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DBMS > Citus vs. Quasardb vs. TimescaleDB vs. TinkerGraph vs. Titan

System Properties Comparison Citus vs. Quasardb vs. TimescaleDB vs. TinkerGraph vs. Titan

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonQuasardb  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTinkerGraph  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLDistributed, high-performance timeseries databaseA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APITitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSGraph DBMSGraph DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.13
Rank#117  Overall
#56  Relational DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Score0.08
Rank#345  Overall
#34  Graph DBMS
Websitewww.citusdata.comquasar.aiwww.timescale.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlingithub.com/­thinkaurelius/­titan
Technical documentationdocs.citusdata.comdoc.quasar.ai/­masterdocs.timescale.comgithub.com/­thinkaurelius/­titan/­wiki
DeveloperquasardbTimescaleAurelius, owned by DataStax
Initial release20102009201720092012
Current release8.1, December 20183.14.1, January 20242.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache license, version 2.0
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++CJavaJava
Server operating systemsLinuxBSD
Linux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infointeger and binarynumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyesyes
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 functionalitynoyesno
Secondary indexesyesyes infowith tagsyesnoyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like query languageyes infofull PostgreSQL SQL syntaxnono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
TinkerPop 3Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Groovy
Java
Clojure
Java
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellnoyes
Triggersyesnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingyes, across time and space (hash partitioning) attributesnoneyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication with selectable replication factorSource-replica replication with hot standby and reads on replicas infononeyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnonoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencynoneEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesyes infoRelationships in graphsyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesoptionalyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modenoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standardnoUser authentification and security via Rexster Graph Server

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More resources
CitusQuasardbTimescaleDBTinkerGraphTitan
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