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Google Cloud SQL

Google Cloud SQL is a fully-managed database service that makes it easy to set-up, maintain, manage and administer your MySQL database. subtitle

Google Cloud SQL Reviews and details

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  • Google Cloud SQL Landing page
    Landing page //
    2023-09-18

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Videos

GCP | Google Cloud SQL | Cloud SQL Features , Read Replicas & High Availability | DEMO

Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about Google Cloud SQL and what they use it for.
  • How to deploy a Django app to Google Cloud Run using Terraform
    Cloud SQL: managed relational database service for MySQL, PostgreSQL, and SQL Server. - Source: dev.to / 4 months ago
  • Seeking advice on selecting a cloud platform for PostgreSQL to merge and sync with two on-premise Oracle databases
    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: 12 months ago
  • Moving my Android app to Google cloud
    Google SQL - not familiar with, does it solve the cons above? Source: about 1 year ago
  • Tech stack discussion
    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 1 year ago
  • Designing an algorithmic cloud infrastructure provisioning system
    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 1 year ago
  • Get data from Cloud SQL with Python
    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 2 years ago
  • Brace yourself: Using BigQuery as an operational backend
    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 2 years ago
  • About Vps Hosting
    MySQL database: Cloud SQL. No free tier. Cost depends on CPU, RAM, etc. More details here. Source: over 2 years ago
  • GCP security best practices
    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 2 years ago
  • Going Cloud Native - The problem with two-speed-IT
    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 2 years ago
  • Cats and Clouds – There Are No Pillars in Observability with Yoshi Yamaguchi
    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 2 years ago
  • Can anyone suggest to me a course/book/video where I can learn practical database design, like when to create which table and what columns to fill?
    As for a free SQL database online, I would look into Google Cloud's solution, but it also requires a credit card. Source: over 2 years ago
  • Storing and querying large, vertical data
    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 3 years ago
  • Online MySQL platforms like MongoDB ?
    Check out https://cloud.google.com/sql. Source: almost 3 years ago
  • How do I put my code on my website?
    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: almost 3 years ago

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This is an informative page about Google Cloud SQL. You can review and discuss the product here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.