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DBMS > Hive vs. InterSystems Caché vs. MonetDB vs. Sadas Engine vs. Trafodion

System Properties Comparison Hive vs. InterSystems Caché vs. MonetDB vs. Sadas Engine vs. Trafodion

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMonetDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonTrafodion  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA multi-model DBMS and application serverA relational database management system that stores data in columnsSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitehive.apache.orgwww.intersystems.com/­products/­cachewww.monetdb.orgwww.sadasengine.comtrafodion.apache.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.intersystems.comwww.monetdb.org/­Documentationwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationtrafodion.apache.org/­documentation.html
DeveloperApache Software Foundation infoinitially developed by FacebookInterSystemsMonetDB BVSADAS s.r.l.Apache Software Foundation, originally developed by HP
Initial release20121997200420062014
Current release3.1.3, April 20222018.1.4, May 2020Dec2023 (11.49), December 20238.02.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoMozilla Public License 2.0commercial infofree trial version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++C++, Java
Server operating systemsAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
AIX
Linux
Windows
Linux
Data schemeyesdepending on used data modelyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infoSQL 2003 with some extensionsyesyes
APIs and other access methodsJDBC
ODBC
Thrift
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
Proprietary protocol
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
C#
C++
Java
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesyes, in SQL, C, RnoJava Stored Procedures
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding via remote tableshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationnone infoSource-replica replication available in experimental statusnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
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.yesyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights for users, groups and rolesfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
HiveInterSystems CachéMonetDBSadas EngineTrafodion
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