Differences between Google Cloud SQL and Cloud Spanner

Cloud SQL and Cloud Spanner are examples of cloud-based solutions that run on GCP. You can scale your database using various services available in public clouds. When comparing cloud databases, there are significant differences between "NoSQL" and "SQL" databases that must be considered. We’ll compare Cloud SQL vs Cloud Spanner so you can decide which one to use for your next project. Understanding the differences between Cloud SQL and Cloud Spanner, two of the most popular SQL cloud databases, may help you choose between them.

What is Google Cloud SQL?

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

Latest features of Google Cloud SQL

• With the increase in RAM, users can store four times as much cache as before.

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

• The updated version now includes 16GB RAM to easily run multiple instances simultaneously.

• Today, Google offers replicated and non-replicated database options.

Cloud Google SQL Features

Thanks to automation of Cloud SQL backup, replication, encryption patching, and capacity expansion, you can always guarantee greater than 99.95% uptime regardless of location.

For uninterrupted business operations, it will automatically guarantee the reliability, security and scalability of your database.

Each Cloud SQL instance has a network firewall that allows you to manage who can access your database from the public internet. Cloud SQL's support for private connections to virtual private clouds (VPCs) makes this possible.

Google’s Cloud SQL is very intuitive. Its GUI allows you to create database instances in just a few clicks without having to type long commands.

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

With MySQL dump you can import and export databases and CSV files.

Cloning is easy and only takes a moment. This way, you can postpone investing in storage space until you actually need it, saving time and money.

What is Cloud Spanner?

Behind every modern software is a database. Larger, more widely used applications cannot run without a reliable database to store and retrieve data. For global applications, Google Cloud Spanner is the relational database service of choice because of its high consistency standards and horizontal scalability.

Google Cloud’s database service, called Cloud Spanner, is entirely controlled by the company. Cloud Spanner is a tool for creating and managing applications found on Google Cloud Platform (GCP) and interacts with many GCP tools and services. It is the only enterprise-grade service that supports SQL queries, transactions, and relational structures, distributed across the globe in a highly consistent manner. It's based on infrastructure developed by Google and tested over the years by powering many of Google's own services.

Cloud Spanner Features

Learn about the highlights of Cloud Spanner functionality.

• Cloud Spanner provides enterprises with comprehensive support for SQL, including commonly used database table formats and column types.

• It is an autonomously scalable relational database.

• It is based on Google Cloud's private network to provide reliable service with minimal latency.

• Cloud Spanner provides transparent synchronous replication across regions and multi-region configurations, with multi-region instance availability up to 99.999% (ten times lower than four nines).

• Locale ensures 99.99% uptime.

• Automatically perform data sharding based on request volume and data volume to optimize performance.

• It ensures reliable consistency in business transactions.

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

• New rows or columns can be added to the database schema online without interrupting service.

• It is suitable for many popular programming languages, such as C#, C, Go, Java, Node.js, PHP, Python, Ruby, etc.

Cloud Spanner functions

In Spanner, a node is just a computing unit. In terms of transaction type, the node server should handle read-only and post-commit read-write requests. You will not experience downtime in the event of a node failure or zone failure. The diagram above depicts a regional Cloud Spanner instance consisting of four nodes hosting two databases. However, the data is not stored on the node server. Nodes within the zone are responsible for accessing and updating their storage. Each node is replicated on three different time zones within a single region.

Differences between Google Cloud SQL and Cloud Spanner

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

When comparing Cloud SQL to Cloud Spanner, the latter seems to be a little more involved. In order to maximize its potential to increase the efficiency of your web applications, you need to become familiar with its many features.

in conclusion

The cloud database market has reached an all-time high, and with it comes the battle between Cloud Spanner and Cloud SQL. Cloud SQL and Cloud Spanner are widely used by both established and emerging enterprises. 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 at the same time. Always do your homework before choosing a provider of such services. As mentioned before, Cloud Spanner is better suited for large databases, while Cloud SQL excels at meeting the needs of smaller operations.

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