DBMS > GeoSpock vs. MonetDB vs. Oracle Rdb vs. SQLite

System Properties Comparison GeoSpock vs. MonetDB vs. Oracle Rdb vs. SQLite

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Editorial information provided by DB-Engines

Name

Description

Spatial and temporal data processing engine for extreme data scale

A relational database management system that stores data in columns

Widely used embeddable, in-process RDBMS

Primary database model

Relational DBMS

Secondary database models

Time Series DBMS

Document store
Spatial DBMS

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

Score	0.36
Rank	#311	Overall
	#141	Relational DBMS

Score	2.38
Rank	#131	Overall
	#64	Relational DBMS

Score	1.53
Rank	#171	Overall
	#83	Relational DBMS

Score	132.67
Rank	#9	Overall
	#6	Relational DBMS

Website

geospock.com

www.monetdb.org

www.oracle.com/technetwork/database/database-technologies/rdb/overview/index.html

www.sqlite.org

Technical documentation

docs.geospock.com/Content/Home.htm

www.monetdb.org/Documentation

www.sqlite.org/docs.html

Developer

GeoSpock

MonetDB BV

Oracle, originally developed by Digital Equipment Corporation (DEC)

Dwayne Richard Hipp

Initial release

2004

1984

2000

Current release

2.0, September 2019

Jul2021-SP2, July 2021

7.4.1.1, 2021

3.40.1 (28 December 2022), December 2022

License

Commercial or Open Source

commercial

Open Source

Mozilla Public License 2.0

commercial

Open Source

Public Domain

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java, Javascript

Server operating systems

hosted

FreeBSD
Linux
OS X
Solaris
Windows

HP Open VMS

server-less

Data scheme

yes

Flexible Schema (defined schema, partial schema, schema free)

yes

dynamic column types

Typing

predefined data types such as float or date

yes

not rigid because of 'dynamic typing' concept.

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

temporal, categorical

yes

SQL

Support of SQL

ANSI SQL for query only (using Presto)

yes

SQL 2003 with some extensions

yes

SQL-92 is not fully supported

APIs and other access methods

JDBC

JDBC
native C library

MAPI library (MonetDB application programming interface)
ODBC

ADO.NET

inofficial driver
JDBC

inofficial driver
ODBC

inofficial driver

Supported programming languages

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

Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl

Server-side scripts

Stored procedures

yes, in SQL, C, R

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Automatic sharding

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

yes, on a single node

ACID

Concurrency

Support for concurrent manipulation of data

yes

via file-system locks

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.

yes

User concepts

Access control

Access rights for users can be defined per table

fine grained access rights according to SQL-standard

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