14:I[5014,["/_next/static/chunks/11d1gk4m2o846.js","/_next/static/chunks/14mrh2-p_w84d.js","/_next/static/chunks/40y9lkvta2o_p.js"],"default"] 15:I[38392,["/_next/static/chunks/11d1gk4m2o846.js","/_next/static/chunks/14mrh2-p_w84d.js","/_next/static/chunks/40y9lkvta2o_p.js"],"PracticeCard"] 17:I[70570,["/_next/static/chunks/11d1gk4m2o846.js","/_next/static/chunks/14mrh2-p_w84d.js","/_next/static/chunks/40y9lkvta2o_p.js"],"ExamAppearanceBadge"] 16:T537,Types of cloud databases
- Like a traditional on-premises database, cloud databases can be classified into relational databases and non-relational databases.

Relational cloud databases
Relational cloud databases consist of one or more tables of columns and rows and allow you to organize data in predefined relationships to understand how data is logically related. These databases typically use a fixed data schema, and you can use structured query language (SQL) to query and manipulate data. They are highly consistent, reliable, and best suited to dealing with large amounts of structured data.
- Examples of relational databases include SQL Server, Oracle, MySQL, PostgreSQL, Spanner, and Cloud SQL.

Non-relational cloud databases
Non-relational cloud databases store and manage unstructured data, such as email and mobile message text, documents, surveys, rich media files, and sensor data. They don’t follow a clearly-defined schema like relational databases and allow you to save and organize information regardless of its format.
- Examples of non-relational databases include MongoDB, Redis, Cassandra, Hbase, and Cloud Bigtable.

Source: https://cloud.google.com/