Big Data

Deliver high performance in only 25% of the space needed for 3-tier solutions, accommodating thousands of events/second

Big Data

From customer interactions to web tracking to security logging, enterprises generate and have access to a vast amount of data per day. Turning that data into actionable insights is a challenge for traditional databases and infrastructure.

Big data applications, including Splunk and Hadoop, enable enterprises to quickly gather insights and opportunities from their data. Workloads such as these are pushing the performance and scalability limits of traditional three-tier infrastructures, requiring good sequential and random performance across large datasets and multiple nodes.

Some of the benefits ...

Consolidation: Eliminate under-utilized application silos and consolidate multiple workloads on to a single platform


Performance: Great application performance for both transactional and analytical workloads.


Monitoring: Simplify performance troubleshooting, resolving problems in minutes to hours versus days and weeks


Availability: Meet service level agreements by keeping key applications protected and running with automatic migration, backups, disaster & recovery and more


Scale: Eliminate forklift upgrades and disruptive data migration and linearly scale






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