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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