Oracle releases Exadata X4 with optimizations for data warehousing

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”Oracle Exadata Database Machine is the best platform on which to run the Oracle Database and the X4 release extends that value proposition,” said Oracle President Mark Hurd. “As private database clouds grow in popularity, the strengths of Oracle Exadata around performance, availability and quality of service set it apart from all alternatives.”

We have just announced the release of the fifth-generation of our flagship database machine: Oracle Exadata Database Machine X4. This latest release introduces new hardware and software to accelerate performance, increase capacity, and improve efficiency and quality-of-service for enterprise data warehouse deployments.

Performance of all data warehousing workloads is accelerated by new flash caching algorithms that focus on table and partition scan workloads that are common in Data Warehouses. Tables that are larger than flash are now automatically partially cached in flash and read concurrently from both flash and disk to speed throughput.

Other key highlights are:

1) Improved workload management
Exadata X4-2 includes new workload management features that will improve the management of data warehouse workloads. Exadata now has the unique ability to transparently prioritize requests as they flow from database servers, through network adapters and network switches, to storage, and back.

We are using a new generation of InfiniBand network protocols to ensure that network-intensive workloads such as reporting, batch and backups do not delay response-time sensitive interactive workloads. Which is great news for IT teams that have to define and manage service level agreements.

2) Bigger flash cache for even faster performance
We have increased the amount of physical flash within a full rack to 44 TB per full rack. However, the capacity of the logical flash cache has increased by 100% to 88 TB per full rack.

3) Hardware driven compression/decompression

A feature that is unique to Exadata is the Flash Cache Compression. This transparently compresses database data into flash using hardware acceleration to compress and decompress data with zero performance overhead.

4) In-memory processing
For in-memory workloads we increased maximum memory capacity by 100% to 4TB in full rack (using memory expansion kits) which means more workloads will be able to run in-memory with extremely fast response times.

5) Increased support for big data
To support big data projects we increased the capacity of the high performance disks to over 200 TB per full rack and for high capacity disks the storage capacity is now 672 TB per full rack. Once you factor in Oracle Exadata's compression technologies then a full rack is capable of storing petabytes of user data. 

The full press release is here: http://www.oracle.com/us/corporate/press/2079925

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The data warehouse insider is written by the Oracle product management team and sheds lights on all thing data warehousing and big data.

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