DBMS > AlaSQL vs. Altibase vs. HugeGraph vs. OrigoDB vs. RDF4J

System Properties Comparison AlaSQL vs. Altibase vs. HugeGraph vs. OrigoDB vs. RDF4J

Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

An enterprise grade, high-performance RDBMS

A fast-speed and highly-scalable Graph DBMS

A fully ACID in-memory object graph database

RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.

Primary database model

Document store
Relational DBMS

Relational DBMS

Graph DBMS

Document store
Object oriented DBMS

RDF store

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

Score	0.49
Rank	#259	Overall
	#40	Document stores
	#120	Relational DBMS

Score	1.00
Rank	#194	Overall
	#91	Relational DBMS

Score	0.15
Rank	#339	Overall
	#33	Graph DBMS

Score	0.03
Rank	#378	Overall
	#51	Document stores
	#18	Object oriented DBMS

Score	0.71
Rank	#231	Overall
	#9	RDF stores

Website

alasql.org

altibase.com

github.com/hugegraph
hugegraph.apache.org

origodb.com

rdf4j.org

Technical documentation

github.com/AlaSQL/alasql

github.com/ALTIBASE/Documents/tree/master/Manuals

hugegraph.apache.org/docs

origodb.com/docs

rdf4j.org/documentation

Developer

Andrey Gershun & Mathias R. Wulff

Altibase

Baidu

Robert Friberg et al

Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.

Initial release

2014

1999

2018

2009

under the name LiveDB

2004

Current release

v7.3, 2023, August 2023

0.9

License

Commercial or Open Source

Open Source

MIT-License

commercial

Open source edition discontinued with March 2023

Open Source

Apache Version 2.0

Open Source

Eclipse Distribution License (EDL), v1.0.

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

JavaScript

C++

Java

Server operating systems

server-less, requires a JavaScript environment (browser, Node.js)

AIX
HP-UX
Linux

Linux
macOS
Unix

Linux
Windows

Linux
OS X
Unix
Windows

Data scheme

schema-free

yes

RDF Schemas

Typing

predefined data types such as float or date

yes

User defined using .NET types and collections

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.

can be achieved using .NET

Secondary indexes

yes

also supports composite index and range index

yes

SQL

Support of SQL

Close to SQL99, but no user access control, stored procedures and host language bindings.

ANSI SQL-92

APIs and other access methods

JavaScript API

JDBC
ODBC
Proprietary protocol

Java API
RESTful HTTP API
TinkerPop Gremlin

.NET Client API
HTTP API
LINQ

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

Supported programming languages

JavaScript

C
C++
Java

Groovy
Java
Python

.Net

Java
PHP
Python

Server-side scripts

Stored procedures

stored procedures and stored functions

asynchronous Gremlin script jobs

yes

Triggers

yes

Domain Events

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

yes

depending on used storage backend, e.g. Cassandra and HBase

horizontal partitioning

client side managed; servers are not synchronized

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

depending on used storage backend, e.g. Cassandra and HBase

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

via hugegraph-spark

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

edges in graph

depending on model

Transaction concepts

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

yes

only for local storage and DOM-storage

ACID

Isolation support depends on the API used

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

yes

Write ahead log

yes

in-memory storage is supported as well

In-memory capabilities

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

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Users, roles and permissions

Role based authorization

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