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Amazon RDS

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Amazon RDS vs Amazon S3: What are the differences?

What is Amazon RDS? Set up, operate, and scale a relational database in the cloud. Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.

What is Amazon S3? Store and retrieve any amount of data, at any time, from anywhere on the web. Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web.

Amazon RDS belongs to "SQL Database as a Service" category of the tech stack, while Amazon S3 can be primarily classified under "Cloud Storage".

Some of the features offered by Amazon RDS are:

  • Pre-configured Parameters
  • Monitoring and Metrics
  • Automatic Software Patching

On the other hand, Amazon S3 provides the following key features:

  • Write, read, and delete objects containing from 1 byte to 5 terabytes of data each. The number of objects you can store is unlimited.
  • Each object is stored in a bucket and retrieved via a unique, developer-assigned key.
  • A bucket can be stored in one of several Regions. You can choose a Region to optimize for latency, minimize costs, or address regulatory requirements. Amazon S3 is currently available in the US Standard, US West (Oregon), US West (Northern California), EU (Ireland), Asia Pacific (Singapore), Asia Pacific (Tokyo), Asia Pacific (Sydney), South America (Sao Paulo), and GovCloud (US) Regions. The US Standard Region automatically routes requests to facilities in Northern Virginia or the Pacific Northwest using network maps.

"Reliable failovers", "Automated backups" and "Backed by amazon" are the key factors why developers consider Amazon RDS; whereas "Reliable", "Scalable" and "Cheap" are the primary reasons why Amazon S3 is favored.

According to the StackShare community, Amazon S3 has a broader approval, being mentioned in 3235 company stacks & 1616 developers stacks; compared to Amazon RDS, which is listed in 1437 company stacks and 526 developer stacks.

Decisions about Amazon RDS and Amazon S3
Gabriel Pa

We offer our customer HIPAA compliant storage. After analyzing the market, we decided to go with Google Storage. The Nodejs API is ok, still not ES6 and can be very confusing to use. For each new customer, we created a different bucket so they can have individual data and not have to worry about data loss. After 1000+ customers we started seeing many problems with the creation of new buckets, with saving or retrieving a new file. Many false positive: the Promise returned ok, but in reality, it failed.

That's why we switched to S3 that just works.

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Pros of Amazon RDS
Pros of Amazon S3
  • 164
    Reliable failovers
  • 155
    Automated backups
  • 130
    Backed by amazon
  • 92
    Db snapshots
  • 87
    Multi-availability
  • 30
    Control iops, fast restore to point of time
  • 28
    Security
  • 24
    Elastic
  • 20
    Automatic software patching
  • 20
    Push-button scaling
  • 4
    Replication
  • 3
    Reliable
  • 2
    Isolation
  • 592
    Reliable
  • 493
    Scalable
  • 458
    Cheap
  • 329
    Simple & easy
  • 83
    Many sdks
  • 30
    Logical
  • 13
    Easy Setup
  • 11
    1000+ POPs
  • 11
    REST API
  • 6
    Secure
  • 4
    Easy
  • 4
    Plug and play
  • 3
    Web UI for uploading files
  • 2
    Flexible
  • 2
    Faster on response
  • 2
    GDPR ready
  • 1
    Easy integration with CloudFront
  • 1
    Easy to use
  • 1
    Plug-gable

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Cons of Amazon RDS
Cons of Amazon S3
    Be the first to leave a con
    • 7
      Permissions take some time to get right
    • 6
      Takes time/work to organize buckets & folders properly
    • 5
      Requires a credit card
    • 3
      Complex to set up

    Sign up to add or upvote consMake informed product decisions

    What is Amazon RDS?

    Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.

    What is Amazon S3?

    Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Amazon RDS?
    What companies use Amazon S3?
    See which teams inside your own company are using Amazon RDS or Amazon S3.
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    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Amazon RDS?
    What tools integrate with Amazon S3?

    Sign up to get full access to all the tool integrationsMake informed product decisions

    What are some alternatives to Amazon RDS and Amazon S3?
    Amazon Redshift
    It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
    Apache Aurora
    Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation.
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
    Oracle
    Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
    Heroku Postgres
    Heroku Postgres provides a SQL database-as-a-service that lets you focus on building your application instead of messing around with database management.
    See all alternatives