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DBMS > Apache Druid vs. MonetDB vs. Netezza vs. Oracle NoSQL vs. Postgres-XL

System Properties Comparison Apache Druid vs. MonetDB vs. Netezza vs. Oracle NoSQL vs. Postgres-XL

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonMonetDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA relational database management system that stores data in columnsData warehouse and analytics appliance part of IBM PureSystemsA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSDocument store
Key-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitedruid.apache.orgwww.monetdb.orgwww.ibm.com/­products/­netezzawww.oracle.com/­database/­nosql/­technologies/­nosqlwww.postgres-xl.org
Technical documentationdruid.apache.org/­docs/­latest/­designwww.monetdb.org/­Documentationdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlwww.postgres-xl.org/­documentation
DeveloperApache Software Foundation and contributorsMonetDB BVIBMOracle
Initial release20122004200020112014 infosince 2012, originally named StormDB
Current release29.0.1, April 2024Dec2023 (11.49), December 202323.3, December 202310 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoMozilla Public License 2.0commercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJavaC
Server operating systemsLinux
OS X
Unix
FreeBSD
Linux
OS X
Solaris
Windows
Linux infoincluded in applianceLinux
Solaris SPARC/x86
Linux
macOS
Data schemeyes infoschema-less columns are supportedyesyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yes
Typing infopredefined data types such as float or dateyesyesyesoptionalyes
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.nonoyes infoXML type, but no XML query functionality
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL for queryingyes infoSQL 2003 with some extensionsyesSQL-like DML and DDL statementsyes infodistributed, parallel query execution
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
OLE DB
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C#
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyes, in SQL, C, Ryesnouser defined functions
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding via remote tablesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnone infoSource-replica replication available in experimental statusSource-replica replicationElectable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyeswith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Immediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDconfigurable infoACID within a storage node (=shard)ACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infooff heap cacheno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Apache DruidMonetDBNetezza infoAlso called PureData System for Analytics by IBMOracle NoSQLPostgres-XL
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