platform.
Download this paper to learn:
Why businesses are looking to Hadoop as the foundation for a single decision data platform.
Why Xactly Corp., a cloud-based incentive compensation analytics company, uses MapR instead of traditional technologies to drive their SaaS application.
Why the Cisco Security Business Group uses MapR to help protect their customers’ networks.