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DBMS > EXASOL vs. RDF4J vs. TDengine vs. TigerGraph

System Properties Comparison EXASOL vs. RDF4J vs. TDengine vs. TigerGraph

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTDengine  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Time Series DBMS and big data platformA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSRDF storeTime Series DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.exasol.comrdf4j.orggithub.com/­taosdata/­TDengine
tdengine.com
www.tigergraph.com
Technical documentationwww.exasol.com/­resourcesrdf4j.org/­documentationdocs.tdengine.comdocs.tigergraph.com
DeveloperExasolSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.TDEngine, previously Taos Data
Initial release2000200420192017
Current release3.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoAGPL V3, also commercial editions availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++
Server operating systemsLinux
OS X
Unix
Windows
Linux
Windows
Linux
Data schemeyesyes infoRDF Schemasyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLyesnoStandard SQL with extensions for time-series applicationsSQL-like query language (GSQL)
APIs and other access methods.Net
JDBC
ODBC
WebSocket
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
RESTful HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesJava
Lua
Python
R
Java
PHP
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C++
Java
Server-side scripts infoStored proceduresuser defined functionsyesnoyes
Triggersyesyesyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes 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.yesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardnoyesRole-based access control
More information provided by the system vendor
EXASOLRDF4J infoformerly known as SesameTDengineTigerGraph
Specific characteristicsTDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
EXASOLRDF4J infoformerly known as SesameTDengineTigerGraph
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