Differences Between Google Cloud SQL and Cloud Spanner

Cloud SQL and Cloud Spanner are examples of cloud-based solutions that function on GCP. You may scale your database using various services available in the public cloud. Significant distinctions between "NoSQL" and "SQL" databases must be considered when comparing cloud databases. We'll compare Cloud SQL with Cloud Spanner so you can decide which to utilize for your next project. Knowing the differences between Cloud SQL and Cloud Spanner, two of the most popular SQL cloud databases, might help you choose between them.

What is Google Cloud SQL?

MySQL is the underlying database technology for Google Cloud SQL. Google Cloud handles everything, so you don't need to set it up or administer it in any way. Cloud SQL supports MySQL, PostgreSQL, & SQL Server and is a completely relational database service managed. Database management for Google Cloud SQL is handled centrally by Google itself. It's a relational database management system (RDBMS) that, like MySQL, you may create, modify, configure, and use.

Latest Features in Google Cloud SQL

  • As RAM has increased, users can store four times as much cache as before.

  • Google consciously bumped up the storage space from 10 GB to 100 GB.

  • The updated version now includes 16GB of RAM, making running many instances at once easy.

  • These days, Google offers database options for both replication and non-replication.

The Function of Cloud Google SQL

More than 99.95% uptime is guaranteed at all times, regardless of location, thanks to the automation of Cloud SQL's backups, replications, encryption patches, and capacity expansions.

For uninterrupted business operations, it will automatically guarantee your databases' dependability, security, and scalability.

Every Cloud SQL instance features a network firewall that lets you manage who has access to your database from the public internet. This is made possible by Cloud SQL's support for private connectivity with Virtual Private Cloud (VPC).

Cloud SQL from Google is intuitive. Its GUI lets you create database instances with a few clicks rather than typing in long commands.

Google Cloud SQL provides a safe environment for storing and managing data. Google encrypts data at rest in transit and at rest in permanent storage, including databases, temporary files, and backups.

Databases and CSV files can be imported and exported with the help of MySQL dump.

Cloning is simple and just takes a moment. In this manner, you may delay investing in storage space until it's actually required, saving you both time and money.

What is Cloud Spanner?

There is a database behind every modern software. Larger, more widely used apps can't function without a reliable database to store and retrieve data. When it comes to worldwide applications, Google Cloud Spanner is the relational database service to choose from because of its high consistency standards and horizontal scalability.

Google Cloud's database service, known as Cloud Spanner, is fully controlled by the company. Cloud Spanner is a tool for creating and managing applications that can be found on Google Cloud Platform (GCP) that interfaces with many GCP tools and services. It is the only enterprise-grade service that supports SQL queries, transactions, and relational structure, and it is distributed around the globe in a highly consistent fashion. It is based on the infrastructure that Google developed and has been put through its paces for years by powering many of Google's own services.

The Cloud Spanner Features

Take a peek at the highlights of Cloud Spanner's functionality.

  • Cloud Spanner gives enterprises full support for SQL, including the usual database table formats and column types.

  • It is an autonomously scalable relational database.

  • It is based on Google Cloud's private network, which offers dependable service with minimal delay.

  • Cloud Spanner provides transparent, synchronous replication across regional and multi-regional configurations, with an availability of 99.999% (ten times lower than four nines) for multi-regional instances.

  • The regional setting ensures a 99.99% uptime.

  • Automatic sharding of data based on request volume and data volume optimizes performance.

  • It ensures reliable consistency in business transactions.

  • Possess ACID-compliant financial transactions (atomicity, consistency, isolation, and durability).

  • Adding a new row or column to the database schema can be done online with no interruption to service.

  • It works with several popular programming tongues, such as C#, C++, Go, Java, Node.js, PHP, Python, Ruby, and many more.

The Function of Cloud Spanner

In Spanner, a node is simply a unit of computation. In terms of transaction types, node servers should handle read-only and read-write-after-commit requests. You will experience no downtime in the event of a node failure or zone failure. The image above depicts a regional Cloud Spanner instance consisting of four nodes hosting two databases. However, data is not stored on node servers. Nodes within the zone are the ones in charge of accessing and updating its storage. Each node is duplicated over three different time zones within a single region.

Differences Between Google Cloud SQL and Cloud Spanner

When deciding between Google Cloud Spanner and Cloud SQL, use Cloud SQL.

Basics Google Cloud SQL Cloud Spanner
Scalability It has little scalability because it's designed for lighter loads. It improves scalability and service level objectives.
Database Using Cloud Spanner, you may increase or decrease the size of your databases to meet the demands of your company. Cloud Spanner is compatible with any SQL database, whereas Cloud SQL was designed just for MySQL. It provides small, medium, big, and extra-large database instances.
Price The price is comparatively less than Cloud Spanner. The price of Cloud Spanner is high.
MySQL Code Cloud SQL makes it simple to manage MySQL code. Spanner is much more difficult than Cloud SQL to manage MySQL code.
Storage Up to 30 terabytes of data can be kept in Cloud SQL. More than 30 terabytes of data can be kept in Cloud Spanner.

The latter appears to be a bit more involved when comparing Cloud SQL to Cloud Spanner. To maximize its potential for enhancing your web app's efficiency, you'll need to familiarize yourself with its many capabilities.


The market for cloud databases has reached an all-time high, and with it, the cloud Spanner vs. cloud SQL war. Both established and emerging businesses widely use cloud SQL and Cloud Spanner. With Cloud Spanner, you can easily scale your website or web application to millions of users by creating a global database that is accessible to everyone simultaneously. Always do your homework before settling on a provider of this kind of service. As was previously mentioned, Cloud Spanner is better suited to huge databases, while Cloud SQL excels at serving the needs of smaller operations.

Updated on: 27-Apr-2023

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