DBMS > AlaSQL vs. H2 vs. OushuDB vs. TerminusDB

System Properties Comparison AlaSQL vs. H2 vs. OushuDB vs. TerminusDB

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

Primary database model

Document store
Relational DBMS

Relational DBMS

Graph DBMS

Secondary database models

Spatial DBMS

Document store
RDF store

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

Score	0.51
Rank	#256	Overall
	#40	Document stores
	#118	Relational DBMS

Score	8.33
Rank	#46	Overall
	#30	Relational DBMS

Score	0.10
Rank	#355	Overall
	#154	Relational DBMS

Score	0.23
Rank	#316	Overall
	#27	Graph DBMS

Website

alasql.org

www.h2database.com

www.oushu.com/product/oushuDB

terminusdb.com

Technical documentation

github.com/AlaSQL/alasql

www.h2database.com/html/main.html

www.oushu.com/documentation

terminusdb.github.io/terminusdb/#

Developer

Andrey Gershun & Mathias R. Wulff

Thomas Mueller

Oushu

DataChemist Ltd.

Initial release

2014

2005

2018

Current release

2.2.220, July 2023

4.0.1, August 2020

11.0.0, January 2023

License

Commercial or Open Source

Open Source

MIT-License

Open Source

dual-licence (Mozilla public license, Eclipse public license)

commercial

Open Source

GPL V3

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

Java

Prolog, Rust

Server operating systems

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

All OS with a Java VM

Linux

Data scheme

schema-free

yes

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.

Secondary indexes

yes

SQL

Support of SQL

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

yes

Full-featured ANSI SQL support

SQL-like query language (WOQL)

APIs and other access methods

JavaScript API

JDBC
ODBC

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

Supported programming languages

JavaScript

Java

C
C++

JavaScript
Python

Server-side scripts

Stored procedures

Java Stored Procedures and User-Defined Functions

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

yes

Graph Partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

With clustering: 2 database servers on different computers operate on identical copies of a database

Journaling Streams

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

only for local storage and DOM-storage

ACID

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

yes

in-memory journaling

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

Kerberos, SSL and role based access

Role-based access control

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