DBMS > DataFS vs. JSqlDb vs. MonetDB vs. Yanza

System Properties Comparison DataFS vs. JSqlDb vs. MonetDB vs. Yanza

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Editorial information provided by DB-Engines

Name

JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.

Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.

JavaScript Query Language Database, stores JavaScript objects and primitives

A relational database management system that stores data in columns

Time Series DBMS for IoT Applications

Primary database model

Object oriented DBMS

Document store
Object oriented DBMS

Relational DBMS

Time Series DBMS

Secondary database models

Graph DBMS

Document store
Spatial DBMS

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

Score	0.09
Rank	#360	Overall
	#17	Object oriented DBMS

Score	1.72
Rank	#141	Overall
	#64	Relational DBMS

Website

newdatabase.com

jsqldb.org (offline)

www.monetdb.org

yanza.com

Technical documentation

dev.mobiland.com/Overview.xsp

www.monetdb.org/Documentation

Developer

Mobiland AG

Konrad von Backstrom

MonetDB BV

Yanza

Initial release

2018

2004

2015

Current release

1.1.263, October 2022

0.8, December 2018

Dec2023 (11.49), December 2023

License

Commercial or Open Source

commercial

Open Source

Mozilla Public License 2.0

commercial

free version available

Cloud-based only

Only available as a cloud service

but mainly used as a service provided by Yanza

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Server operating systems

Windows

Linux
macOS
Windows

FreeBSD
Linux
OS X
Solaris
Windows

Windows

Data scheme

Classes, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)

schema-free

yes

schema-free

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

yes

SQL 2003 with some extensions

APIs and other access methods

.NET Client API
Proprietary client DLL
WinRT client

JDBC
native C library

MAPI library (MonetDB application programming interface)
ODBC

HTTP API

Supported programming languages

.Net
C
C#
C++
VB.Net

JavaScript

C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby

any language that supports HTTP calls

Server-side scripts

Stored procedures

functions in JavaScript

yes, in SQL, C, R

Triggers

no, except callback-events from server when changes happened

yes

Timer and event based

Partitioning methods

Methods for storing different data on different nodes

Proprietary Sharding system

none

Sharding via remote tables

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication available in experimental status

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

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

using RocksDB

yes

In-memory capabilities

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

User concepts

Access control

Windows-Profile

fine grained access rights according to SQL-standard

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More resources

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