IBM is the clear choice for bringing big data to your enterprise.
Are your business users getting the insights that they need fast enough? Do you want to harness big data analytics for new insights and don’t know where to start?
Oracle Exadata claims to be optimized simultaneously for transactional databases and analytic workloads. However, these workloads require very different underlying system resources in order to run cost effectively. For big data too, Oracle Exadata ends up being their answer. Can one solution really be optimized for all these different workloads?
IBM's industrial-strength big data platform addresses the full spectrum of big data, data warehouse and analytics challenges through purpose-built offerings that are fast-to-deploy and easy-to-maintain and that integrate smoothly into your IT environment.
IBM® PureData™ Systems, the newest member of the PureSystems family, is optimized exclusively for delivering data services to today’s demanding applications with simplicity, speed & lower cost.
The PureData System for Analytics, powered by Netezza technology, is a simple data appliance for serious analytics. It simplifies and optimizes performance of data services for analytic applications, enabling very complex algorithms to run in minutes not days, delivering an orders-of-magnitude performance advantage over traditional systems quickly, simply and affordably.
IBM PureData System for Operational Analytics is an expert integrated data system that is designed and optimized specifically for the demands of an operational analytics workload. The system is a complete, out-of-the-box solution for operational analytics that provides both the simplicity of an appliance and the flexibility of a custom solution. Designed to handle 1000+ concurrent operational queries1 , it delivers mission-critical reliability, scalability and outstanding performance.
1Source: Leading US-based credit card transaction processing company. Client has publicly stated during the keynote at IBM’s Information on Demand Conference that they perform fraud detection analysis with the earlier generation of the IBM solution supporting up to 8k-10k transactions/second.