Although being a newcomer to the cloud infrastructure market, Google Cloud has established a solid position among the large heavyweights AWS and Microsoft. GCP has built an impressive customer portfolio over the last three years, including Spotify, BestBuy, and Vimeo.
If you’ve decided to use Google Cloud Platform for your data, you’ll need to think about data storage alternatives. The sort of applications and workflows you use might help you choose the finest storage and database options. But, before we go into commercial storage solutions, one of the most popular Google cloud storage options – Google Drive – should be mentioned. In this blog will explain How to Choose the right GCP storage option.
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Google Cloud-managed storage and database
The services range from relational to NoSQL, object storage, data warehouse, and in memory. These GCP storage services are fully managed, scalable, and guaranteed by industry-leading service level agreements (SLAs).
Cloud SQL
This quick and compatible storage service enables cloud management of relational MySQL and PostgreSQL databases.
Cloud Spanner
Cloud Spanner, another fully managed, relational Google Cloud database service, differs from Cloud SQL in that it focuses on combining the benefits of relational structure and non-relational scalability. It offers row consistency and high-performance operations, as well as built-in security, automatic replication, and multi-language compatibility.
Firestore
Firestore is a scalable NoSQL cloud database that can be used to store and sync data for client- and server-side programming.
Cloud Bigtable
Cloud Bigtable is a fully managed non-relational database that may be used for real-time access as well as analytical applications. It is a fantastic solution for large-scale, low-latency applications, as well as intense data analytics applications such as IoT, personalization, recommendations, monitoring, and geographic datasets.
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Cloud Storage
Cloud Storage is one of the storage options available on the Google Cloud Platform. This highly scalable service can manage an unlimited number of objects, each with a capacity of 5 TB, such as photographs and content files.
BigQuery
BigQuery allows you to execute SQL data analysis and query stream data. Because BigQuery is a fully managed serverless data warehouse, its built-in Data Transfer Service assists you in migrating data from on-premises resources such as Teradata.
Memory Store
Cloud Memorystore is a managed, in-memory Google Cloud data store that enables the development of application caches with sub-millisecond data access latency. It is intended to be secure, scalable, and highly available.
Key Storage Characteristics
Availability SLAs
The availability SLAs (Service Level Agreements) for various GCP storage services vary. The availability SLA for a service is frequently determined by the service’s setup.
Durability
The odds of losing data are represented by data durability. The endurance of the GCP storage solution is a shared responsibility. Google Cloud is responsible for ensuring data durability in the case of a hardware failure.
Amount of data and the number of reads and writes
When choosing a data storage service, it is critical to consider the volume of data as well as the number of accesses and writes.
Some services, like as Bigtable and Spanner, grow horizontally by adding nodes, whereas Cloud SQL and Memorystore scale computers vertically. Other services, such as cloud storage BigQuery and Firestore, scale automatically and without constraints.
Consistency
Another key factor to consider when creating data solutions is consistency. Databases with strong consistency update all copies of data inside a transaction. It ensures that everyone receives the most recent copy of the data on reads.
Cloud storage, Cloud SQL, Spanner, and Firestore are examples of Google Cloud Services that provide high consistency.
Conclusion
Hopefully, you enjoyed this blog and now understand everything about Google Cloud, including How to Choose the right GCP storage option.
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