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Google Cloud SQL is a database-as-a-service (DBaaS) with the capability and functionality of MySQL.Second to noneGoogle Cloud SQL is a managed SQL database service for MySQL and PostgreSQL. Since we use MySQL for some of our products, we moved our SQL tables schema and data from VMs to a Google Cloud SQL MySQL instance. This has helped us with simple backups/restorations, upgrades/downgrades, fine-tuning settings, and uptime. This also meant that if we had our MySQL running on a VM alongside other services and someone accidentally restarted/deleted the VM, then there's no need to worry about such situations if we are using the GCP's SQL.,It's easy to configure and use. Built-in automatic data backups. High availability instance failover.,Support for other open source SQL servers. Lack of better information/documentation for failover configuration.,9,Google Cloud SQL has reduced our operational costs by not having to manage our own instance of the MySQL server. Since code and SQL instance are now decoupled, it was possible to scale where we had to.,,Amazon Relational Database Service, Azure SQL DatabaseGreat cloud db offeringGoogle Cloud SQL (MySQL) is used as the relational data store for our product. The ability to scale up, have read replicas, and have automatic failover built into the offering are really nice features. The automated backup feature is nice as well. To have 7 days of backups available at any time without having to support the processes necessary to make that happen is great.,Automatic failover to another region in case the database goes down. Easily scale the instance up if more processing power or memory is required.,Automatic backup validation. The backups are performed on a daily basis within the selected window, however, they are not validated. This means the backup could be reported as successful but ultimately be unusable in a situation where it is needed. We got around this issue by periodically validating on our own by spinning up a box, restoring the backup to the new instance, and then destroying the instance after validation. It's not perfect, but is a good sanity check to make sure our backups are valid in case we do need them.,8,It has allowed us to focus on our product/database and not worry about the infrastructure as much. This is a big benefit for a smaller company with limited resources.,Azure SQL Database,Google BigQuery, Google App Engine, Google AuthenticatorGoogle Cloud SQL Review from a daily userWe have been using it mainly whenever we need structured data. Use case: - Historical pricing of products (Archive),Super easy to set up: new instance -> Authorization -> play Automatic backup every night! (Keeps past 7 days as copy as well) Automatic failover, in case your main SQL instance fails, they automatically switch you over.,It could be cheaper. Definitely cheaper. It could provide more information about failovers. It could allow you to customize more.,7,Saved about 60% from moving to custom SQL instances 99% faster deployment = lower cost for deployment in man-hours It is hard to add access while doing development on the go.,Amazon Aurora,Google Analytics, Google Cloud Storage, Amazon Glacier,3,1,Ease of use data storage (ie, demos) Relational data Data that needs easy backup,For queue services that do not require high load. Demos Simple access systems,Secret Secret Secret,9,Yes,Price Product Features Product Usability Vendor Reputation,I would have used a failover from the start.Google Cloud SQL is Crazy Fast[We're] using it as the primary database supporting multiple WordPress installations that are running on Google Cloud. It's being used for every site that we currently have on Google Cloud, and are in the process of moving more sites over to this platform. Having everything on Google's infrastructure makes everything easy to manage and Google Cloud SQL is insanely fast.,It's insanely fast. Easy integration with Google Cloud hosted services. It's backed by Google's infrastructure, which is always good.,Connecting to it for the first time is a little confusing. An interface for interacting with the data would be awesome.,10,No need for a dedicated MySQL VM, which saves money. Has resulted in faster loading websites, which affects the bottom line.,MySQL,Apache Web Server, Nginx, WordPress
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Google Cloud SQL
29 Ratings
Score 8.4 out of 101
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Google Cloud SQL Reviews

Google Cloud SQL
29 Ratings
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Score 8.4 out of 101
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Reviews (1-4 of 4)

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Bhargav Nanekalva profile photo
April 10, 2019

Google Cloud SQL Review: "Second to none"

