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DBMS > EventStoreDB vs. Impala vs. RDF4J vs. SAP HANA

System Properties Comparison EventStoreDB vs. Impala vs. RDF4J vs. SAP HANA

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonImpala  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Analytic DBMS for HadoopRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.In-memory, column based data store. Available as appliance or cloud service
Primary database modelEvent StoreRelational DBMSRDF storeRelational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.92
Rank#181  Overall
#1  Event Stores
Score18.03
Rank#40  Overall
#25  Relational DBMS
Score0.73
Rank#204  Overall
#9  RDF stores
Score55.09
Rank#21  Overall
#13  Relational DBMS
Websitewww.eventstore.comwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlrdf4j.orgwww.sap.com/­products/­hana.html
Technical documentationdevelopers.eventstore.comdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlrdf4j.org/­documentationhelp.sap.com/­hana
DeveloperEvent Store LimitedClouderaSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.SAP
Initial release2012201320042010
Current release21.2, February 20214.0.0, July 20212.0 SPS05 (June 26, 2020), June 2020
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2Open Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenononono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsLinux
Windows
LinuxLinux
OS X
Unix
Windows
Appliance or cloud-service
Data schemeyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCJava
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesSQLScript, R
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes 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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnoyes

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More resources
EventStoreDBImpalaRDF4J infoformerly known as SesameSAP HANA
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