DBMS > BigchainDB vs. Firebase Realtime Database vs. gStore vs. OceanBase vs. RDFox

System Properties Comparison BigchainDB vs. Firebase Realtime Database vs. gStore vs. OceanBase vs. RDFox

Editorial information provided by DB-Engines

Name

Description

BigchainDB is scalable blockchain database offering decentralization, immutability and native assets

Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.

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

A distributed, high available RDBMS compatible with Oracle and MySQL

High performance knowledge graph and semantic reasoning engine

Primary database model

Secondary database models

Document store
Wide column store

Relational DBMS

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

Score	0.76
Rank	#213	Overall
	#35	Document stores

Score	13.43
Rank	#39	Overall
	#6	Document stores

Score	0.02
Rank	#372	Overall
	#38	Graph DBMS
	#19	RDF stores

Score	2.02
Rank	#118	Overall
	#57	Relational DBMS

Score	0.24
Rank	#295	Overall
	#24	Graph DBMS
	#13	RDF stores

Website

www.bigchaindb.com

firebase.google.com/products/realtime-database

en.gstore.cn

en.oceanbase.com

www.oxfordsemantic.tech

Technical documentation

bigchaindb.readthedocs.io/en/latest

firebase.google.com/docs/database

en.gstore.cn/#/enDocs

en.oceanbase.com/docs/oceanbase-database

docs.oxfordsemantic.tech

Developer

Google

acquired by Google 2014

OceanBase

previously Alibaba and Ant Group

Oxford Semantic Technologies

Initial release

2016

2012

2016

2010

2017

Current release

1.2, November 2023

4.3.0, April 2024

6.0, Septermber 2022

License

Commercial or Open Source

Open Source

AGPL v3

commercial

Open Source

BSD

Open Source

Commercial license available

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.

Implementation language

Python

C++

Server operating systems

Linux

hosted

Linux

Linux
macOS
Windows

Data scheme

schema-free

schema-free and OWL/RDFS-schema support

yes

RDF schemas

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

CLI Client
RESTful HTTP API

Android
iOS
JavaScript API
RESTful HTTP API

HTTP API
SPARQL 1.1

JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API

RESTful HTTP API
SPARQL 1.1

Supported programming languages

Go
Haskell
Java
JavaScript
Python
Ruby

Java
JavaScript
Objective-C

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

Ada

in MySQL-compatible model
C

in Oracle- and MySQL- compatible models
C++

in Oracle- and MySQL- compatible models
D

in MySQL-compatible model
Delphi

in MySQL-compatible model
Eiffel

in MySQL-compatible model
Erlang

in MySQL-compatible model
Haskell

in MySQL-compatible model
Java

in Oracle- and MySQL- compatible models
JavaScript (Node.js)

in MySQL-compatible model
Objective-C

in MySQL-compatible model
OCaml

in MySQL-compatible model
Perl

in MySQL-compatible model
PHP

in MySQL-compatible model
Python

in MySQL-compatible model
Ruby

in MySQL-compatible model
Scheme

in MySQL-compatible model
Tcl

in MySQL-compatible model

C
Java

Server-side scripts

Stored procedures

limited functionality with using 'rules'

yes

PL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible mode

Triggers

Callbacks are triggered when data changes

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning (by hash, key, range, range columns, list, and list columns)

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Multi-source replication using Paxos

replication via a shared file system

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

if the client is offline
Immediate Consistency

if the client is online

Immediate Consistency

Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups

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,with MongoDB ord RethinkDB

yes

In-memory capabilities

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

yes

User concepts

Access control

yes

yes, based on authentication and database rules

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

Access rights for users, groups and roles according to SQL-standard

Roles, resources, and access types

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More resources

DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

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