Is Cloud SQL global?

Is Cloud SQL regional or global?

Cloud SQL can be deployed as a zonal resource, which is stored in two availability zones, a primary zone and a secondary zone. However, you can also create a highly available Cloud SQL instance which is defined as a regional resource, and is deployed across multiple zones in one or more regions.

Is Cloud SQL Multi Regional?

For Cloud SQL you can make daily backups and store them in different regions, zones or even in multi-regional buckets providing geo-redundancy to your data.

Is Cloud SQL distributed?

Key benefits over Google Cloud SQL

Deploy distributed SQL databases for unlimited read, write and storage – scale out when needed, as far as needed.

Are cloud spanners expensive?

Ans: Yes, cloud spanner is quite an expensive product from Google Cloud. Its price range is from $2.70 to $28 per hour for a minimum three-node, production-ready instance, excluding the storage cost.

Is compute engine a zonal resource?

Putting resources in different zones in a region provides isolation from many types of infrastructure, hardware, and software failures. … All Compute Engine resources are either global, regional, or zonal. For example, images are a global resource, but persistent disks are either regional or zonal resources.

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Does GCP have availability zones?

Google Cloud Provider

GCP offers 24 regions with 73 total zones. There are three zones per region, with the US-Central1 region having 4 zones.

When can I use Google Cloud Storage?

You can use Google Cloud Storage to store data in Google’s cloud. Cloud Storage is typically used to store unstructured data. You can add objects of any kind and size, and up to 5 TB.

What is Zone in cloud computing?

A zone is a deployment area for Google Cloud resources within a region. Zones should be considered a single failure domain within a region. To deploy fault-tolerant applications with high availability and help protect against unexpected failures, deploy your applications across multiple zones in a region.

Does Google use SQL?

Databases Used By Google

If you just need a quick answer, Google uses BigTable, Spanner, Google Cloud SQL, MySQL, Dremel, Millwheel, Firestore, Memorystore Firebase, Cloud Dataflow, BigQuery & many more. It has a polyglot persistence architecture.

Is Postgres faster than MySQL?

Ultimately, speed will depend on the way you’re using the database. PostgreSQL is known to be faster while handling massive data sets, complicated queries, and read-write operations. Meanwhile, MySQL is known to be faster with read-only commands.

Is Cloud SQL fully managed?

Google Cloud SQL is a fully managed, relational database that is designed to help you set up, maintain, manage, and administer your MySQL, PostgreSQL and SQL Server relational databases on Google Cloud Platform. This service ensures your relational databases are reliable, scalable and secure in the cloud.

Is Cloud SQL encrypted?

Cloud SQL customer data is encrypted when stored in database tables, temporary files, and backups. External connections can be encrypted by using SSL, or by using the Cloud SQL Auth proxy. How is encryption managed for data at rest?

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What is the difference between BigQuery and Cloud SQL?

Generally, Cloud SQL is a relational database which is more intended for transactional purposes while BigQuery on the other hand is analytics data warehouse which is intended for analytics, data visualization, business intelligence and/or machine learning, etc.