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Nutanix

The enterprise cloud company making datacenter infrastructure invisible
United States
2009
Public
< $10m
1,001 - 10,000
Nutanix makes infrastructure invisible, elevating IT to focus on the applications and services that power their business. The Nutanix enterprise cloud platform leverages web-scale engineering and consumer-grade design to natively converge compute, virtualization and storage into a resilient, software-defined solution with rich machine intelligence.
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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
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Hyundai, St. Luke's, Yahoo (Japan)
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Hardware
Software
Software that ingests data and visualises it to generate insights to answer specific questions
Platforms that facilitate and allow application developments for specific use cases and/or client requirements.
Software that focus on securing devices, machines, and communications between them.
Providing the infrastructure to store and manage data.
Services
Bringing together software, hardware, middleware, and infrastructure components to build an end-to-end solution based on specific client requirements.
Developing custom software for specific uses and operating environments/needs.
Number of News Items57
Pensando Emerges from Stealth to Democratize Cloud Architectures for Any Enterprise, Public Cloud, or Service Provider
PR Newswire - 16 Oct, 2019
Referenced Companies: Hewlett Packard Enterprise, Amazon Web Services, Cisco, NetApp, Alphabet Nest
Silicon Labs Appoints Megan Lueders as Chief Marketing Officer
MarTech Series - 09 Oct, 2019
Referenced Companies: Silicon Labs, Google, Verizon, Amazon Robotics, Nutanix
Keywords: VISION
Headcount: Firings, Hirings, and Retirings — September 2019
SDxCentral - 03 Oct, 2019
Referenced Companies: Dell Technologies, Intel, Cisco, Huawei, Juniper Networks
Number of Software1
Acropolis
Acropolis
Nutanix Acropolis is a powerful scale-out data fabric for storage, compute and virtualization. Acropolis combines feature-rich software-defined storage with built-in virtualization in a turnkey hyperconverged infrastructure solution that can run any application at any scale.
Number of Podcasts1
EP 051 – Hyper converged infrastructure for scale and simplicity in IIoT, and other success factors – an interview with Satyam Vaghani of Nutanix
Tuesday, Jul 16, 2019

In this episode of the IIoT Spotlight Podcast, we discuss the adoption of hyper converged infrastructure to enable scale and simplicity in IIoT applications, how decisions migrate from IT to project managers and business decision makers, and the factors behind successful IIoT deployments.

Why must the OT understand the IT?

How to design an IoT application with strong value propositions for users?

What are the technologies on the rise that will drive progress of solutions available today and future potential solutions?

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