Airflow vs Amazon RDS for Aurora

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Airflow
Airflow

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Amazon RDS for Aurora
Amazon RDS for Aurora

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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.

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What is Airflow?

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.

What is Amazon RDS for Aurora?

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.
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Why do developers choose Airflow?
Why do developers choose Amazon RDS for Aurora?

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    What companies use Amazon RDS for Aurora?

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    What tools integrate with Amazon RDS for Aurora?
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      What are some alternatives to Airflow and Amazon RDS for Aurora?
      Luigi
      It is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
      Apache NiFi
      An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.
      Jenkins
      In a nutshell Jenkins CI is the leading open-source continuous integration server. Built with Java, it provides over 300 plugins to support building and testing virtually any project.
      Apache Beam
      It implements batch and streaming data processing jobs that run on any execution engine. It executes pipelines on multiple execution environments.
      Apache Oozie
      It is a server-based workflow scheduling system to manage Hadoop jobs. Workflows in it are defined as a collection of control flow and action nodes in a directed acyclic graph. Control flow nodes define the beginning and the end of a workflow as well as a mechanism to control the workflow execution path.
      See all alternatives
      Decisions about Airflow and Amazon RDS for Aurora
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      Reviews of Airflow and Amazon RDS for Aurora
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      How developers use Airflow and Amazon RDS for Aurora
      Avatar of Secumail
      Secumail uses Amazon RDS for AuroraAmazon RDS for Aurora

      Managed MySQL clustered database so I dont have to deal with the required infrastructure

      Avatar of RedLine13
      RedLine13 uses Amazon RDS for AuroraAmazon RDS for Aurora

      Core database for managing users, teams, tests, and result summaries

      Avatar of Yaakov Gesher
      Yaakov Gesher uses Amazon RDS for AuroraAmazon RDS for Aurora

      We moved our database from compose.io to AWS for speed and price.

      Avatar of Eugene Ivanchenko
      Eugene Ivanchenko uses AirflowAirflow

      Manage the calculation pipeline and data distribution procedures.

      Avatar of Bùi Thanh
      Bùi Thanh uses Amazon RDS for AuroraAmazon RDS for Aurora
      • Performance, HA and Scalable.
      • AutoScale replicas.
      Avatar of Christopher Davison
      Christopher Davison uses AirflowAirflow

      Used for scheduling ETL jobs

      How much does Airflow cost?
      How much does Amazon RDS for Aurora cost?
      Pricing unavailable