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Ready-to-use data delivered to Amazon S3, Amazon Redshift, and Snowflake at lightning speeds with BryteFlow data management tool. This automated tool is completely self-service, low on maintenance and requires no coding. It can integrate data from any API and legacy databases like SAP, Oracle, SQL Server, and MSQL.
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Benefits of Running SQL Server on Amazon S3 Before going to the benefits of running Microsoft SQL Server on Amazon S3, here is a quick look at the fundamentals. Microsoft SQL Server SQL Server is both a GUI and command based software. It is platform dependent and implemented from the specification of the Relational Database Management System. The SQL (SEQUEL) language is case sensitive and an IBM product. The main advantage of the SQL Server is that it supports applications on a single machine, either across the web or a single machine. The software can be used to create and maintain databases, analyze data with Service Analysis Services, and generate reports through Server Reporting Services. Given these multiple uses, why would organizations want to run or transfer data from SQL Server to S3?
Amazon S3 Amazon Simple Storage Service (Amazon S3 or simply S3) is an object storage service. It provides unmatched scalability, data availability, security, and performance. Hence organizations regardless of the scale can store data for a range of applications including websites, mobile applications, archives, enterprise applications, and backup and restoration of data.
Amazon S3 also allows users several easy-to-use management features to organize data and create access controls to meet specific business and compliance requirements. Most critically, S3 offers 99.999999999 (11 9s) of data durability and almost unlimited data storage capabilities.
Benefits of Loading Data from SQL Server to S3 Organizations around the world are choosing to run SQL Server on Amazon S3. Here are some of the reasons why. Range of cost-effective storage options – Amazon S3 supports different access levels at matching rates without any drop in performance. By using S3 Storage Class Analysis, it is possible to discover data that can be moved to a lower-cost storage level based on patterns of access. The S3 Lifecycle policy is used to execute the transfer. Unmatched scalability and durability – Businesses can scale up and down their storage resources depending on fluctuating demands without additional investments or resource procurement cycles. As stated before, Amazon S3 is designed optimally for data durability as it auto-creates and stores copies of all S3 objects spread over multiple systems.
Easy management of data and access controls – Another reason for replicating data from SQL Server to S3is the latter’s robust capabilities in the areas of management of access, cost, replication, and protection to data. S3 Replication feature manages data replication within the region or to other regions. The Batch Operations of S3 help manage large-scale modifications across billions of objects. Highly supported cloud storage service – Amazon S3 data storage and protection capabilities are in partnership with AWS Partner Network which is the biggest in the community of technology and consulting cloud service providers. Once data is stored in S3, it is secured from unauthorized access through encryption features and other management access tools. Store data in S3 and avail a wide range of advantages!