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DBMS > Citus vs. Datastax Enterprise vs. Titan vs. UniData,UniVerse

System Properties Comparison Citus vs. Datastax Enterprise vs. Titan vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonTitan  Xexclude from comparisonUniData,UniVerse  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 PostgreSQLDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Titan is a Graph DBMS optimized for distributed clusters.MultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSWide column storeGraph DBMSMultivalue DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.27
Rank#149  Overall
#73  Relational DBMS
Score8.43
Rank#49  Overall
#4  Wide column stores
Score4.17
Rank#81  Overall
#2  Multivalue DBMS
Websitewww.citusdata.comwww.datastax.com/­products/­datastax-enterprisetitan.thinkaurelius.comwww.rocketsoftware.com/­products/­rocket-u2
Technical documentationdocs.citusdata.comdocs.datastax.comgithub.com/­thinkaurelius/­titan/­wikiwww.rocketsoftware.com/­products/­rocket-u2/­documentation
DeveloperDataStaxAurelius, owned by DataStaxRocket Software
Initial release2010201120121985
Current release8.1, December 20186.8, April 2020
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialOpen Source infoApache license, version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaJavaC
Server operating systemsLinuxLinux
OS X
Linux
OS X
Unix
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesoptional
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 functionalityno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like DML and DDL statements (CQL); Spark SQLnoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
Python
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyesyes
Triggersyesyesyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"yes infovia pluggable storage backendsnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsconfigurable replication factor, datacenter aware, advanced replication for edge computingyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per objectUser authentification and security via Rexster Graph ServerAccess rights according to SQL-standard and operating system based
More information provided by the system vendor
CitusDatastax EnterpriseTitanUniData,UniVerse
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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CitusDatastax EnterpriseTitanUniData,UniVerse
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