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DBMS > OrigoDB vs. Stardog vs. TimescaleDB vs. Yanza

System Properties Comparison OrigoDB vs. Stardog vs. TimescaleDB vs. Yanza

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Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonStardog  Xexclude from comparisonTimescaleDB  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA fully ACID in-memory object graph databaseEnterprise 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 PostgreSQLTime Series DBMS for IoT Applications
Primary database modelDocument store
Object oriented DBMS
Graph DBMS
RDF store
Time Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#379  Overall
#51  Document stores
#18  Object oriented DBMS
Score2.03
Rank#136  Overall
#12  Graph DBMS
#6  RDF stores
Score5.33
Rank#72  Overall
#4  Time Series DBMS
Websiteorigodb.comwww.stardog.comwww.timescale.comyanza.com
Technical documentationorigodb.com/­docsdocs.stardog.comdocs.timescale.com
DeveloperRobert Friberg et alStardog-UnionTimescaleYanza
Initial release2009 infounder the name LiveDB201020172015
Current release7.3.0, May 20202.13.0, November 2023
License infoCommercial or Open SourceOpen Sourcecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono 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#JavaC
Server operating systemsLinux
Windows
Linux
macOS
Windows
Linux
OS X
Windows
Windows
Data schemeyesschema-free and OWL/RDFS-schema supportyesschema-free
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesno
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.no infocan be achieved using .NETno infoImport/export of XML data possibleyesno
Secondary indexesyesyes infosupports real-time indexing in full-text and geospatialyesno
SQL infoSupport of SQLnoYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes infofull PostgreSQL SQL syntaxno
APIs and other access methods.NET Client API
HTTP API
LINQ
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
HTTP API
Supported programming languages.Net.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
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 shellno
Triggersyes infoDomain Eventsyes infovia event handlersyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizednoneyes, across time and space (hash partitioning) attributesnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication in HA-ClusterSource-replica replication with hot standby and reads on replicas infonone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in HA-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritydepending on modelyes inforelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoWrite ahead logyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlRole based authorizationAccess rights for users and rolesfine grained access rights according to SQL-standardno

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More resources
OrigoDBStardogTimescaleDBYanza
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