HP Oracle Exadata Storage Server Data Sheet

Short Description
The HP Oracle Exadata Storage Server is a storage product highly optimized for use with the Oracle database and is the storage building block of the HP Oracle Database Machine. It uses a massively parallel architecture to dramatically speed up Oracle data warehouses by offloading data-intensive query processing from Oracle Database Servers and doing the processing closer to the data. Simple to deploy and manage, the Oracle Exadata Storage Server provides unlimited I/O scalability and mission-critical reliability in addition to extremely fast query processing for your large data warehouse.

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Content
The HP Oracle Exadata Storage Server is a fast, reliable, high capacity, industry standard storage building block based on the HP ProLiant DL180 G5 server. Each server comes preconfigured with two Intel 2.66 Ghz quad-core processors, twelve 3.5-inch disks, 8 GB memory, and dual InfiniBand ports, and redundant power supplies.
The Oracle Exadata Storage Server Software enables the Exadata Storage Server to quickly process database queries and only return the relevant rows and columns to the database server. By pushing SQL processing to the Oracle Exadata Storage Server all the disks can operate in parallel, reducing database server CPU consumption while consuming much less bandwidth to move data between storage and database servers. The Oracle Exadata Storage Server returns a query result set rather than entire tables, eliminates network bottlenecks, and frees up database server resources. This means business users often see a performance increase of 10x, when analyzing data stored in their data warehouses.
Customers have a choice of Oracle Exadata Storage Servers. The first is based on 450 GB Serial Attached SCSI (SAS) drives. This provides up to 1.5 TB of uncompressed user data capacity, and up to 1 GB/second of data bandwidth. The second server is based on 1 TB Serial Advanced Technology Attachment (SATA) drives and provides up to 3.3 TB of uncompressed user data capacity, and 750 MB/second data bandwidth. When data is stored in compressed format, the amount of user data and the amount of data bandwidth delivered by each cell often increases 2 to 3 times. User data capacity is computed after mirroring all the disks space, and after space is set aside for database structures like logs, undo, and temp space. Actual user data varies by application.
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