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DBMS > Apache Druid vs. MonetDB vs. Teradata vs. Valentina Server

System Properties Comparison Apache Druid vs. MonetDB vs. Teradata vs. Valentina Server

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonMonetDB  Xexclude from comparisonTeradata  Xexclude from comparisonValentina Server  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 columnsA hybrid cloud data analytics software platform (Teradata Vantage)Object-relational database and reports server
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
Time Series 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
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitedruid.apache.orgwww.monetdb.orgwww.teradata.comwww.valentina-db.net
Technical documentationdruid.apache.org/­docs/­latest/­designwww.monetdb.org/­Documentationdocs.teradata.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software Foundation and contributorsMonetDB BVTeradataParadigma Software
Initial release2012200419841999
Current release29.0.1, April 2024Dec2023 (11.49), December 2023Teradata Vantage 1.0 MU2, January 20195.7.5
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoMozilla Public License 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC
Server operating systemsLinux
OS X
Unix
FreeBSD
Linux
OS X
Solaris
Windows
hosted
Linux
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes
Secondary indexesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLSQL for queryingyes infoSQL 2003 with some extensionsyes infoSQL 2016 + extensionsyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyes, in SQL, C, Ryes infoUDFs, stored procedures, table functions in parallelyes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding via remote tablesSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnone infoSource-replica replication available in experimental statusMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
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-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache DruidMonetDBTeradataValentina Server
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