Choosing Database as a Service (DBaaS) on GCP

A Cloud Database, is a typical database which can run on top of the virtual platform in a managed way and access the database as Platform as a service. Cloud Database can offer multiple benefits like Developer Agility, IT Productivity, Application Reliability & Performance, Application Security and so on. DBaaS can run without requiring the setup of physical hardware, the installation of software or the need to configure the database. 

Database as a Service was first introduced by AWS in 2009, named as “Relational Database Service (RDS)” and makes a target by 2025, Entire global data will run on the cloud platform through its Relational or Non Relational data module.

Google Cloud Platform introduced Database as a service by 2015. In the last 5 years of Journey, Google’s DBaaS services’ architecture and its performance have made it the leader in Database as a Service by 2019. Few insights are as follows: 

Cloud SQL: A fully managed Relational Database as a service provides virtual databases for MySQL, PostgreSQL, MSSQL. Some Highlights are mentioned below:

a.Cloud SQL has a graphical UI which allows you to structure databases by few clicks and easily integrates with other GCP services like App Engine, Kubernetes etc.

b.Cloud SQLdata is encrypted on Google’s internal network. Cloud SQL supports private connectivity with VPC & every cloud SQL instance includes a secure network firewall which allows to control public network access to DB instances.

c.Cloud SQL offers upto 64 core processors, 416 GB RAM, 30TB of storage and adds replicas to handle increasing read traffic. In Cloud SQL, data can easily scale up when it reaches near the threshold limit. Automatic backup and Binary logging can take place to create Replication and Point-in-time recovery.

d.Cloud SQL for MySQL: Cloud SQL for MySQL is a completely managed community edition database, which supports MySQL 8.0, 5.7 (default), and 5.6,. In cloud SQL for MySQL, Import and export databases can be used by using mysqldump, or CSV file and also supports for MySQL wire protocol and standard MySQL connectors.

e.Cloud SQL for PostGreSQL: Fully managed PostgreSQL Database supports custom machine type. It allows PostgreSQL client-server protocol and standard PostgreSQL connectors as well as SQL Procedural Language. 

f.Cloud SQL for MSSQL: Cloud SQL for MSSQL supports all types of Licensed & free databases like SQL Express, Standard, Web, Enterprise Version. Using Cloud SQL for MSSQL, there is no headache of licensing and versioning of the databases.

Cloud SQL is very commonly used as an alternative to On premises Database platform and it’s economic price structure is best for any SMB to LCS industries. 

Cloud Spanner : Globally distributed, ACID Compliant, Fully managed Relational Database Management System. It has unique features like optimizes performance by automatically sharding the data based on upcoming request load & size of data.  Few Highlights are mentioned below:

a.Cloud Spanner is used for handling massive amounts of data with special auto scaling features. 

b.Cloud Spanner gives 99.9999% SLA with High availability for multi regional instances and provides lucid, synchronous replication across the region as well as multi regional configurations. 

c.Cloud Spanner includes endless flexibility to adopt customized database schema based on operations needed without compromising on the availability of applications. 

d.Cloud Spanner supports all commonly known programming languages like C, C++, Ruby, Python, .Net, Java, PHP etc., and also supports various third party API as well as connectivity tools to establish the proper compatibility. 

e.Cloud Spanner creates Horizontal scaling, meaning one can add more servers in the same cluster to improve the performance & agility. It gives the best solution for any transactional processing data management.

Cloud Spanner is very much applicable for any Retail, E Commerce units as well as for finance Industries for making fast and secure data processing.

Cloud BigTable: Seamlessly Scalable, Managed NoSQL wide column Database Management System. Cloud Bigtable acts as a storage engine which grows GB to PB scale for low latency applications as well as high throughput data processing and analytics. Some of cloud bigtable features are as follows:

a.Easily scalable from a single node per cluster to n number of nodes per cluster as on demand. 

b.Cloud Bigtable can easily be integrated with Big Data tools like Hadoop, dataflow, dataproc etc. 

c.Google marks Cloud Bigtable as a storage engine on its own architecture of Google’s common services like Google Analytics, Google Maps, Google Earth, Google Custom Search Engine, etc.

Cloud Bigtable is best suitable for IoT Industries, Robotics Engineering, Media & Gaming Industries, Big Data & Analytics Industries, etc. 

Cloud Firestore: NoSQL Serverless document database platform for developing flash  mobile & web applications. It has unique features like Built in live synchronization & it’s offline mode helps to make real time applications. Some of highlights mentioned below:

a.Offers significant developer experience with built in live synchronizations, offline support & ACID transactions and it makes the entire process flawless. 

b.Easily integrated with Bigquery, cloud firebase and cloud functions. 

c.Bigtable offers a serverless schema, implying no headache of managing OS or downtime and always ready to scale up based on demand. 

d.Offers high availability with 99.999% SLA & multi region replication with strong consistency.

For making collaborative web or Mobile applications connecting with IoT Device with live analytics, tracking and monitoring; Cloud Firestore is undoubtedly the best suitable option.

In present days, managing data is the prime concern and it increases every day, every minute. So maintaining the Life cycle of a data, always needs a complete highly available and fully managed database as a service solution. The One stop solution for managing & maintaining the heavy amount of data is to keep in Cloud Platform.  Google offers its own database as a service in a way to achieve the highest level of performance, speed, agility, durability, etc.