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. Finding trends such as security threats or new business opportunities from this data requires rethinking of not only the application stack, but also the compute and storage 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.

The state-of-the-art Nutanix hyperconverged architecture with web-scale technologies delivers performance equivalent to bare metal deployments from your virtualized big data installations. Applications can linearly scale as your needs grow, enabling a pay-as-you-grow model for scaling without overprovisioning compute or storage.

THE RESULT

Predictable performance, cloud-like infrastructure consumption, robust security, and seamless application mobility for a broad range of enterprise applications.

- Fast time to value: Deploy in just a few hours minimal upfront planning or configuration

- Fast, efficient performance: Deliver up to 3x performance in only 25% of the space needed for 3-tier solutions, accommodating 100,000s of events/second

- Predictable scale: Start small and grow one node at a time, linearly scaling to more than 1TB/day ingest rates

- Simple operations: Streamline infrastructure and storage management tasks and leverage standard virtual machine management

Hyundai, St. Luke's, Yahoo (Japan)