Airflow vs Amazon RDS for Aurora: What are the differences?
Airflow: A platform to programmaticaly author, schedule and monitor data pipelines, by Airbnb. Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed; Amazon RDS for Aurora: MySQL and PostgreSQL compatible relational database with several times better performance. Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability.
Airflow belongs to "Workflow Manager" category of the tech stack, while Amazon RDS for Aurora can be primarily classified under "SQL Database as a Service".
Some of the features offered by Airflow are:
- Dynamic: Airflow pipelines are configuration as code (Python), allowing for dynamic pipeline generation. This allows for writting code that instantiate pipelines dynamically.
- Extensible: Easily define your own operators, executors and extend the library so that it fits the level of abstraction that suits your environment.
- Elegant: Airflow pipelines are lean and explicit. Parameterizing your scripts is built in the core of Airflow using powerful Jinja templating engine.
On the other hand, Amazon RDS for Aurora provides the following key features:
- High Throughput with Low Jitter
- Push-button Compute Scaling
- Storage Auto-scaling
Airflow is an open source tool with 12.7K GitHub stars and 4.62K GitHub forks. Here's a link to Airflow's open source repository on GitHub.
Medium, StackShare, and GoGuardian are some of the popular companies that use Amazon RDS for Aurora, whereas Airflow is used by Airbnb, 9GAG, and Square. Amazon RDS for Aurora has a broader approval, being mentioned in 116 company stacks & 30 developers stacks; compared to Airflow, which is listed in 70 company stacks and 30 developer stacks.
What is Airflow?
What is Amazon RDS for Aurora?
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Managed MySQL clustered database so I dont have to deal with the required infrastructure
Core database for managing users, teams, tests, and result summaries
We moved our database from compose.io to AWS for speed and price.