DBMS > Google Cloud Datastore vs. OrientDB

System Properties Comparison Google Cloud Datastore vs. OrientDB

Please select another system to include it in the comparison.

Our visitors often compare Google Cloud Datastore and OrientDB with GraphDB, Neo4j and PostgreSQL.

Editorial information provided by DB-Engines

Name

Description

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

Multi-model DBMS (Document, Graph, Key/Value)

Primary database model

Document store

Document store
Graph DBMS
Key-value store

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

Score	3.70
Rank	#71	Overall
	#12	Document stores

Score	2.71
Rank	#91	Overall
	#16	Document stores
	#6	Graph DBMS
	#14	Key-value stores

Website

cloud.google.com/datastore

orientdb.org

Technical documentation

cloud.google.com/datastore/docs

www.orientdb.com/docs/last/index.html

Developer

Google

OrientDB LTD; CallidusCloud; SAP

Initial release

2008

2010

Current release

3.2.29, March 2024

License

Commercial or Open Source

commercial

Open Source

Apache version 2

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.

Implementation language

Java

Server operating systems

hosted

All OS with a Java JDK (>= JDK 6)

Data scheme

schema-free

Schema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")

Typing

predefined data types such as float or date

yes, details here

yes

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)

SQL-like query language, no joins

APIs and other access methods

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

Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API

Supported programming languages

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

.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala

Server-side scripts

Stored procedures

using Google App Engine

Java, Javascript

Triggers

Callbacks using the Google Apps Engine

Hooks

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

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

using Google Cloud Dataflow

could be achieved with distributed queries

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

yes

relationship in graphs

Transaction concepts

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

ACID

Serializable Isolation within Transactions, Read Committed outside of Transactions

ACID

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)

Access rights for users and roles; record level security configurable

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

DB-Engines blog posts

Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21 January 2014, Matthias Gelbmann

show all

Recent citations in the news

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

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 of 2025: tested, reviewed and rated by experts
26 March 2025, TechRadar

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

provided by Google News

(PDF) A Benchmark for Performance Evaluation of a Multi-Model Database vs. Polyglot Persistence
12 December 2024, ResearchGate

OrientDB: A Flexible and Scalable Multi-Model NoSQL DBMS
21 January 2022, Open Source For You

The 12 Best Graph Databases to Consider for 2025
1 January 2025, solutionsreview.com

15+ Best Database Software and Systems: Full Analysis
17 October 2023, Themeisle

Figure 4. OrientDB as multi-model database (courtesy of Orient...
15 March 2018, ResearchGate

provided by Google News

Share this page