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DBMS > Graph Engine vs. InterSystems IRIS vs. RDF4J vs. TimescaleDB vs. Transwarp Hippo

System Properties Comparison Graph Engine vs. InterSystems IRIS vs. RDF4J vs. TimescaleDB vs. Transwarp Hippo

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelGraph DBMS
Key-value store
Document store
Key-value store
Object oriented DBMS
Relational DBMS
RDF storeTime Series DBMSVector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score0.05
Rank#386  Overall
#14  Vector DBMS
Websitewww.graphengine.iowww.intersystems.com/­products/­intersystems-irisrdf4j.orgwww.timescale.comwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationwww.graphengine.io/­docs/­manualdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsrdf4j.org/­documentationdocs.timescale.com
DeveloperMicrosoftInterSystemsSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Timescale
Initial release20102018200420172023
Current release2023.3, June 20232.15.0, May 20241.0, May 2023
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CJavaCC++
Server operating systems.NETAIX
Linux
macOS
Ubuntu
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Linux
macOS
Data schemeyesdepending on used data modelyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesVector, Numeric and String
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.noyesyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyesnoyes infofull PostgreSQL SQL syntaxno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
Supported programming languagesC#
C++
F#
Visual Basic
.Net
C++
Java
JavaScript (Node.js)
Python
Java
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C++
Java
Python
Server-side scripts infoStored proceduresyesyesyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellno
Triggersnoyesyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneyes, across time and space (hash partitioning) attributesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoIsolation support depends on the API usedACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 storageyesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlyesnofine grained access rights according to SQL-standardRole based access control and fine grained access rights
More information provided by the system vendor
Graph Engine infoformer name: TrinityInterSystems IRISRDF4J infoformerly known as SesameTimescaleDBTranswarp Hippo
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
Graph Engine infoformer name: TrinityInterSystems IRISRDF4J infoformerly known as SesameTimescaleDBTranswarp Hippo
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