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Top 10 Cloud SQL Alternatives & Competitors

(354)4.5 out of 5

If you are considering Google Cloud SQL, you may also want to investigate similar alternatives or competitors to find the best solution. Other important factors to consider when researching alternatives to Google Cloud SQL include user interface and availability. The best overall Google Cloud SQL alternative is Microsoft SQL Server. Other similar apps like Google Cloud SQL are Amazon Relational Database Service (RDS), Amazon Aurora, Azure SQL Database, and PostgreSQL. Google Cloud SQL alternatives can be found in Relational Databases but may also be in Database as a Service (DBaaS) Providers.

Best Paid & Free Alternatives to Google Cloud SQL

Microsoft SQL Server
Amazon Relational Database Service (RDS)
Amazon Aurora
Azure SQL Database
PostgreSQL
MySQL
IBM Db2
MongoDB Atlas

Top 10 Alternatives to Google Cloud SQL Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how Google Cloud SQL stacks up to the competition, check reviews from current & previous users in industries like Information Technology and Services, Non-Profit Organization Management, and Computer & Network Security, and find the best product for your business.

Microsoft SQL Server

By Microsoft

(2,217)4.4 out of 5

SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and environment. Experience industry-leading performance, rest assured with innovative security features, transform your business with AI built-in, and deliver insights wherever your users are with mobile BI.

Categories in common with Cloud SQL:

Reviewers say compared to Google Cloud SQL, Microsoft SQL Server is:

Slower to reach roi

More expensive

See all Microsoft SQL Server reviews

Amazon Relational Database Service (RDS)

By Amazon Web Services (AWS)

(1,038)4.5 out of 5

Amazon Relational Database Service (RDS) is a web service that makes it easy to set up, operate, and scale a relational DB in the cloud: Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server.

Categories in common with Cloud SQL:

See all Amazon Relational Database Service (RDS) reviews

Amazon Aurora

By Amazon Web Services (AWS)

(487)4.5 out of 5

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases.

Categories in common with Cloud SQL:

Reviewers say compared to Google Cloud SQL, Amazon Aurora is:

More expensive

Better at support

See all Amazon Aurora reviews

Azure SQL Database

By Microsoft

(331)4.5 out of 5

Azure SQL Database is a relational database-as-a service using the Microsoft SQL Server Engine. SQL Database is a high-performance, reliable, and secure database you can use to build data-driven applications and websites in the programming language of your choice, without needing to manage infrastructure.

Categories in common with Cloud SQL:

Reviewers say compared to Google Cloud SQL, Azure SQL Database is:

Slower to reach roi

Better at support

See all Azure SQL Database reviews

PostgreSQL

By PostgreSQL

(638)4.4 out of 5

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

Categories in common with Cloud SQL:

Relational Databases

See all PostgreSQL reviews

MySQL

By Oracle

(1,636)4.4 out of 5

MySQL is an open source database solution.

Categories in common with Cloud SQL:

Relational Databases

See all MySQL reviews

IBM Db2

By IBM

(670)4.1 out of 5

Optimized for quick response

IBM® Db2® is the database that offers enterprise-wide solutions handling high-volume workloads. It is optimized to deliver industry-leading performance while lowering costs.

Categories in common with Cloud SQL: