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DBMS > Graph Engine vs. Quasardb vs. SAP IQ vs. Titan

System Properties Comparison Graph Engine vs. Quasardb vs. SAP IQ vs. Titan

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonQuasardb  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  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.
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineDistributed, high-performance timeseries databaseColumnar RDBMS optimized for Big Data analyticsTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelGraph DBMS
Key-value store
Time Series DBMSRelational DBMS infocolumn-orientedGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score2.75
Rank#104  Overall
#53  Relational DBMS
Websitewww.graphengine.ioquasar.aiwww.sap.com/­products/­technology-platform/­sybase-iq-big-data-management.htmlgithub.com/­thinkaurelius/­titan
Technical documentationwww.graphengine.io/­docs/­manualdoc.quasar.ai/­masterhelp.sap.com/­docs/­SAP_IQgithub.com/­thinkaurelius/­titan/­wiki
DeveloperMicrosoftquasardbSAP, formerly SybaseAurelius, owned by DataStax
Initial release2010200919942012
Current release3.14.1, January 202416.1 SPS04, April 2019
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialOpen Source infoApache license, version 2.0
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 language.NET and CC++Java
Server operating systems.NETBSD
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyesyes
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.nonono
Secondary indexesyes infowith tagsyesyes
SQL infoSupport of SQLnoSQL-like query languageyesno
APIs and other access methodsRESTful HTTP APIHTTP APIADO.NET
JDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
C++
F#
Visual Basic
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C#
C++
Java
Perl
PHP
Python
Ruby
Clojure
Java
Python
Server-side scripts infoStored proceduresyesnoyesyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoconsistent hashingshared disk or shared nothing architectures with SAP IQ Multiplexeryes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factorSAP/Sybase Replication Serveryes
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationHadoop integrationyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes infoby using LevelDByesyes 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.yesyes infoTransient modeno
User concepts infoAccess controlCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Server

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More resources
Graph Engine infoformer name: TrinityQuasardbSAP IQ infoformer name: Sybase IQTitan
DB-Engines blog posts

Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
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