DBMS > Google Cloud Datastore

Google Cloud Datastore System Properties

Please select another system to compare it with Google Cloud Datastore.

Our visitors often compare Google Cloud Datastore with MongoDB, Elasticsearch and Amazon DynamoDB.

Editorial information provided by DB-Engines

Name

Description

Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform

Primary database model

Document store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	3.70
Rank	#71	Overall
	#12	Document stores

Website

cloud.google.com/datastore

Technical documentation

cloud.google.com/datastore/docs

Developer

Google

Initial release

2008

License

Commercial or Open Source

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Server operating systems

hosted

Data scheme

schema-free

Typing

predefined data types such as float or date

yes, details here

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language (GQL)

APIs and other access methods

gRPC (using protocol buffers) API
RESTful HTTP/JSON API

Supported programming languages

.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

Server-side scripts

Stored procedures

using Google App Engine

Triggers

Callbacks using the Google Apps Engine

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication using Paxos

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

using Google Cloud Dataflow

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on type of query and configuration

Strong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.

Foreign keys

Referential integrity

yes

via ReferenceProperties or Ancestor paths

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Serializable Isolation within Transactions, Read Committed outside of Transactions

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

User concepts

Access control

Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

Google Cloud vs AWS: Which Cloud Computing Platform is Better?
5 April 2025, Cloudwards.net

Observability: cloud monitoring and logging
18 November 2024, Google Cloud

Best Cloud Storage Options for All Your Data in 2025
16 April 2025, CNET

(PDF) Implementation Google Cloud Platform as Data Storage in Industry
22 October 2024, ResearchGate

Enabling Security for Hadoop Data Lake on Google Cloud Storage
30 July 2024, Uber

provided by Google News

Share this page