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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Check the traffic stats of Google Cloud SQL on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Google Cloud SQL on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Google Cloud SQL's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Google Cloud SQL on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
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.
By default, your Cloud Run instances connect to the internet directly. But if your service needs to reach private resources (a Cloud SQL database, a Memorystore Redis instance, an internal API), it needs VPC access. - Source: dev.to / 4 months ago
Persistence & Auth : Cloud SQL for storing chat history and feedback, and OAuth (Google, GitHub, etc.) for secure identity management. - Source: dev.to / 5 months ago
Firebase Data Connect is simplifying the interaction between your applications and your databases. It presents a GraphQL interface directly on top of Cloud SQL, promising rapid development, enhanced security, and a streamlined data management experience. - Source: dev.to / about 1 year ago
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 / over 1 year 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 / over 1 year 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 / about 2 years ago
Cloud SQL: managed relational database service for MySQL, PostgreSQL, and SQL Server. - Source: dev.to / over 2 years 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 3 years ago
Google SQL - not familiar with, does it solve the cons above? Source: over 3 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 3 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 3 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 / about 4 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 4 years ago
MySQL database: Cloud SQL. No free tier. Cost depends on CPU, RAM, etc. More details here. Source: over 4 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 4 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 Googleโs 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 4 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 4 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 5 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: about 5 years ago
Check out https://cloud.google.com/sql. Source: about 5 years ago
Sadly thereโs 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 5 years ago
Google Cloud SQL is a managed database service that offers support for MySQL, PostgreSQL, and SQL Server. As part of the extensive Google Cloud Platform (GCP) ecosystem, Cloud SQL integrates seamlessly with other Google services, such as Google Kubernetes Engine (GKE), Google Cloud Storage, and Vertex AI. This integration is frequently highlighted in discussions about deploying modern applications, particularly those leveraging data and machine learning capabilities, indicating that many developers appreciate the unified experience that Google Cloud offers.
One of the significant advantages of Cloud SQL, as perceived by users, is its managed nature. Users do not have to handle infrastructure tasks like backups, maintenance, updates, and monitoringโthese are managed by Google, allowing developers to focus more on their core application logic. This feature is often mentioned alongside the flexibility of using familiar relational databases (MySQL, PostgreSQL, and SQL Server) without managing the underlying infrastructure, which is seen as a substantial time-saver and complexity reducer for development teams.
In terms of competitor comparisons, Cloud SQL is deemed a 'standard' choice in the Google ecosystem, especially when considered alongside Google's other database offerings like AlloyDB, which is lauded for its reliability and scalability. Although Google Cloud SQL may not stand out for exotic features compared to some specialized databases like Amazon Aurora or SAP HANA, its standardization and ease of use within GCP make it a preferred choice for many developers seeking reliable, managed databases.
However, when it comes to cost considerations, users express mixed opinions. While Google Cloud SQL benefits from the management and integration advantages, it does not offer a free tier, unlike some of its competitors on Amazon Web Services (AWS). This aspect may deter businesses or developers who are cost-sensitive or those experimenting with minimal-budget projects.
Moreover, the absence of free hosting solutions within Cloud SQL can be a point of contention, making other platforms more attractive for developers at the initial stages of application development. Googleโs promotional free credits do mitigate this to some extent, but they do not fully align with the free-tier offerings from some other cloud providers.
Security and performance monitoring capabilities, such as those enabled by integration with tools like Google Cloud Trace and OpenTelemetry, are also valued by technical professionals. The ability to track slow queries and streamline tracing alongside application monitoring systems is noted as a beneficial aspect for operational efficiency in production environments.
In summary, Google Cloud SQL is favorably viewed for its comprehensive integration within the Google Cloud ecosystem, its managed service benefits, and support for popular relational databases. However, cost considerations and the lack of a permanent free tier remain concerns for some users comparing options across different cloud service providers. Overall, Google Cloud SQL remains a robust choice for teams already invested in the Google Cloud ecosystem, prioritizing ease of use and management over cost efficiencies.
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Is Google Cloud SQL good? This is an informative page that will help you find out. Moreover, you can review and discuss Google Cloud SQL 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.
