Oracle is the industry's leading data warehousing platform for delivering business insights across a wide range of activities, from optimising customer experiences to increasing operational efficiency. Oracle's high-performance and optimised solutions provide in-database advanced analytics, enhanced datasets from big data and industry-specific insights to drive increased innovation, profitability and competitive advantage.
Oracle Database is the industry foundation for high performance scalable, optimised data warehousing. Oracle Exadata Database Machine is a complete, optimised, hardware and software solution that delivers extreme performance and database consolidation for data warehousing.
The Oracle Exadata Database Machine combined with Oracle Database In-Memory option are the perfect combination for delivering extreme performance and high availability for data warehousing and reporting systems. Built with scale-out hardware and software that can load data into RAM, PCI-based flash or disk, Oracle delivers the most efficient and industrial-strength offering for instant insights.
Oracle Advanced Analytics, a combination of Oracle R Enterprise and Oracle Data Mining, delivers a comprehensive platform for real-time analytic applications that deliver insight into key business subjects such as churn prediction, product recommendations and fraud alerting.
A family of standards-based data models designed and optimised to combine market-leading industry application knowledge with the power of Oracle’s Data Warehouse and Business Intelligence solutions. With prebuilt data mining, online analytical processing (OLAP) and dimensional models, the Oracle industry data models can be used in any application environment and are easily extendable.
Oracle combines optimised hardware with a comprehensive software stack to deliver a complete, easy-to-deploy solution for acquiring, organising and analysing big data. The Oracle Big Data Appliance integrates seamlessly with Oracle Exadata and Oracle Database to help enterprises derive maximum value from their big data strategies.