Ingram Micro Saudi Arabia

HPE Alletra

Seamlessly power your data – from edge to cloud – with a cloud experience for every app. Named a 2021 CRN Tech Innovator.


HPE Alletra is a cloud native data infrastructure platform that delivers a paradigm shift for storage. It brings the cloud experience to every workload without compromise, eliminating the complexity of traditional storage. It puts your storage on autopilot with AlOps for infrastructure—transforming the support experience and ensuring that your apps are always on and always fast. And it enables you to stop managing infrastructure and start simply accessing and utilizing it as a service and on demand.


Get the agility of cloud – everywhere

Forget maintaining, upgrading and tuning on-prem, edge and cloud storage in isolated, complex silos. HPE Alletra delivers a common experience across clouds – as a service and with limitless scale – through cloud-native management of your entire environment from a single, SaaS-based console.

Run any app – without compromise

Meet any SLA, from core mission-critical and business-critical apps to remote edge needs and test/dev and analytics in the cloud. HPE Alletra delivers workload-optimised systems that deliver flexibility without complexity. Enjoy predictable high performance and non-disruptive scale, all backed by 100% availability guarantees for your mission-critical workloads.

Free your data across hybrid cloud

Unleash the true potential of hybrid cloud with a unified data platform from edge to cloud that delivers consistent data services, unified management, seamless data mobility and effortless backup and recovery. Maximise your innovation with performance, flexibility and scale for every app and mobilise data, wherever it lives, with the best of every cloud.

Engineered to make itself invisible

Get infrastructure that’s self-managing and self-improving – leaving you nothing to do but focus on innovation. You can predict and prevent disruptions across storage, services and virtual machines, resulting in savings of over 1.5 million hours of lost productivity due to downtime. Pinpoint issues between storage and VMs and underutilised virtual resources without effort.

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