DBMS > gStore vs. ObjectBox

System Properties Comparison gStore 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.

Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectors

Primary database model

Graph DBMS
RDF store

Object oriented DBMS
Vector DBMS

Secondary database models

Time Series DBMS

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

Score	0.01
Rank	#374	Overall
	#39	Graph DBMS
	#20	RDF stores

Score	1.07
Rank	#174	Overall
	#6	Object oriented DBMS
	#11	Vector DBMS

Website

en.gstore.cn

github.com/objectbox
objectbox.io

Technical documentation

en.gstore.cn/#/enDocs

docs.objectbox.io

Developer

ObjectBox Limited

Initial release

2016

2017

Current release

1.2, November 2023

4.0 (May 2024)

License

Commercial or Open Source

Open Source

BSD

Bindings are released under Apache 2.0

Apache License 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++

C and C++

Server operating systems

Linux

Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows

Data scheme

schema-free and OWL/RDFS-schema support

yes

Typing

predefined data types such as float or date

yes

yes, plus "flex" map-like types

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

Proprietary native API

Supported programming languages

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

C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift

Server-side scripts

Stored procedures

yes

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

Data sync between devices allowing occasional connected databases to work completely offline

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

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

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

yes

More information provided by the system vendor

News

Why do we need Edge Computing for a sustainable future?
30 November 2024

IoT, Edge Computing, and Digitalization in Healthcare
22 November 2024

The Embedded Database for C++ and C
11 November 2024

The Critical Role of Databases for Edge AI
11 November 2024

Bi-directional Offline-First Data Sync with MongoDB and ObjectBox
21 October 2024

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