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==Use cases==
Exadata is designed to run Oracle Database workloads, such as an [[OLTP]] application running simultaneously with Analytics processing. Historically, specialized database computing platforms were designed for a particular workload, such as Data Warehousing, and poor or unusable for other workloads, such as OLTP. Exadata allows mixed workloads to share system resources fairly with resource management features allowing prioritized allocation, such as always favoring workloads servicing interactive users over reporting and batch, even if they are accessing the same data. Long running requests, characterized by Data Warehouses, reports, batch jobs and Analytics, are reputed to run many times faster compared to a conventional, non-Exadata database server.<ref name=":0" /><ref>{{Cite web|url=https://www.oracle.com/search/customers?Ntt=exadata&Dy=1&Nty=1&Ntk=S1|title=Exadata Customer Success Stories|access-date=July 16, 2018}}</ref><ref>{{Cite web|url=https://www.gartner.com/reviews/market/data-warehouse-solutions/vendor/oracle/product/oracle-exadata-database-machine|title=Gartner Peer Insights: Oracle Exadata Database Machine|last=Various|website=Gartner.com|access-date=August 8, 2018}}</ref>
== Release History ==
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