![]() S3 allows users to pay for only the storage they use and abstracts away all the complexities in scaling the storage as data volume increases. AWS Simple storage service is a completely managed object storage service that can be a replacement for such a highly scalable file system storage. In an on-premise world, this use case is served by a horizontally scalable distributed file system like Hadoop. Amazon provides options to configure different levels of security and data redundancy options according to use cases.Īnother typical use case that companies have is the requirement for scalable schema-less storage where they can virtually store anything in any kind of object format. Users can select instance types according to their performance requirements and budget. RDS supports most of the popular database engine types like MySQL, MariaDB, PostgreSQL, SQLServer, etc. Typically this use case is served by a relational database with SQL support.ĪWS relational database service is a completely managed relational database offered by Amazon based on a pay-as-you-go model to cater to relational database requirements. ![]() ![]() On one hand, they require information to be stored in a specific schema in a way that is easier to access and process information. Table of ContentsĪ typical modern organization has too many kinds of storage requirements to be solved by using a single kind of storage mechanism. This post is about the differences between two very popular completely managed services offered by Amazon – AWS S3 vs RDS based on 5 critical parameters. With the advent of more and more players and the emergence of many services that are tailor-made for specific use cases, it has become very tough to choose which service will be the best fit for your use case. Amazon S3 vs RDS: Support for Transactions.Amazon S3 vs RDS: Relational vs Object Storage.
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