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Google Cloud Database Services
Google Cloud provides users with different resources and one among them is Database services. After exploring the database services from the websites, choosing the right for your concern is difficult as there are many options available. The primary purpose of these services is to store the data securely and globally. There are three types of services provided namely hybrid data distribution, regional data distribution, and multi-cloud distribution. In the below article based on the database, the services provided by them are explained.
Google Cloud Database Services
The Google Cloud database supports three main types of deployment that are making all the resources into action namely −
1. Single Cloud Deployment
Among the deployment models, single cloud deployment is the simpler one. It transfers the process of on-premise which is the physical installation of software into a cloud-based database service and it stops using all the on-premise resources.
2. Hybrid Cloud Deployment
It is a deployment method that uses both the Google Cloud and the On-premise. The data in the Google Cloud will sometimes need to access the on-premise application and vice versa.
3. Multi-cloud Deployment
For the data stored in the database, we use the Google cloud service provided by Google and similarly, there is a wide range of cloud providers available.
Database and the Google Cloud services provided
There are primarily two databases namely relational and non-relational −
1. Relational Database
It is a management system to create, update and maintain the relational database.
1. Alloy Database for PostgreSQL
It is the most commonly used Relational database system for data storage in the cloud warehouse. Alloy database is compatible with the PostgreSQL database which provides services like high performance, availability, and fully accessible.
2. Cloud Spanner
It breaks the large database data into smaller parts called data shredding based on the size and request from the client. The Database data can be scaled either vertically or horizontally. The user can rely more on the business scale than wasting time on scaling the database.
The other features are high availability of 99.99% and the occurrence of downtime is less than ten times compared to other database services.
3. Cloud SQL
Once the Cloud SQL is chosen, it automatically provides reliability and security to the data. It manages every process from the backup of data to increase the capacity to provide availability of more than 99.95%.
The Data is also automatically encrypted and it can be used from anywhere. A Data Migration system is used to migrate the data from the database installed in the system to the cloud SQL.
4. Bare Metal Solutions for Oracle
For the Oracle software workloads, there is a relational database available to minimize the tasks by transferring them to Google Cloud Services.
To maintain reliable services in Oracle, the on-premise needs different hardware and software that has to be physically installed. When Google Cloud is used, it provides one solution to all the problems thus increasing performance and reliability.
2. Key-Value Database
It is a non Relational database and the data is stored in the cloud using the key-value method.
The service provided by it is better, faster, and more efficient than others. For managing the operational and analytical data, it does not need a relational database. As it is faster, it can handle a maximum of five million instructions per second and minimizes downtime. The data once used can be used again using the replication method automatically with no downtime. The Availability of cloud bigtable is 99.99%.
3. Document Database
It is the type of database that stores data or information in the form of documents.
It is a database service that is mostly used for mobile and web development. The availability of Firestore is 99.99% and provides a serverless document database. For the developers, Firestore is the most used one for ease and quick launch of the application.
Firebase Real-time Database
It is a cloud-based database that lets the users synchronize the data in real time.
4. In-memory Database
To the name given, the database depends on the primary memory for data storage in the cloud.
It is a database service that reduces delay, is reliable, and gives high availability. It is designed especially for two caching systems namely Redis and Memcached. While designing an application, the developer can choose these caching systems based on specific needs and costs. It also provides an availability of 99.9%.
5. Additional NoSQL database
Apart from the NoSQL databases like Document and key-value databases. There are some other databases available like,
Mongo Database Atlas
It is a globally available cloud database service for modern applications.
Among the services, the organization can choose the best database services for the amount of data and cost. This article includes both Relational and non-relational databases and can be chosen among them. The key points that need to be considered while choosing the database are cost, flexibility, reliability, security, and based on the capacity of holding data.
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