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WireCaceh Appliances
A WireCache appliance running in a customer data center

WireCache DA 3000 Transparent Database Accelerator Appliance

The WireCache DA 3000 Transparent Database Accelerator Appliance can speed applications by 2 to 12 times, and at the same time reduce database CPU usage by 50% or more. Offered as a turnkey appliance, the DA 3000 offers a cost-effective and completely transparent alternative to an expensive and intrusive RDBMS software and hardware upgrade.

Use WireCache to:

  • Deliver reporting access to operational data without impact on operational performance
  • Dramatically improve application response times
  • Shorten database batch extracts to fit into available time windows
  • Scale to twice the number of users on the same database platform
  • Run more applications against the same database
  • Reduce database CPU usage and so reduce database license and support costs
  • Reduce hardware costs and data center footprint

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WireCache SQL Analyzer

The WireCache SQL Analyzer is a multi-step tool that provides deep insight into the characteristics of the SQL interaction between applications and databases.

The first step is a passive and unintrusive collection of Ethernet traffic between applications and the database during a significant business period. The traffic can be collected via a mirrored port by either a WireCache Appliance, or a local computer. The captured traffic is parsed into a report that analyzes every SQL interaction during the period. It shows every SQL statement that executed and aggregate information about the characteristics of all instances of that particular query. This report typically provides fresh insight into database behavior that is otherwise difficult to obtain. By cross-referencing this report with the database schema, the WireCache tool is able to create a cache plan and estimate what fraction of the database load could be taken up by a WireCache Appliance. WireCache engineers can use that information to size an appropriate WireCache Appliance for the task and provide an estimate of application acceleration.

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