CUBRID vs Google Cloud SQL

CUBRID is a free, self-hosted object-relational database management system for Internet data services. Its architecture combines a database server, a broker, and CUBRID Manager. Transactions support commit, rollback, and savepoints, with locking and logging for consistency. Backup methods include online, offline, and incremental options, while recovery can be partial or full. CUBRID HA synchronizes data between servers and can fail over when a master node fails, although the HA feature supports Linux only. The database supports read replicas and JSON data. Security documentation covers TLS-encrypted client connections, access control, authorization, and transparent data encryption. Interfaces listed include CCI, JDBC, PHP, ODBC, OLE DB, ADO.NET, Ruby, Python, and Node.js. Downloads include CUBRID Manager and the CUBRID Migration Toolkit. Installation documentation lists Windows and 64-bit Linux, requiring at least 1 GB of memory and 2 GB of disk space. The engine is listed at free.

Google Cloud SQL is a managed cloud service for relational databases, supporting MySQL, PostgreSQL, and SQL Server. It provides automated backups, high availability, read replicas, scaling, and point-in-time restoration; retention can extend to 35 days. Database Migration Service can move databases from on-premises systems, Compute Engine, or other clouds, and lift-and-shift migrations to Cloud SQL are available at no additional charge. The service connects with Google Cloud products including Compute Engine, Cloud Run, Google Kubernetes Engine, Cloud IAM, BigQuery, and Datastream, as well as tools such as Looker and Terraform. It encrypts data in transit on Google’s internal networks and at rest, and supports private VPC connectivity and network firewalls. The dedicated trial provides PostgreSQL and MySQL Enterprise Plus instances for 30 days, with no automatic charge, followed by a 90-day stopped state. Cloud SQL is paid, from $0.04; there is no free plan. MySQL use is limited to the InnoDB storage engine.