DBMS > 4D vs. AgensGraph vs. EsgynDB vs. OrientDB

System Properties Comparison 4D vs. AgensGraph vs. EsgynDB vs. OrientDB

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Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

Multi-model database supporting relational and graph data models and built upon PostgreSQL

Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion

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

Primary database model

Relational DBMS

Graph DBMS
Relational DBMS

Relational DBMS

Document store
Graph DBMS
Key-value store

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

Score	2.58
Rank	#108	Overall
	#54	Relational DBMS

Score	0.20
Rank	#321	Overall
	#27	Graph DBMS
	#143	Relational DBMS

Score	0.16
Rank	#329	Overall
	#146	Relational DBMS

Score	3.19
Rank	#93	Overall
	#16	Document stores
	#7	Graph DBMS
	#14	Key-value stores

Website

www.4d.com

bitnine.net/agensgraph

www.esgyn.cn

orientdb.org

Technical documentation

developer.4d.com

bitnine.net/documentation

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

Developer

4D, Inc

Bitnine Global Inc.

Esgyn

OrientDB LTD; CallidusCloud; SAP

Initial release

1984

2016

2015

2010

Current release

v20, April 2023

2.1, December 2018

3.2.29, March 2024

License

Commercial or Open Source

commercial

Open Source

Apache License 2.0

commercial

Open Source

Apache version 2

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++, Java

Java

Server operating systems

OS X
Windows

Linux
OS X
Windows

Linux

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

Data scheme

yes

depending on used data model

yes

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

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

close to SQL 92

yes

SQL-like query language, no joins

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

Cypher Query Language
JDBC

ADO.NET
JDBC
ODBC

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

Supported programming languages

4D proprietary IDE
PHP

C
Java
JavaScript
Python

All languages supporting JDBC/ODBC/ADO.Net

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

Server-side scripts

Stored procedures

yes

Java Stored Procedures

Java, Javascript

Triggers

yes

Hooks

Partitioning methods

Methods for storing different data on different nodes

none

no, but can be realized using table inheritance

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

Source-replica replication

Multi-source replication between multi datacenters

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

could be achieved with distributed queries

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

relationship in graphs

Transaction concepts

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

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 and groups

fine grained access rights according to SQL-standard

Access rights for users and roles; record level security configurable

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More resources

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Recent citations in the news

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29 June 2017, Business Wire

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29 January 2019, Business Wire

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25 March 2019, Business Wire

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