DBMS > EsgynDB vs. MonetDB

System Properties Comparison EsgynDB vs. MonetDB

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Editorial information provided by DB-Engines

Name

Description

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

A relational database management system that stores data in columns

Primary database model

Relational DBMS

Secondary database models

Document store
Spatial DBMS

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Score	0.22
Rank	#347	Overall
	#150	Relational DBMS

Score	2.20
Rank	#143	Overall
	#67	Relational DBMS

Website

www.esgyn.cn

www.monetdb.org

Technical documentation

www.monetdb.org/Documentation

Developer

Esgyn

MonetDB BV

Initial release

2015

2004

Current release

Jul2021-SP2, July 2021

License

Commercial or Open Source

commercial

Open Source

Mozilla Public License 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++, Java

Server operating systems

Linux

FreeBSD
Linux
OS X
Solaris
Windows

Data scheme

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

yes

SQL 2003 with some extensions

APIs and other access methods

ADO.NET
JDBC
ODBC

JDBC
native C library

MAPI library (MonetDB application programming interface)
ODBC

Supported programming languages

All languages supporting JDBC/ODBC/ADO.Net

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

Server-side scripts

Stored procedures

Java Stored Procedures

yes, in SQL, C, R

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Sharding via remote tables

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication between multi datacenters

none

Source-replica replication available in experimental status

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

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

In-memory capabilities

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

User concepts

Access control

fine grained access rights according to SQL-standard

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More resources

Recent citations in the news

Mphasis partners with Esgyn Corporation to provide specialized solutions to clients looking to harness big...
28 May 2019, Moneycontrol

provided by Google News

News MonetDB Solutions secures investment from ServiceNow
30 September 2019, Centrum Wiskunde & Informatica (CWI)

Q&A: The Revival of the Column-Oriented Database | Transforming Data with Intelligence
19 August 2022, TDWI

News In Memoriam Martin Kersten
12 July 2022, Centrum Wiskunde & Informatica (CWI)

International innovation award to Martin Kersten
24 June 2014, Centrum Wiskunde & Informatica (CWI)

Veni grant for Big Data research
26 July 2012, Centrum Wiskunde & Informatica (CWI)

provided by Google News

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