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DBMS > MonetDB vs. Netezza vs. Newts vs. PostGIS vs. Quasardb

System Properties Comparison MonetDB vs. Netezza vs. Newts vs. PostGIS vs. Quasardb

Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonNewts  Xexclude from comparisonPostGIS  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionA relational database management system that stores data in columnsData warehouse and analytics appliance part of IBM PureSystemsTime Series DBMS based on CassandraSpatial extension of PostgreSQLDistributed, high-performance timeseries database
Primary database modelRelational DBMSRelational DBMSTime Series DBMSSpatial DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitewww.monetdb.orgwww.ibm.com/­products/­netezzaopennms.github.io/­newtspostgis.netquasar.ai
Technical documentationwww.monetdb.org/­Documentationgithub.com/­OpenNMS/­newts/­wikipostgis.net/­documentationdoc.quasar.ai/­master
DeveloperMonetDB BVIBMOpenNMS Groupquasardb
Initial release20042000201420052009
Current releaseDec2023 (11.49), December 20233.4.2, February 20243.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0commercialOpen Source infoApache 2.0Open Source infoGPL v2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaCC++
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux infoincluded in applianceLinux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infointeger and binary
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesno
Secondary indexesyesyesnoyesyes infowith tags
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsyesnoyesSQL-like query language
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
OLE DB
HTTP REST
Java API
HTTP API
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes, in SQL, C, Ryesnouser defined functionsno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablesShardingSharding infobased on Cassandrayes infobased on PostgreSQLSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusSource-replica replicationselectable replication factor infobased on Cassandrayes infobased on PostgreSQLSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptnoyes infobased on PostgreSQLCryptographically strong user authentication and audit trail

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More resources
MonetDBNetezza infoAlso called PureData System for Analytics by IBMNewtsPostGISQuasardb
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