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DBMS > ITTIA vs. Stardog vs. TimescaleDB vs. Titan vs. Yanza

System Properties Comparison ITTIA vs. Stardog vs. TimescaleDB vs. Titan vs. Yanza

Editorial information provided by DB-Engines
NameITTIA  Xexclude from comparisonStardog  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTitan  Xexclude from comparisonYanza  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.Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionEdge Time Series DBMS with Real-Time Stream ProcessingEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLTitan is a Graph DBMS optimized for distributed clusters.Time Series DBMS for IoT Applications
Primary database modelTime Series DBMSGraph DBMS
RDF store
Time Series DBMSGraph DBMSTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#273  Overall
#24  Time Series DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitewww.ittia.comwww.stardog.comwww.timescale.comgithub.com/­thinkaurelius/­titanyanza.com
Technical documentationdocs.stardog.comdocs.timescale.comgithub.com/­thinkaurelius/­titan/­wiki
DeveloperITTIA L.L.C.Stardog-UnionTimescaleAurelius, owned by DataStaxYanza
Initial release20072010201720122015
Current release8.77.3.0, May 20202.15.0, May 2024
License infoCommercial or Open Sourcecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache 2.0Open Source infoApache license, version 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaCJava
Server operating systemsLinux
Windows
Linux
macOS
Windows
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Windows
Data schemeFixed schemaschema-free and OWL/RDFS-schema supportyesyesschema-free
Typing infopredefined data types such as float or dateFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyesno
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.nono infoImport/export of XML data possibleyesno
Secondary indexesyesyes infosupports real-time indexing in full-text and geospatialyesyesno
SQL infoSupport of SQLyesYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes infofull PostgreSQL SQL syntaxnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
WebSocket
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
HTTP API
Supported programming languagesC
C++
JavaScript (Node.js)
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Clojure
Java
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresyesuser defined functions and aggregates, HTTP Server extensions in Javauser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellyesno
Triggersnoyes infovia event handlersyesyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneyes, across time and space (hash partitioning) attributesyes infovia pluggable storage backendsnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication in HA-ClusterSource-replica replication with hot standby and reads on replicas infoyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in HA-ClusterImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes inforelationships in graphsyesyes infoRelationships in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.yesyesno
User concepts infoAccess controlDatabase file passwordsAccess rights for users and rolesfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Serverno

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More resources
ITTIAStardogTimescaleDBTitanYanza
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