Azure Blob Storage is an extremely scalable and secure object storage for cloudnative workloads, archives, data lakes, high performance computing and machine learning.
Azure Blob Storage enables users to store and retrieve unstructured data at scale
Azure Blob Storage helps organizations create data lakes for their analytics needs. In doing so, Azure Blob Storage provides storage to build powerful cloudnative and mobile apps. With Azure Blob Storage, organizations can optimize costs with tiered storage for long-term data retention and flexible scaling for high-performance computing and machine learning workloads.
Azure Blob Storage offers 99.999999999999 percent (16 nines) persistence including georeplication and flexible, on-demand scaling
Azure Blob Storage authentication uses Azure Active Directory and role-based access control (RBAC) plus encryption of data at rest and advanced threat protection
With Azure Blob Storage, file space and multiprotocol access support analytics workloads to gain deep insights from data
Azure Blob Storage provides end-to-end lifecycle management, policy-based access control, and immutable storage (WORM)
Blob Storage is designed to meet the scaling, security and availability needs of developers building mobile, web and cloudnative applications. Azure Blob Storage is the perfect foundational building block for serverless architectures, such as Azure Functions. Azure Blob Storage supports the most popular development frameworks, including Java, .NET, Python, and Node.js, and is the only cloud storage service to offer a premium-class SSD-based object storage tier for low-latency and interactive scenarios.
Azure Blob Storage enables organizations to store petabytes of data cost-effectively.
With multiple tiers of storage and automated lifecycle management, organizations can store large amounts of infrequently accessed data in a cost-effective manner. Replace your tape archives with blob storage, and don’t worry about migrating between hardware generations.
Build high-performance data lakes with Azure Data Lake Storage
Azure Data Lake Storage is a highly scalable and cost-effective data lake solution for Big Data analytics. Azure Data Lake storage provides a powerful file system combined with immense scalability and profitability. This enables organizations to gain insightful insights in a short period of time. Data Lake Storage extends the capabilities of Azure Blob Storage and is optimized for analytics workloads.
Scale up centrally for HPC or scale up horizontally for billions of IoT devices with Azure Blob Storage
Blob Storage meets the demanding high-throughput requirements of HPC applications while providing the scalability needed to support the storage of billions of data points coming in from IoT data sources.
areto’s developed reference architecture offers many advantages.
The use of areto’s reference architecture provides customers with architectural best practices for the development and operation of reliable, secure, efficient and cost-effective systems in the cloud. Areto’s architectural solutions are consistently measured against Microsoft best practices in order to deliver the highest benefit to customers.
The areto reference architecture is based on five pillars: operational excellence, safety, reliability, performance efficiency, cost optimization.
Operational excellence
optimal design of operation and monitoring of the systems as well as continuous improvement of supporting processes and procedures
Security
protection of information, systems, assets, risk assessments and risk mitigation strategies
Costen optimization
maximizing ROI through the continuous process of improving the system throughout its lifecycle
Reliability
ensure security, disaster recovery, business continuity as data is mirrored in multiple redundant locations.
Performance efficiency
efficient use of computer resources, scalability to meet short-term requirement peaks, sustainability
Gartner, Magic Quadrant for Cloud Infrastructure & Platform Services, Raj Bala, Bob Gill, Dennis Smith, Kevin Ji, David Wright, 27 July 2021. Gartner and Magic Quadrant are registered trademarks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from AWS. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
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