Oracle

Run-Massive-Oracle-Databases-in-Memory

Accelerate Oracle 11g with Storage at the Speed of Memory

Whether your I/O-intensive Oracle databases support data warehouses, online transaction processing (OLTP) systems or real-time analytics, Violin flash Memory Arrays deliver unbeatable performance that scales to hundreds of terabytes of data enabling you to run multiple, massive databases completely at the speed of memory.
oracle-database

 

Maximize Performance and Throughput at Massive Scale

  • Maximize ROI with faster transactions and increased end-user productivity
  • Exceed SLAs with storage that provides low-latency, high throughput
  • Achieve proactive and predictive competitive advantage with real-time data access for real-time analytics

 

Consolidate Workloads Without Sacrificing

  • Consolidate mixed workloads without worrying about I/O randomization
  • Maximize throughput, minimize latency and support rapid, exponential data growth
  • Reduce complexity as systems become more manageable
  • Save up to 80% in power, space, cooling savings compared to traditional storage

 

Virtualize Tier-1 Oracle Workloads for Greater Agility

  • Enable virtualization of production databases with no I/O performance penalty
  • Increase virtual machine density and support heavily mixed workloads
  • Easily migrate virtual machines to limit the impact of planned maintenance
  • Eliminate performance bottlenecks and minimize latency caused by virtualization

 

Certified for Use With Oracle VM

Violin Memory solutions are certified by Oracle for use with Oracle VM, enabling customers that deploy Oracle Linux or Oracle VM on Violin solutions to benefit from streamlined joint support.

Related Solutions


 

RELATED RESOURCES


Violin Memory Home Page
Oracle Solution Brief
6000 Memory Array
6000 Series Datasheet
Best Practices: Oracle RAC on Violin
Subscribe to Newsletter


❝ In different environments, without any tuning, we noticed improvements ranging from 300 percent to 800 percent for query performance and 200 percent to 400 percent for batch type processing. And this was all done without having to invest in tuning, code rewrites, expensive consultants, or new implementations. ❞

~CIO, Major MVNO Telecom