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DBMS > Citus vs. JaguarDB vs. TinkerGraph vs. Trafodion vs. Vitess

System Properties Comparison Citus vs. JaguarDB vs. TinkerGraph vs. Trafodion vs. Vitess

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonJaguarDB  Xexclude from comparisonTinkerGraph  Xexclude from comparisonTrafodion  Xexclude from comparisonVitess  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLPerformant, highly scalable DBMS for AI and IoT applicationsA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APITransactional SQL-on-Hadoop DBMSScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSKey-value store
Vector DBMS
Graph DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.citusdata.comwww.jaguardb.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlintrafodion.apache.orgvitess.io
Technical documentationdocs.citusdata.comwww.jaguardb.com/­support.htmltrafodion.apache.org/­documentation.htmlvitess.io/­docs
DeveloperDataJaguar, Inc.Apache Software Foundation, originally developed by HPThe Linux Foundation, PlanetScale
Initial release20102015200920142013
Current release8.1, December 20183.3 July 20232.3.0, February 201915.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoGPL V3.0Open Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++ infothe server part. Clients available in other languagesJavaC++, JavaGo
Server operating systemsLinuxLinuxLinuxDocker
Linux
macOS
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesnoyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoyesyes infowith proprietary extensions
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
TinkerPop 3ADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Groovy
Java
All languages supporting JDBC/ODBC/ADO.NetAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nonoJava Stored Proceduresyes infoproprietary syntax
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replicationnoneyes, via HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencynoneImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesoptionalyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsnofine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
CitusJaguarDBTinkerGraphTrafodionVitess
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