DBMS > gStore vs. IBM Cloudant vs. ObjectBox

System Properties Comparison gStore vs. IBM Cloudant vs. ObjectBox

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Editorial information provided by DB-Engines

Name

Description

A native Graph DBMS to store and maintain very large RDF datasets.

Database as a Service offering based on Apache CouchDB

Extremely fast embedded database for small devices, IoT and Mobile

Primary database model

Graph DBMS
RDF store

Document store

Object oriented DBMS

Secondary database models

Time Series DBMS

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

Score	0.04
Rank	#359	Overall
	#37	Graph DBMS
	#18	RDF stores

Score	2.68
Rank	#106	Overall
	#20	Document stores

Score	1.20
Rank	#170	Overall
	#5	Object oriented DBMS

Website

en.gstore.cn

www.ibm.com/products/cloudant

objectbox.io

Technical documentation

en.gstore.cn/#/enDocs

cloud.ibm.com/docs/Cloudant

docs.objectbox.io

Developer

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

ObjectBox Limited

Initial release

2016

2010

2017

Current release

1.2, November 2023

License

Commercial or Open Source

Open Source

BSD

commercial

Open Source

Apache License 2.0

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

C++

Erlang

C and C++

Server operating systems

Linux

hosted

Android
iOS
Linux
macOS
Windows

Data scheme

schema-free and OWL/RDFS-schema support

schema-free

yes

Typing

predefined data types such as float or date

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

APIs and other access methods

HTTP API
SPARQL 1.1

RESTful HTTP/JSON API

Proprietary native API

Supported programming languages

C++
Java
JavaScript (Node.js)
PHP
Python

C#
Java
JavaScript
Objective-C
PHP
Ruby

C
C++
Dart
Go
Java
JavaScript

planned (as of Jan 2019)
Kotlin
Python

planned (as of Jan 2019)
Swift

Server-side scripts

Stored procedures

yes

View functions (Map-Reduce) in JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

online/offline synchronization between client and server

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

atomic operations within a document possible

ACID

Concurrency

Support for concurrent manipulation of data

yes

Optimistic locking

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

Users, roles and permissions, Role-Based Access Control (RBAC) supported

Access rights for users can be defined per database

yes

More information provided by the system vendor

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