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DBMS > EXASOL vs. GBase vs. HBase vs. Microsoft Azure Synapse Analytics vs. RDF4J

System Properties Comparison EXASOL vs. GBase vs. HBase vs. Microsoft Azure Synapse Analytics vs. RDF4J

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGBase  Xexclude from comparisonHBase  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Wide-column store based on Apache Hadoop and on concepts of BigTableElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSRelational DBMSWide column storeRelational DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websitewww.exasol.comwww.gbase.cnhbase.apache.orgazure.microsoft.com/­services/­synapse-analyticsrdf4j.org
Technical documentationwww.exasol.com/­resourceshbase.apache.org/­book.htmldocs.microsoft.com/­azure/­synapse-analyticsrdf4j.org/­documentation
DeveloperExasolGeneral Data Technology Co., Ltd.Apache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20002004200820162004
Current releaseGBase 8a, GBase 8s, GBase 8c2.3.4, January 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2commercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonJavaC++Java
Server operating systemsLinuxLinux
Unix
Windows infousing Cygwin
hostedLinux
OS X
Unix
Windows
Data schemeyesyesschema-free, schema definition possibleyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyesyes
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.noyesnono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesStandard with numerous extensionsnoyesno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
ADO.NET
C API
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJava
Lua
Python
R
C#C
C#
C++
Groovy
Java
PHP
Python
Scala
C#
Java
PHP
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsyes infoCoprocessors in JavaTransact SQLyes
Triggersyesyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDSingle row ACID (across millions of columns)ACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardyesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyesno

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More resources
EXASOLGBaseHBaseMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRDF4J infoformerly known as Sesame
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