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MySQL Workbench VS AWS Auto Scaling

Compare MySQL Workbench VS AWS Auto Scaling and see what are their differences

MySQL Workbench logo MySQL Workbench

MySQL Workbench is a unified visual tool for database architects, developers, and DBAs.

AWS Auto Scaling logo AWS Auto Scaling

Learn how AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost.
  • MySQL Workbench Landing page
    Landing page //
    2022-06-16
  • AWS Auto Scaling Landing page
    Landing page //
    2023-02-26

MySQL Workbench videos

MySQL Workbench Tutorial | Introduction To MySQL Workbench | MySQL DBA Training | Edureka

More videos:

  • Tutorial - Create MySQL Database - MySQL Workbench Tutorial
  • Tutorial - MySQL Workbench Tutorial

AWS Auto Scaling videos

No AWS Auto Scaling videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to MySQL Workbench and AWS Auto Scaling)
Databases
100 100%
0% 0
Development
0 0%
100% 100
MySQL Tools
100 100%
0% 0
Diagnostics Software
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare MySQL Workbench and AWS Auto Scaling

MySQL Workbench Reviews

15 Best MySQL GUI Clients for macOS
MySQL Workbench is probably the default, if not the ultimate GUI client for MySQL database developers, architects, and analysts. Being compatible with macOS, Windows, and Linux, it includes a good selection of database design and administration tools that will definitely simplify your daily work.
Source: blog.devart.com
Best MySQL GUI Clients for Linux in 2023
MySQL Workbench is the default Linux MySQL GUI client for database developers, architects, and analysts. It is a cross-platform solution, compatible with Windows, Linux, and macOS.
Source: blog.devart.com
9 Best Database Software For Mac [Reviewed & Ranked]
MySQL Workbench is a unified visual tool and acts as a database client for MySQL database servers. It provides features for data modeling, SQL development, and SQL testing and acts as an admin tool for server configuration.
Source: alvarotrigo.com
Top Ten MySQL GUI Tools
MySQL Workbench is a visual schema and query builder that is currently the only SQL client supported and developed by MySQL. It provides compatibility with all current features of MySQL. This open-source relational database software is offered in three editions: Standard, Community, and Enterprise.
Best Database Tools for 2022
MySQL Workbench is a useful database tool that comes as a desktop tool specifically designed for MySQL and is available for Windows, Linux, and Mac OS X. As a visual tool for database architects, developers, database administrators (DBAs), and students, it is a complete solution for these professionals with data modeling, SQL development, user administration, server...
Source: vertabelo.com

AWS Auto Scaling Reviews

We have no reviews of AWS Auto Scaling yet.
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Social recommendations and mentions

Based on our record, AWS Auto Scaling seems to be more popular. It has been mentiond 11 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

MySQL Workbench mentions (0)

We have not tracked any mentions of MySQL Workbench yet. Tracking of MySQL Workbench recommendations started around Mar 2021.

AWS Auto Scaling mentions (11)

  • Building a Greener Cloud: The Role of an Architect for Sustainability in AWS
    AWS Auto-Scaling is a service that automatically adjusts the capacity of an application in response to changing demand. It monitors resource utilization and scales resources up or down as necessary. By using AWS Auto Scaling, businesses can ensure that their applications are always running at optimal performance levels, without wasting resources or energy. - Source: dev.to / about 1 year ago
  • AWS vs Digital Ocean cost comparison in 2022
    Auto scaling lets you scale in/out your servers based on various conditions. So, you could choose to have a minimum capacity as default and let AWS scale it up automatically when needed. You could also schedule the scaling events based on time (For ex: scale to 2x servers during peak times and back to normal during normal hours) There are also other benefits that come with AWS like better eco-system of tools and... - Source: dev.to / over 1 year ago
  • Hidden, absolutely broken, mechanics
    Guys, whats this? Sounds kinda OP if you ask me Https://aws.amazon.com/autoscaling/. Source: about 2 years ago
  • A first impression of AWS App Runner
    AWS Auto Scaling – Makes sure that the application scales based on the number of concurrent requests. - Source: dev.to / over 2 years ago
  • .NET Applications with Linux Containers
    Many customers start their cloud journey with a lift-and-shift approach, running their NTier .NET Framework applications on EC2 without any code changes. It’s common for these deployments to have more than one EC2 Windows instance with an Application Load Balancer (ALB), routing the user requests to one of the EC2 instances. A stateful application can have session affinity (sticky sessions) enabled at the ALB... - Source: dev.to / over 2 years ago
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What are some alternatives?

When comparing MySQL Workbench and AWS Auto Scaling, you can also consider the following products

DBeaver - DBeaver - Universal Database Manager and SQL Client.

IBM Cloud Bare Metal Servers - IBM Cloud Bare Metal Servers is a single-tenant server management service that provides dedicated servers with maximum performance.

DataGrip - Tool for SQL and databases

AWS Deep Learning AMIs - The AWS Deep Learning AMIs provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at any scale.

HeidiSQL - HeidiSQL is a powerful and easy client for MySQL, MariaDB, Microsoft SQL Server and PostgreSQL. Open source and entirely free to use.

Amazon Elastic Inference - Utilities, Application Utilities, and Machine Learning as a Service