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DBMS > EXASOL vs. HBase vs. openGauss vs. RDF4J vs. Stardog

System Properties Comparison EXASOL vs. HBase vs. openGauss vs. RDF4J vs. Stardog

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonHBase  Xexclude from comparisonopenGauss  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Wide-column store based on Apache Hadoop and on concepts of BigTableAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSWide column storeRelational DBMSRDF storeGraph DBMS
RDF store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.exasol.comhbase.apache.orggitee.com/­opengauss
opengauss.org
rdf4j.orgwww.stardog.com
Technical documentationwww.exasol.com/­resourceshbase.apache.org/­book.htmldocs.opengauss.org/­en
gitee.com/­opengauss/­docs
rdf4j.org/­documentationdocs.stardog.com
DeveloperExasolApache Software Foundation infoApache top-level project, originally developed by PowersetHuawei and openGauss communitySince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Stardog-Union
Initial release20002008201920042010
Current release2.3.4, January 20213.0, March 20227.3.0, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open SourceOpen Source infoEclipse Distribution License (EDL), v1.0.commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++, JavaJavaJava
Server operating systemsLinux
Unix
Windows infousing Cygwin
LinuxLinux
OS X
Unix
Windows
Linux
macOS
Windows
Data schemeyesschema-free, schema definition possibleyesyes infoRDF Schemasschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyesyes
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.nononono infoImport/export of XML data possible
Secondary indexesyesnoyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyesnoANSI SQL 2011noYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methods.Net
JDBC
ODBC
WebSocket
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesJava
Lua
Python
R
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C++
Java
Java
PHP
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyes infoCoprocessors in Javayesyesuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesyesyesyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by range, list and hash)nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnoneMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesnoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)ACIDACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and roles according to SQL-standardnoAccess rights for users and roles

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More resources
EXASOLHBaseopenGaussRDF4J infoformerly known as SesameStardog
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