Table of contents
Fully Managed Service
Google Cloud SQL handles maintenance, backups, and updates, allowing developers to focus on application development rather than database management tasks.
Scalability
Easily scale vertically by upgrading to more powerful machine types or horizontally to handle increased workload without manual intervention.
High Availability
Google Cloud SQL offers automatic failover, replication, and backup, ensuring minimal downtime and data preservation in case of failures.
Security
Provides multiple layers of security including encryption at rest and in transit, along with built-in firewall rules and IAM policies for robust access control.
Integration
Seamlessly integrates with other Google Cloud services like BigQuery, Compute Engine, and Google Kubernetes Engine, supporting complex architectures and workflows.
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The latest comments about Google Cloud SQL on Reddit. This can help you find out how popualr the product is and what people think about it.
Seamless integration with Google Cloud: GKE integrates smoothly with other Google Cloud services like Cloud Storage, Cloud SQL, and, importantly, Vertex AI, where Gemini and other LLMs are hosted. - Source: dev.to / 4 months ago
Your app must be stateless. Don't use embedded databases. When your users hit your app again, they may be reaching another instance in a completely different state. Persist data in cloud-based storage like GCS, Cloud SQL, or Cloud Firestore. - Source: dev.to / 5 months ago
Data-Driven Projects: Seamless integration with Google's data and AI/ML services (like Cloud Functions and Cloud SQL) streamlines development workflows for data-driven applications. - Source: dev.to / 11 months ago
Cloud SQL: managed relational database service for MySQL, PostgreSQL, and SQL Server. - Source: dev.to / over 1 year ago
All cloud platforms are going to have a Postgres database support. Google has something called AlloyDB that looks fantastic for reliability and scalability. Cloud SQL is a bit more standard though. Source: about 2 years ago
Google SQL - not familiar with, does it solve the cons above? Source: about 2 years ago
Cloud SQL with MySQL as I can run it locally and know its queries will be expressive enough (where I am uncertain about Firestore, for instance). Source: over 2 years ago
For example, a Cloud Run Container is a provider for Services, whereas a Cloud SQL Server is a provider for databases. The providers are wrapped in parent containers that encapsulate the capabilities of their children. - Source: dev.to / over 2 years ago
For the database, I used Cloud SQL, which is a managed database service from Google Cloud Platform (GCP). This GCP product provides a cloud-based alternative to MySQL, PostgreSQL and SQL Server databases. The great advantage of Cloud SQL is that it is a managed service, that is, you do not have to worry about some tasks related to the infrastructure where the database will run, tasks such as backups, maintenance... - Source: dev.to / almost 3 years ago
The normal way: set up a transactional database like PostgreSQL or MySQL, maybe through CloudSQL since we're dealing with the Google Cloud Platform. Use it as application's storage backend. Setup redundancy and backup strategy. Sort out IAM permissions. Query configuration data from BigQuery via federated queries. All of this will of course cost you some extra dollars. - Source: dev.to / over 3 years ago
MySQL database: Cloud SQL. No free tier. Cost depends on CPU, RAM, etc. More details here. Source: over 3 years ago
Cloud SQL is a fully managed relational database service for MySQL, PostgreSQL, and SQL Server. Run the same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management. - Source: dev.to / over 3 years ago
The cloud allows us to focus on the essentials. We use SaaS where possible. We do not build our own load-balancers or start hosting a SQL database ourselves. We replace hand-crafted assets with cloud products. E.g., use Google’s Cloud SQL instead of our own PostgreSQL instance. This reduces complexity and allows us to put more energy into our products. We are more efficient. - Source: dev.to / over 3 years ago
And then, as an example, Cloud SQL gives the tracing information into the Google Cloud Trace. And so that gives the information around slow query on a Cloud Trace. But now, Sqlcommenter is merged into OpenTelemetry. So other tracing libraries can collaborate with our RDBMS solutions. So if the RDBMS backend can provide the tracing information of a specific query to the trace visualizer such as Jaeger and Zipkin,... - Source: dev.to / over 3 years ago
As for a free SQL database online, I would look into Google Cloud's solution, but it also requires a credit card. Source: almost 4 years ago
2) Without knowing more about the project my default would be to use https://cloud.google.com/sql for your database. But I have yet to try "Firestore in Native mode". Source: almost 4 years ago
Check out https://cloud.google.com/sql. Source: almost 4 years ago
Sadly there’s no free hosting of databases, but https://cloud.google.com/sql offers free 3 months, applicable to other Google Cloud services too, https://aws.amazon.com/rds/ offers free 12 months (applicable to other services too) and is the cheapest since it only bills you for the time only db is used. Source: about 4 years ago
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