Let’s have a look into the details of AWS DynamoDB vs Google Cloud Datastore. At Bobcares, with our AWS Support Services and Google Cloud Platform Support Services, we can handle your cloud issues.

AWS DynamoDB vs Google Cloud Datastore

Amazon DynamoDB is a NoSQL database service that is fully managed. For high availability and durability, DynamoDB stores all data items on Solid State Drives (SSDs) and replicates them across three Availability Zones. We can also offload the administrative work of running and scaling a highly available distributed database cluster with DynamoDB, and we only pay for what we use.

Google Cloud Datastore is an all-encompassing managed NoSQL data storage service. We should store non-relational data in a managed, NoSQL, schemaless database. With support for both transactions and powerful, SQL-like queries, Cloud Datastore scales automatically as needed.

Features Of AWS DynamoDB & Google Cloud Datastore

In this section, we will see the main features of AWS DynamoDB & Google Cloud Datastore.

Features Of AWS DynamoDB

• Automated Storage Scalin
• Provisioned Throughput
• Fully Distributed, Shared Nothing Architecture

Features Of Google Cloud Datastore

• Schemaless access, with SQL-like querying
• Managed database
• Autoscale with the users

Advantages & Disadvantages Of AWS DynamoDB & Google Cloud Datastore

Let’s explore the advantages & disadvantages Of AWS DynamoDB & Google Cloud Datastore.

Advantages Of AWS DynamoDB

• Starting is very simple; all we need to do is create a table with a partition/sort key
• We can scale up or down the read/write IO as necessary
• Both structured and unstructured data can be stored
• Since it is JSON-based, web development works great with it
• Scaling automatically (especially with the new on-demand capacity mode)
• Simple database queries for very large databases
• Effortlessly keep an almost infinite amount of data
• Highly economical for random access patterns

Disadvantages Of AWS DynamoDB

• The process of building indexes and enabling query execution come at a price
• To connect to and interact with DynamoDB, a thick client would be nice
• To be able to engineer toward optimization, it would be nice to have a better understanding of how DynamoDB worked
• Intricate searching (no support for case-insensitive or full-text search)
• Only works with indexes that have two keys
• Requires that when conducting searches, the indexes be chosen in advance
• Does not have a query front-end that supports SQL
• No support for join-tables

Advantages Of Google Cloud Datastore

• Our primary cloud service provider, GCP, hosts it
• Every service we use in GCP integrates with Datastore
• It will handle Shards and replication are automatically
• NoSQL and without a schema
• Full management

Disadvantages Of Google Cloud Datastore

• The fact that GCP hosts it makes it more difficult if your business has a multi-cloud strategy
• There may be a catch if you want to switch to another cloud provider
• Part of the walled garden of the Google Cloud Platform
• Pay for storage, in addition, to read/write to the datastore
• There are not many libraries

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Conclusion

To summarize, we have included the basic features of DynamoDB and Google Cloud Datastore. We also differentiate between the features of DynamoDB vs Google Cloud Datastore.