Score 9 out of 10
Vetted Review
Verified User
Review Source
Google Cloud SQL is a managed SQL database service for MySQL and PostgreSQL. Since we use MySQL for some of our products, we moved our SQL tables schema and data from VMs to a Google Cloud SQL MySQL instance. This has helped us with simple backups/restorations, upgrades/downgrades, fine-tuning settings, and uptime. This also meant that if we had our MySQL running on a VM alongside other services and someone accidentally restarted/deleted the VM, then there's no need to worry about such situations if we are using the GCP's SQL.
  • It's easy to configure and use.
  • Built-in automatic data backups.
  • High availability instance failover.
  • Support for other open source SQL servers.
  • Lack of better information/documentation for failover configuration.
Google Cloud SQL provides the two most popular open source SQL servers, does everything right, and can be used for most use cases. It can be used for most business applications and at any scale, as Google Cloud SQL can scale very well based on the application needs. It's less appropriate for applications that use a DB other than MySQL and PostgreSQL, and for apps that don't need data persistence.
Read Bhargav Nanekalva's full review
No photo available
May 22, 2019

Google Cloud SQL Review: "Great cloud db offering"

Score 8 out of 10
Vetted Review
Verified User
Review Source
Google Cloud SQL (MySQL) is used as the relational data store for our product. The ability to scale up, have read replicas, and have automatic failover built into the offering are really nice features. The automated backup feature is nice as well. To have 7 days of backups available at any time without having to support the processes necessary to make that happen is great.
  • Automatic failover to another region in case the database goes down.
  • Easily scale the instance up if more processing power or memory is required.
  • Automatic backup validation. The backups are performed on a daily basis within the selected window, however, they are not validated. This means the backup could be reported as successful but ultimately be unusable in a situation where it is needed. We got around this issue by periodically validating on our own by spinning up a box, restoring the backup to the new instance, and then destroying the instance after validation. It's not perfect, but is a good sanity check to make sure our backups are valid in case we do need them.
It is great if you don't want to worry about managing hardware and infrastructure and instead focus your efforts on work directly related to your product's database needs, i.e. schema design, efficient queries, etc. However, if you are dealing with very large data sets, then BigQuery, BigTable, or similar might be better suited for your needs.
Read this authenticated review
Kristian Hareland profile photo
October 02, 2017

"Google Cloud SQL Review from a daily user"

Score 7 out of 10
Vetted Review
Verified User
Review Source
We have been using it mainly whenever we need structured data.

Use case:
- Historical pricing of products (Archive)
  • Super easy to set up: new instance -> Authorization -> play
  • Automatic backup every night! (Keeps past 7 days as copy as well)
  • Automatic failover, in case your main SQL instance fails, they automatically switch you over.
  • It could be cheaper. Definitely cheaper.
  • It could provide more information about failovers.
  • It could allow you to customize more.
When you need relational storage.
Not when you need warehousing.
Read Kristian Hareland's full review
Tyler Longren profile photo
March 15, 2017

User Review: "Google Cloud SQL is Crazy Fast"

Score 10 out of 10
Vetted Review
Verified User
Review Source
[We're] using it as the primary database supporting multiple WordPress installations that are running on Google Cloud. It's being used for every site that we currently have on Google Cloud, and are in the process of moving more sites over to this platform. Having everything on Google's infrastructure makes everything easy to manage and Google Cloud SQL is insanely fast.
  • It's insanely fast.
  • Easy integration with Google Cloud hosted services.
  • It's backed by Google's infrastructure, which is always good.
  • Connecting to it for the first time is a little confusing.
  • An interface for interacting with the data would be awesome.
If you're hosting a site on Google Cloud, it only makes sense to make use of Google Cloud SQL for the database, as opposed to running a separate MySQL service on a VM. It's extremely fast and has resulted in a dramatic improvement in page load time across multiple sites.
Read Tyler Longren's full review

Feature Scorecard Summary

Automatic software patching (4)
9.5
Database scalability (4)
8.8
Automated backups (4)
7.8
Database security provisions (4)
9.3
Monitoring and metrics (4)
8.8
Automatic host deployment (3)
9.0

About Google Cloud SQL

Google Cloud SQL is a database-as-a-service (DBaaS) with the capability and functionality of MySQL.

Google Cloud SQL Technical Details

Operating Systems: Unspecified
Mobile Application:No