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

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

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

An enterprise grade, high-performance RDBMS

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

Document store
Object oriented DBMS

RDF store

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

Score	0.55
Rank	#230	Overall
	#35	Document stores
	#111	Relational DBMS

Score	0.95
Rank	#180	Overall
	#88	Relational DBMS

Score	0.00
Rank	#354	Overall
	#50	Document stores
	#20	Object oriented DBMS

Score	0.73
Rank	#204	Overall
	#9	RDF stores

Website

Technical documentation

github.com/agershun/alasql

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

origodb.com/docs

rdf4j.org/documentation

Developer

Andrey Gershun & Mathias R. Wulff

Altibase

Robert Friberg et al

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

Initial release

2014

1999

2009

under the name LiveDB

2004

Current release

v7.1.0.5.3, March 2021

License

Commercial or Open Source

Open Source

MIT-License

Open Source

since February 2018

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
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

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

.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

.Net

Java
PHP
Python

Server-side scripts

Stored procedures

stored procedures and stored functions

yes

Triggers

yes

Domain Events

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

horizontal partitioning

client side managed; servers are not synchronized

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

yes

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

Role based authorization

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More resources

Recent citations in the news

Meet AlaSQL, a speedy SQL database for JavaScript
15 January 2019, JAXenter

provided by Google News

In-memory OLAP Database Market Biggest Innovation with Top Key Players -Altibase, IBM, Microsoft, Oracle, SAP SE, Exasol, Jedox AG, Kognitio, Mcobject, MemSQL, MicroStrategy, SAS Institute, Teradata, Terracotta – The Daily Vale
22 May 2022, The Daily Vale

In-Memory Computing Market Size And Forecast | IBM, Oracle, SAP, Altibase, Giga Spaces, Grid Gain Systems, Hazelcast, Microsoft, Software AG, ScaleOut Software – The Daily Vale
24 May 2022, The Daily Vale

Open-source DBMS becoming battleground of public cloud
17 May 2022, Etnews

Altibase is Adopted for Presence Service to Provide User Information and Online Presence
8 April 2019, PR Newswire

In-memory Computing Industry (2021 – 2026) – Market Trajectory & Analytics | Microsoft Corporation, Oracle Cprporation, SAP SE, IBM Corporation, TIBCO Software Inc., Intel Corporation – The Daily Vale
20 May 2022, The Daily Vale

provided by Google News

GraphDB 9.5 Offers Data Virtualization From Tables to Graphs and Back
9 December 2020, PR Newswire

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