What is Amazon Managed Workflows for Apache Airflow?
It is a managed orchestration service for Apache Airflow1 that makes it easier to set up and operate end-to-end data pipelines in the cloud at scale. With Managed Workflows, you can use Airflow and Python to create workflows without having to manage the underlying infrastructure for scalability, availability, and security. Managed Workflows automatically scales its workflow execution capacity to meet your needs, and is integrated with AWS security services to help provide you with fast and secure access to data.
Amazon Managed Workflows for Apache Airflow is a tool in the Workflow Manager category of a tech stack.
Who uses Amazon Managed Workflows for Apache Airflow?
Companies
6 companies reportedly use Amazon Managed Workflows for Apache Airflow in their tech stacks, including Voodoo, Cloud & SRE & DevOps, and HUMANOO.
Developers
14 developers on StackShare have stated that they use Amazon Managed Workflows for Apache Airflow.
Amazon Managed Workflows for Apache Airflow Integrations
Amazon S3, AWS Lambda, Amazon CloudWatch, Amazon DynamoDB, and Amazon SQS are some of the popular tools that integrate with Amazon Managed Workflows for Apache Airflow. Here's a list of all 15 tools that integrate with Amazon Managed Workflows for Apache Airflow.
Amazon Managed Workflows for Apache Airflow's Features
- Deploy Airflow rapidly at scale
- Run Airflow with built-in security
- Reduce operational costs
- Use a pre-existing plugin or use your own
Amazon Managed Workflows for Apache Airflow Alternatives & Comparisons
What are some alternatives to Amazon Managed Workflows for Apache Airflow?
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.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
Related Comparisons
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