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Amazon RDS

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Amazon RDS vs Liquibase: What are the differences?

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; Liquibase: Source control for your database. Developers store database changes in text-based files on their local development machines and apply them to their local databases. Changelog files can be be arbitrarily nested for better management.

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

Some of the features offered by Amazon RDS are:

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

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

  • Supports code branching and merging
  • Supports multiple developers
  • Supports multiple database types

"Reliable failovers" is the primary reason why developers consider Amazon RDS over the competitors, whereas "Great database tool" was stated as the key factor in picking Liquibase.

Liquibase is an open source tool with 1.79K GitHub stars and 1.09K GitHub forks. Here's a link to Liquibase's open source repository on GitHub.

Airbnb, Netflix, and Coursera are some of the popular companies that use Amazon RDS, whereas Liquibase is used by Viadeo, Orbitz, and Virgin Pulse. Amazon RDS has a broader approval, being mentioned in 1435 company stacks & 526 developers stacks; compared to Liquibase, which is listed in 15 company stacks and 12 developer stacks.

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Pros of Amazon RDS
Pros of Liquibase
  • 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
  • 18
    Great database tool
  • 18
    Many DBs supported
  • 12
    Easy setup
  • 8
    Database independent migration scripts
  • 5
    Unique open source tool
  • 5
    Database version controller
  • 2
    Precondition checking
  • 2
    Supports NoSQL and Graph DBs

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Cons of Amazon RDS
Cons of Liquibase
    Be the first to leave a con
    • 5
      Documentation is disorganized
    • 5
      No vendor specifics in XML format - needs workarounds

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    - No public GitHub repository available -

    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 Liquibase?

    Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

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    What companies use Amazon RDS?
    What companies use Liquibase?
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    What tools integrate with Amazon RDS?
    What tools integrate with Liquibase?

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    What are some alternatives to Amazon RDS and Liquibase?
    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