Nutanix Big Data and Analytics.

Run Big Data applications: Splunk, Cloudera, NoSQL, and Hadoop.

A simple way to manage Big Data

Don't compromise speed or security. Instead, give your Big Data efforts the velocity and simplicity of the public cloud while maintaining the security and control of the private cloud.

3 main advantages of Big Data management with Nutanix

1. Get up and running fast

In only a few hours, you can get Big Data apps up and running on Nutanix.

2. Stay extremely flexible

Bring cloud agility to your infrastructure. For instance, pilot initiatives, expand when the time is right, and redeploy assets as requirements change.

3. Obtain relevant insights

Streamline administration processes, use native virtualization, and enable self-service to simplify operations.

Why now is a good time to rethink your Big Data strategy

Splunk, Cloudera, MongoDB, elastic, and other big data applications are pushing the performance and scalability limitations of legacy infrastructures. At scale, bare metal deployments become a management headache.

With high performance, virtualized deployments, built-in automation, and one-click operations, Nutanix substantially simplifies infrastructure administration, allowing data scientists, security teams, and line of business to focus on generating value from data.

There's really no reason not to simplify Big Data management

Make management easy: Prism provides a single administration interface for the whole computing, storage, networking, and virtualization infrastructure, making it simple to use.
Deliver high performance: At 100,000 events per second, deliver up to 3x the performance in only 25% of the area required for 3-tier systems.
Reduce infrastructure footprint: Integrate a variety of Big Data deployments and other business applications into a single platform with a reduced footprint, power, and cooling requirements.
Simplify operations with one click: Reduce complicated IT processes, such as non-disruptive updates, to a single click, freeing teams to focus on higher-value initiatives.
Remain accessible at all times: Built-in data protection, disaster recovery, self-healing, and redundancy features keep your Big Data workloads safe and operational.
Scale at a rapid speed: As data sources grow, you can easily add extra capacity. Grow a node at a time with the appropriate storage and computing mix for each app.