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Google Cloud Run VS MySQL

Compare Google Cloud Run VS MySQL and see what are their differences

Google Cloud Run logo Google Cloud Run

Bringing serverless to containers

MySQL logo MySQL

The world's most popular open source database
  • Google Cloud Run Landing page
    Landing page //
    2023-10-16
  • MySQL Landing page
    Landing page //
    2022-06-17

Google Cloud Run videos

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MySQL videos

MySQL IN 10 MINUTES (2020) | Introduction to Databases, SQL, & MySQL

More videos:

  • Review - A Review of MySQL Open Source Software

Category Popularity

0-100% (relative to Google Cloud Run and MySQL)
Cloud Computing
100 100%
0% 0
Databases
0 0%
100% 100
Cloud Hosting
100 100%
0% 0
Relational Databases
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 Google Cloud Run and MySQL

Google Cloud Run Reviews

Top 12 Kubernetes Alternatives to Choose From in 2023
So if anyone is looking for a flexible and cost-efficient platform for running containers on Google Cloud, then Google Cloud Run is great.
Source: humalect.com

MySQL Reviews

MariaDB Vs MySQL In 2019: Compatibility, Performance, And Syntax
MySQL: MySQL is an open-source relational database management system (RDBMS). Just like all other relational databases, MySQL uses tables, constraints, triggers, roles, stored procedures and views as the core components that you work with. A table consists of rows, and each row contains a same set of columns. MySQL uses primary keys to uniquely identify each row (a.k.a...
Source: blog.panoply.io
20+ MongoDB Alternatives You Should Know About
MySQL® is another feasible replacement. MySQL 5.7 and MySQL 8 have great support for JSON, and it continues to get better with every maintenance release. You can also consider MySQL Cluster for medium size sharded environments. You can also consider MariaDB and Percona Server for MySQL
Source: www.percona.com

Social recommendations and mentions

Based on our record, Google Cloud Run seems to be a lot more popular than MySQL. While we know about 83 links to Google Cloud Run, we've tracked only 4 mentions of MySQL. 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.

Google Cloud Run mentions (83)

  • A Brief History Of Serverless
    In 2019, Google announced Cloud Run. This was, in essence, a managed Knative. Now, Cloud Run doesn't run on Kubernetes, but it is Knative Serving API compliant. This means that you could take a standard Knative YAML manifest and use it to deploy your containers to Cloud Run with no issue. - Source: dev.to / 22 days ago
  • The 2024 Web Hosting Report
    Examples for products in this category are: Google Cloud Run, AWS App Runner, Azure Container Apps. Each has different scalability, cost, and integration trade-offs. - Source: dev.to / 4 months ago
  • How to deploy a Django app to Google Cloud Run using Terraform
    Cloud Run is a managed platform that enables you to run container based workloads on top of Google infrastructure. Cloud Run automates many of the above steps and allows you to focus on developing and deploying updates to your application. - Source: dev.to / 5 months ago
  • Golden Ticket To Explore Google Cloud
    Serverless computing was also introduced, where the developers focus on their code instead of server configuration.Google offers serverless technologies that include Cloud Functions and Cloud Run.Cloud Functions manages event-driven code and offers a pay-as-you-go service, while Cloud Run allows clients to deploy their containerized microservice applications in a managed environment. - Source: dev.to / 10 months ago
  • Ultimate Guide to User Authorization with Identity Platform
    The quickest way is to deploy to Cloud Run. The service will use Dockerfile to build the production image. You can even omit the GOOGLE_APPLICATION_CREDENTIALS env var as these are in GCP’s projects by default. - Source: dev.to / 11 months ago
View more

MySQL mentions (4)

  • I have a recurring issue with a MySQL DB where I continually run out of disk space due to logs being filled. I've tried everything I can think of. Can anyone think of anything else I should try?
    So, I did a quick read through the mysql reference and found a bunch of flush related commands. I tried:. Source: 12 months ago
  • MMORPG design resources
    MySQL: Any SQL or DB knock-off, really... mysql.com - mariadb.org - sqlite.org. Source: over 1 year ago
  • Probably a syntax error
    15 years and five strokes ago. I was a Unix sysadmin. ALthough I was never an actual programmer, I did maintenance/light enhancement for the organization's website, in php. Now, as self-administered cognative therapy, I'm going back to it. This is an evil HR application that uses the mysql.com employees sample database. The module below enables the evil HR end user to generate a list of the oldest workers so... Source: almost 3 years ago
  • An absolute nightmare with mysql 8.0.25
    I always use the packages from mysql.com, that way I don't have to deal with strange configuration stuff along those lines, but anyway, I'm afraid I'm out of ideas. Surely someone else would have run in to the same issue here though. Source: almost 3 years ago

What are some alternatives?

When comparing Google Cloud Run and MySQL, you can also consider the following products

AWS Lambda - Automatic, event-driven compute service

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Spot.io - Build web, mobile and IoT applications using AWS Lambda and API Gateway, Azure Functions, Google Cloud Functions, and more.

Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

Knative - Knative provides a set of components for building modern, source-centric, and container-based applications that can run anywhere.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.