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DBMS > MonetDB vs. OrigoDB vs. SWC-DB vs. XTDB vs. Yanza

System Properties Comparison MonetDB vs. OrigoDB vs. SWC-DB vs. XTDB vs. Yanza

Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA relational database management system that stores data in columnsA fully ACID in-memory object graph databaseA high performance, scalable Wide Column DBMSA general purpose database with bitemporal SQL and Datalog and graph queriesTime Series DBMS for IoT Applications
Primary database modelRelational DBMSDocument store
Object oriented DBMS
Wide column storeDocument storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Score0.18
Rank#332  Overall
#46  Document stores
Websitewww.monetdb.orgorigodb.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
github.com/­xtdb/­xtdb
www.xtdb.com
yanza.com
Technical documentationwww.monetdb.org/­Documentationorigodb.com/­docswww.xtdb.com/­docs
DeveloperMonetDB BVRobert Friberg et alAlex KashirinJuxt Ltd.Yanza
Initial release20042009 infounder the name LiveDB202020192015
Current releaseDec2023 (11.49), December 20230.5, April 20211.19, September 2021
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0Open SourceOpen Source infoGPL V3Open Source infoMIT Licensecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC#C++Clojure
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux
Windows
LinuxAll OS with a Java 8 (and higher) VM
Linux
Windows
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyes, extensible-data-notation formatno
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.no infocan be achieved using .NETnonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsnoSQL-like query languagelimited SQL, making use of Apache Calciteno
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
.NET Client API
HTTP API
LINQ
Proprietary protocol
Thrift
HTTP REST
JDBC
HTTP API
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.NetC++Clojure
Java
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes, in SQL, C, Ryesnonono
Triggersyesyes infoDomain Eventsnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tableshorizontal partitioning infoclient side managed; servers are not synchronizedShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusSource-replica replicationyes, each node contains all datanone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesdepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based authorizationno

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More resources
MonetDBOrigoDBSWC-DB infoSuper Wide Column DatabaseXTDB infoformerly named CruxYanza
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