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DBMS > Citus vs. ObjectBox vs. OrientDB vs. Splice Machine

System Properties Comparison Citus vs. ObjectBox vs. OrientDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonObjectBox  Xexclude from comparisonOrientDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLExtremely fast embedded database for small devices, IoT and MobileMulti-model DBMS (Document, Graph, Key/Value)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSObject oriented DBMSDocument store
Graph DBMS
Key-value store
Relational DBMS
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.citusdata.comobjectbox.ioorientdb.orgsplicemachine.com
Technical documentationdocs.citusdata.comdocs.objectbox.iowww.orientdb.com/­docs/­last/­index.htmlsplicemachine.com/­how-it-works
DeveloperObjectBox LimitedOrientDB LTD; CallidusCloud; SAPSplice Machine
Initial release2010201720102014
Current release8.1, December 20183.2.29, March 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache License 2.0Open Source infoApache version 2Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC and C++JavaJava
Server operating systemsLinuxAndroid
iOS
Linux
macOS
Windows
All OS with a Java JDK (>= JDK 6)Linux
OS X
Solaris
Windows
Data schemeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
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.yes infospecific XML type available, but no XML query functionalitynono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoSQL-like query language, no joinsyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary native APITinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
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.noJava, Javascriptyes infoJava
TriggersyesnoHooksyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsonline/offline synchronization between client and serverMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocould be achieved with distributed queriesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes inforelationship in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesAccess rights for users and roles; record level security configurableAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
CitusObjectBoxOrientDBSplice Machine
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13 June 2023

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More resources
CitusObjectBoxOrientDBSplice Machine
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