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Amazon RDS

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Amazon RDS vs Celery: 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; Celery: Distributed task queue. Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

Amazon RDS can be classified as a tool in the "SQL Database as a Service" category, while Celery is grouped under "Message Queue".

"Reliable failovers" is the primary reason why developers consider Amazon RDS over the competitors, whereas "Task queue" was stated as the key factor in picking Celery.

Celery is an open source tool with 12.9K GitHub stars and 3.33K GitHub forks. Here's a link to Celery's open source repository on GitHub.

Airbnb, Netflix, and Coursera are some of the popular companies that use Amazon RDS, whereas Celery is used by Udemy, Sentry, and Postmates. Amazon RDS has a broader approval, being mentioned in 1436 company stacks & 526 developers stacks; compared to Celery, which is listed in 272 company stacks and 77 developer stacks.

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Pros of Amazon RDS
Pros of Celery
  • 163
    Reliable failovers
  • 154
    Automated backups
  • 129
    Backed by amazon
  • 92
    Db snapshots
  • 86
    Multi-availability
  • 29
    Control iops, fast restore to point of time
  • 27
    Security
  • 23
    Elastic
  • 20
    Automatic software patching
  • 20
    Push-button scaling
  • 4
    Replication
  • 3
    Reliable
  • 2
    Isolation
  • 93
    Task queue
  • 59
    Python integration
  • 36
    Django integration
  • 28
    Scheduled Task
  • 18
    Publish/subsribe
  • 6
    Easy to use
  • 6
    Various backend broker
  • 5
    Great community
  • 4
    Free
  • 4
    Workflow
  • 1
    Dynamic

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Cons of Amazon RDS
Cons of Celery
    Be the first to leave a con
    • 4
      Sometimes loses tasks
    • 1
      Depends on broker

    Sign up to add or upvote consMake informed product decisions

    - 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 Celery?

    Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

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    What companies use Amazon RDS?
    What companies use Celery?
    See which teams inside your own company are using Amazon RDS or Celery.
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    What tools integrate with Amazon RDS?
    What tools integrate with Celery?

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    What are some alternatives to Amazon RDS and Celery?
    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