Home
Application and Data
Data Stores
SQL Database as a Service

Amazon RDSย vsย Dimensigon

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

Amazon RDS
16K
10.8K
+ 1
761
Dimensigon
1
4
+ 1
0
Add tool

Amazon RDS vs Dimensigon: What are the differences?

Developers describe Amazon RDS as "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. On the other hand, Dimensigon is detailed as "Online service to deploy production-ready ELASTIC environments". It is an online service to deploy production-ready ELASTIC environments with the comfort of an online shop. Targeted for DB Developers and Large companies to embed our automation for provisioning, 'DM' is the underlying self-develop technology for distributed managed to coordinate complex orchestrations.

Amazon RDS and Dimensigon belong to "SQL Database as a Service" category of the tech stack.

Some of the features offered by Amazon RDS are:

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

On the other hand, Dimensigon provides the following key features:

  • No Locked-In
  • Check-out at any time
  • 100% Transparency
Manage your open source components, licenses, and vulnerabilities
Learn More
Pros of Amazon RDS
Pros of Dimensigon
  • 165
    Reliable failovers
  • 156
    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
    Push-button scaling
  • 20
    Automatic software patching
  • 4
    Replication
  • 3
    Reliable
  • 2
    Isolation
    Be the first to leave a pro

    Sign up to add or upvote prosMake informed product decisions

    No Stats

    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 Dimensigon?

    It is an online service to deploy production-ready ELASTIC environments with the comfort of an online shop. Targeted for DB Developers and Large companies to embed our automation for provisioning, 'DM' is the underlying self-develop technology for distributed managed to coordinate complex orchestrations.

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

    What companies use Amazon RDS?
    What companies use Dimensigon?
    Manage your open source components, licenses, and vulnerabilities
    Learn More

    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Amazon RDS?
    What tools integrate with Dimensigon?

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

    Blog Posts

    Redux: Scaling LaunchDarkly From 4 to 200 Billion Feature Flag...
    Mar 12 2019 at 3:11PM

    LaunchDarkly

    JavaScriptReactPostgreSQL+23
    11
    6929
    How Raygun Processes Millions of Error Events Per Second
    May 17 2018 at 1:38AM

    Raygun

    GitGitHubSlack+22
    13
    8879
    How Opsee Chose A Container Orchestration Platform
    May 27 2016 at 5:01AM

    Opsee Co

    GitHubDockerAmazon EC2+23
    12
    6687
    Scaling Zapier to Automate Billions of Tasks
    Feb 4 2016 at 6:44PM

    Zapier

    JavaScriptGitHubPython+42
    53
    22327
    Scaling Clearbit to 2M API Requests Per Day
    Sep 4 2015 at 8:23AM

    Clearbit

    DockerSlackAmazon EC2+17
    18
    6072
    How The World's Largest Design Marketplace Builds and Ships Co...
    May 1 2015 at 12:32PM

    99designs

    DockerReactPHP+35
    13
    1829
    How Gusto Processes Billions Of Dollars In Annual Payroll
    Apr 17 2015 at 2:44AM

    Gusto

    JavaScriptGitGitHub+29
    6
    3174
    What are some alternatives to Amazon RDS and Dimensigon?
    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

    Related Comparisons

    Amazon Aurora vs Amazon RDSAmazon RDS vs Google Cloud SQLAmazon RDS vs ClearDB vs TempoDBAmazon RDS vs ClearDB vs Google Cloud SQLAmazon RDS vs DigitalOcean Managed Databases vs GenieDB

    Trending Comparisons

    Django vs Laravel vs Node.jsBootstrap vs Foundation vs Material-UINode.js vs Spring BootFlyway vs LiquibaseAWS CodeCommit vs Bitbucket vs GitHub

    Top Comparisons

    HipChat vs Mattermost vs SlackBitbucket vs GitHub vs GitLabBootstrap vs MaterializePostman vs Swagger UI