Google Cloud Datastore

Score7.1 out of 10

35 Reviews and Ratings

What is Google Cloud Datastore?

Google Cloud Datastore is a NoSQL "schemaless" database as a service, supporting diverse data types. The database is managed; Google manages sharding and replication and prices according to storage and activity.

Categories & Use Cases

Performance
How fast the database performs under data load
Category average: 9.2
Scalability
NoSQL databases are inherently more stable than relational databases and have built-in support for replication and partitioning of data to support scalability.
Category average: 9.5
Deployment model flexibility
Can be deployed on-premise or in the cloud.
Category average: 8.9

Security
Security features include authentication against external security mechanisms liker LDAP, Windows Active Directory, and authorization or privilege management. Some NoSQL databases also support encryption.
Category average: 9.1
Availability
Availability is the probability that the NoSQL database will be available to preform its function when called upon.
Category average: 9.3
Data model flexibility
NoSQL databases do not rely on rely on tables, columns, rows, or schemas to organize and retrieve data, but use use more flexible data models to accommodate the large volume and variety of data being generated by modern applications.
Category average: 9

Most Frequent Users

Top 3 industries using Google Cloud Datastore.

Based on HG Insights installation data

View all Reviews

#1 most frequent

Professional, Scientific, and Technical Services

26.1%

99 installations of 379

#2 most frequent

Information

24.8%

94 installations of 379

#3 most frequent

Finance and Insurance

15.0%

57 installations of 379

Verified User

Employee in Research & Development (51-200 employees employees)

Use Cases and Deployment Scope

We use Google Cloud Datastore to persist data in our mobile application. We needed a fast solution that allows us to read big sets of data without the complexity of table related databases. Since our app was already leveraging the Google Cloud ecosystem, we chose Google Cloud Datastore over other solutions.

Pros

Data retrieval speed
Data inspection
Implementation simplicity

Cons

Data written to Datastore can have a delay before it's actually retrieved from the application
Missing indexes give query errors

Return on Investment

It allows us to make data available in our app blazingly fast, compared to other databases

Usability

Alternatives Considered

MySQL and MongoDB

Other Software Used

GitHub Copilot, GitHub, Microsoft Visual Studio Code

Verified User

Engineer in Information Technology (10,001+ employees employees)

Pros

It is hosted in GCP, our primary cloud provider.
It integrates with all the services we use in GCP.

Cons

It is hosted on GCP, which makes it harder if your company have multi-cloud strategy.
When you want to migrate to other cloud providers, there can be a caveat.

Return on Investment

It solves our NoSQL database problem.
It it highly scalable and available to meets our needs.

Alternatives Considered

Amazon DynamoDB and MongoDB Atlas

Other Software Used

Amazon DynamoDB, MongoDB Atlas, Google Cloud Spanner, Google Cloud SQL

Verified User

Engineer in Engineering (51-200 employees employees)

Pros

Automatically handles shards and replication.
Schema-less & NoSQL.
Fully managed.

Cons

Part of the Google Cloud Platform walled garden.
Pay for read/writes to the datastore, in addition to storage.
Not many libraries exist.

Return on Investment

Simple billing part of Google Cloud Platform
No time spent configuring and maintaining Google Cloud Datastore.
Very good uptime for our applications.

Alternatives Considered

MySQL, MariaDB and Cassandra

Other Software Used

Google App Engine, CentOS, MySQL, MariaDB, JIRA Software, Atlassian Confluence, Redmine, GitHub, Bitbucket

Google Cloud Datastore

What is Google Cloud Datastore?

Categories & Use Cases