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

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

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonHBase  Xexclude from comparisonjBASE  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.Wide-column store based on Apache Hadoop and on concepts of BigTableA robust multi-value DBMS comprising development tools and middlewareElastic, 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 DBMSWide column storeMultivalue DBMSRelational DBMSRDF store
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
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.exasol.comhbase.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaseazure.microsoft.com/­services/­synapse-analyticsrdf4j.org
Technical documentationwww.exasol.com/­resourceshbase.apache.org/­book.htmldocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.microsoft.com/­azure/­synapse-analyticsrdf4j.org/­documentation
DeveloperExasolApache Software Foundation infoApache top-level project, originally developed by PowersetRocket Software (formerly Zumasys)MicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20002008199120162004
Current release2.3.4, January 20215.7
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialcommercialOpen 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 languageJavaC++Java
Server operating systemsLinux
Unix
Windows infousing Cygwin
AIX
Linux
Windows
hostedLinux
OS X
Unix
Windows
Data schemeyesschema-free, schema definition possibleschema-freeyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROoptionalyesyes
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.nonoyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoEmbedded SQL for jBASE in BASICyesno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
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++
Groovy
Java
PHP
Python
Scala
.Net
Basic
Jabbascript
Java
C#
Java
PHP
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyes infoCoprocessors in JavayesTransact SQLyes
Triggersyesyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyesnone
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 Consistency
Foreign keys infoReferential integrityyesnonono 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 dataACIDSingle row ACID (across millions of columns)ACIDACIDACID 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.yesyesyes
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 can be defined down to the item levelyesno

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