Top Ten Storage Takeaways from Oracle OpenWorld 2012: Page 2 - EnterpriseStorageForum.com

Top Ten Storage Takeaways from Oracle OpenWorld 2012 - Page 2

7) Compression

Hurd and Ellison both made a big deal out of Oracle’s latest compression algorithms. Hurd said that with most of his customers growing data at around 40% per year, they are spending $8,000 to $10,000 per TB to store that mushrooming data pool. That amounts to 20% of the external IT budget on storage.

“When you have many PB to store, that gets way too expensive,” said Hurd. “Using our compression, we can shrink the capacity by ten times.”

8) EMC and Oracle are Pals


Joe Tucci, EMC’s CEO and Chairman, delivered a message during the show that EMC and Oracle were major partners, operating at the “intersection of cloud and big data.”

Both companies highlighted how EMC disk and flash expertise are harnessed as part of the Oracle cloud. In his keynote, Ellison highlighted the EMC VMax 40K, which he said was three times better (52 GB/s) than comparable IBM or Hitachi storage.

9) EMC and Oracle are Competitors

While giving EMC a place on the stage and showing how it is better than its rivals, Ellison then announced that Exadata X3 can provide 100 GB/s, about double EMC’biggest configuration of VMax – and X3 can then scale up from there considerably.

“It costs less to buy X3 than EMC 40K,” said Ellison. “One rack is way cheaper than a maxed out 40K and you get all the database benefits too.”

10) Database Backup

Ellison made a pitch for simplified backup of databases. The idea is to use the latest Oracle Pluggable Database architecture available from Oracle 12c to be able to plug many databases into one overarching system to simplify backup management.

“You can manage many databases as one and yet have point in time recovery for each individual database,” he said. “This is multi-tenancy at the database level, not the application level. It enables you to backup thousands of databases at one time as they are plugged into the overall database container. This requires one sixth as much hardware and is much more scalable.”


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