Align your unstructured data with the best, cloud deployment model based on a data first approach
Dell Technologies provides a wide range of choices for private, multi-cloud and native cloud storage services for unstructured data. Our cloud services extend the capabilities of our #1 Distributed File System and Object Storage1 – Dell EMC PowerScale Scale-Out NAS and Dell EMC ECS – such as performance at-scale, operational efficiency and management simplicity. We enable enterprises to deploy the most suitable offering with cloud economics. These solutions range from directly connecting to cloud for multi-cloud agility and zero data gravity to a fully integrated, native cloud experience.
Maximize business outcomes with our file and object cloud solutions
Cloud storage solutions for unstructured data include native cloud services and services directly connected to the cloud.
Multi-cloud deployment models enable users to connect their file or object storage to Dell EMC PowerScale or Dell EMC ECS, consumed as-a-service, directly to public clouds including AWS, Microsoft Azure and Google Cloud through a high-speed, low latency connection. Thanks to the neutral S3 variant on ECS, your applications can run in any private or public cloud without any cloud lock-in. This service provides multi-cloud agility with zero data gravity as data stays independent of the cloud.
PowerScale for Google Cloud is a fully integrated native cloud file service for Google Cloud users, powered by Dell EMC PowerScale, the industry’s #1 scale-out NAS storage system1. This turnkey managed service combines the performance, efficiency and security of PowerScale OneFS with the flexibility and cost economics of Google Cloud.
Together, PowerScale for Google Cloud enables enterprises to run the most demanding file-based workloads, which require extreme performance and throughput. From big data, artificial intelligence and machine learning to genome sequencing, electronic design automation and media and entertainment workloads, take advantage of flexible cloud consumption models and cloud economics.
We combined PowerScale, powered by PowerScale OneFS with the Microsoft Azure public cloud, which offers enterprise-grade compute for operational flexibility. This cloud service provides high bandwidth and low latency connection from PowerScale to Azure using Azure ExpressRoute Local, which is required to effectively run compute, intensive file workloads in industries like life sciences and media and entertainment. It also eliminates outbound data traffic costs for data written to PowerScale from within Azure.
This technical review documents ESG’s testing audit, which demonstrates the high-performance capabilities of Dell Technologies Cloud PowerScale for Google Cloud. Our solution enables large capacity file applications to benefit from the flexibility and cost efficiency of Google Cloud while delivering high performance.
In this video our Storage Cloud CTO answers 4 tough questions from an ESG analyst about our cloud solutions.
Directly connect to public clouds of your choice with the best-of-breed cloud storage.
Learn how scalable, resilient cloud-attached storage with agile multi-cloud access is ideal for securely moving or deploying demanding cloud applications.
Use Dell Technologies Cloud Storage to efficiently run compute intensive file workloads in Microsoft Azure.
Read this eBook about the advantages of a multi-cloud strategy and our offerings that support it.
Run your video editing workloads with PowerScale for Google Cloud with the same experience, efficiency and performance as on-premises.
Deliver the capacity, performance and high concurrency to eliminate the I/O storage bottlenecks for AI with PowerScale for Google Cloud.
PowerScale for Google Cloud provides the ability to separate and tier HDFS storage from the Hadoop compute infrastructure. For Hadoop analytics, PowerScale for Google Cloud minimizes bottle necks, rapidly serves Big Data, and optimizes performance.
1 Gartner, Inc. “Magic Quadrant for Distributed File Systems and Object Storage” by Julia Palmer, Raj Bala, Chandra Mukhyala, September 30, 2019