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DBMS > Citus vs. ObjectBox vs. Quasardb vs. Splice Machine vs. ToroDB

System Properties Comparison Citus vs. ObjectBox vs. Quasardb vs. Splice Machine vs. ToroDB

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonObjectBox  Xexclude from comparisonQuasardb  Xexclude from comparisonSplice Machine  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB 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 PostgreSQLExtremely fast embedded database for small devices, IoT and MobileDistributed, high-performance timeseries databaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSObject oriented DBMSTime Series DBMSRelational DBMSDocument store
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
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.citusdata.comobjectbox.ioquasar.aisplicemachine.comgithub.com/­torodb/­server
Technical documentationdocs.citusdata.comdocs.objectbox.iodoc.quasar.ai/­mastersplicemachine.com/­how-it-works
DeveloperObjectBox LimitedquasardbSplice Machine8Kdata
Initial release20102017200920142016
Current release8.1, December 20183.14.1, January 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache License 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL 3.0, commercial license availableOpen Source infoAGPL-V3
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++C++JavaJava
Server operating systemsLinuxAndroid
iOS
Linux
macOS
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
All OS with a Java 7 VM
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyesyes infostring, integer, double, boolean, date, object_id
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 indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoSQL-like query languageyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary native APIHTTP APIJDBC
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++
Go
Java
JavaScript (Node.js)
PHP
Python
R
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.nonoyes infoJava
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoconsistent hashingShared Nothhing Auto-Sharding, Columnar PartitioningSharding
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 serverSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient modeyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesCryptographically strong user authentication and audit trailAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
CitusObjectBoxQuasardbSplice MachineToroDB
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