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Learn MorePros of Amazon Managed Workflows for Apache Airflow
Pros of MySQL
Pros of Amazon Managed Workflows for Apache Airflow
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Pros of MySQL
- Sql800
- Free679
- Easy562
- Widely used528
- Open source490
- High availability180
- Cross-platform support160
- Great community104
- Secure79
- Full-text indexing and searching75
- Fast, open, available26
- Reliable16
- SSL support16
- Robust15
- Enterprise Version9
- Easy to set up on all platforms7
- NoSQL access to JSON data type3
- Relational database1
- Easy, light, scalable1
- Sequel Pro (best SQL GUI)1
- Replica Support1
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Cons of Amazon Managed Workflows for Apache Airflow
Cons of MySQL
Cons of Amazon Managed Workflows for Apache Airflow
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Cons of MySQL
- Owned by a company with their own agenda16
- Can't roll back schema changes3
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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.
What is 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.
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What companies use Amazon Managed Workflows for Apache Airflow?
What companies use MySQL?
What companies use Amazon Managed Workflows for Apache Airflow?
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What tools integrate with Amazon Managed Workflows for Apache Airflow?
What tools integrate with MySQL?
What tools integrate with Amazon Managed Workflows for Apache Airflow?
What tools integrate with MySQL?
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What are some alternatives to Amazon Managed Workflows for Apache Airflow and MySQL?
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