Big Data
High performance for virtualized big data installations
Predictable performance, linear scaling and high availability
Big data applications like Splunk and Hadoop are pushing the performance and scalability limits of traditional three-tier infrastructures, requiring good sequential and random performance across large datasets and multiple nodes. Nutanix delivers performance equivalent to bare metal deployments from your virtualized big data installations.
Make Hadoop an Application, Not an Adventure
Nutanix is the only infrastructure vendor using a web-scale architecture with intelligent data locality—core to Hadoop. Learn how virtualizing Hadoop using Nutanix Acropolis Hypervisor can simplify deployments.
Simplified Operations
Streamline infrastructure and storage management tasks, and leverage standard virtual machine management.
Easy Management
Simple to use Prism delivers single pane management for the entire server and storage infrastructure.
Efficient Use of Infrastructure
Hadoop and Splunk deployments can coexist with enterprise applications in the same environment using sandbox workloads.
Fast Time-to-value
Nutanix and big data applications like Splunk and Hadoop can be up and running in just a few hours.
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.
Quick Search and Index
Delivers 2-3x greater events/sec for each appliance than competing solutions for mission-critical applications.
Linear Scaling
Start small and scale up one node at a time with access to over 1TB of data ingest/day.
Reduced Footprint
Hyperscale architecture and optimizations such as deduplication and compression reduce hardware footprints by up to 4x.
Resources
This video explains the benefits of running Splunk on the Nutanix Virtual Computing Platform.
This reference architecture makes recommendations for the design, optimization and scaling of Hado...
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Big Data Solutions
Speed performance of your big data applications for Splunk, Hadoop and mongoDB.