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DBMS > Datomic vs. MonetDB vs. NSDb vs. RethinkDB

System Properties Comparison Datomic vs. MonetDB vs. NSDb vs. RethinkDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonMonetDB  Xexclude from comparisonNSDb  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA relational database management system that stores data in columnsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#124  Overall
#61  Relational DBMS
Score1.98
Rank#119  Overall
#58  Relational DBMS
Score0.00
Rank#348  Overall
#33  Time Series DBMS
Score3.19
Rank#94  Overall
#17  Document stores
Websitewww.datomic.comwww.monetdb.orgnsdb.iorethinkdb.com
Technical documentationdocs.datomic.comwww.monetdb.org/­Documentationnsdb.io/­Architecturerethinkdb.com/­docs
DeveloperCognitectMonetDB BVThe Linux Foundation infosince July 2017
Initial release2012200420172009
Current release0.9.5951, July 2019Oct2020-SP2, January 20212.4.1, August 2020
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureCJava, ScalaC++
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Linux
OS X
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes infostring, binary, float, bool, date, geometry
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.nonono
Secondary indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsSQL-like query languageno
APIs and other access methodsRESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
gRPC
HTTP REST
WebSocket
Supported programming languagesClojure
Java
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
Scala
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes, in SQL, C, Rno
TriggersBy using transaction functionsyesClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding via remote tablesShardingSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnone infoSource-replica replication available in experimental statusSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC based
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentno
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes infousers and table-level permissions
More information provided by the system vendor
DatomicMonetDBNSDbRethinkDB
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
» more

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DatomicMonetDBNSDbRethinkDB
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