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DBMS > Citus vs. IRONdb vs. Oracle Rdb vs. Realm vs. Splice Machine

System Properties Comparison Citus vs. IRONdb vs. Oracle Rdb vs. Realm vs. Splice Machine

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonIRONdb  Xexclude from comparisonOracle Rdb  Xexclude from comparisonRealm  Xexclude from comparisonSplice Machine  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSTime Series DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.citusdata.comwww.circonus.com/solutions/time-series-database/www.oracle.com/­database/­technologies/­related/­rdb.htmlrealm.iosplicemachine.com
Technical documentationdocs.citusdata.comdocs.circonus.com/irondb/category/getting-startedwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlrealm.io/­docssplicemachine.com/­how-it-works
DeveloperCirconus LLC.Oracle, originally developed by Digital Equipment Corporation (DEC)Realm, acquired by MongoDB in May 2019Splice Machine
Initial release20102017198420142014
Current release8.1, December 2018V0.10.20, January 20187.4.1.1, 20213.1, March 2021
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialcommercialOpen SourceOpen Source infoAGPL 3.0, commercial license available
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 languageCC and C++Java
Server operating systemsLinuxLinuxHP Open VMSAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyesyes
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.yes infospecific XML type available, but no XML query functionalitynonono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like query language (Circonus Analytics Query Language: CAQL)yesnoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP APIJDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes, in Luano inforuns within the applications so server-side scripts are unnecessaryyes infoJava
Triggersyesnoyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodenoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsconfigurable replication factor, datacenter awarenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes, on a single nodeACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.nononoyes infoIn-Memory realmyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyesAccess rights for users, groups and roles according to SQL-standard

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More resources
CitusIRONdbOracle RdbRealmSplice Machine
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