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DBMS > Apache Pinot vs. EventStoreDB vs. RDF4J vs. SAP HANA

System Properties Comparison Apache Pinot vs. EventStoreDB vs. RDF4J vs. SAP HANA

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonEventStoreDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyIndustrial-strength, open-source database solution built from the ground up for event sourcing.RDF4J 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 modelRelational DBMSEvent StoreRDF storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.43
Rank#256  Overall
#121  Relational DBMS
Score0.97
Rank#186  Overall
#1  Event Stores
Score0.82
Rank#196  Overall
#9  RDF stores
Score51.82
Rank#22  Overall
#14  Relational DBMS
Websitepinot.apache.orgwww.eventstore.comrdf4j.orgwww.sap.com/­products/­hana.html
Technical documentationdocs.pinot.apache.orgdevelopers.eventstore.comrdf4j.org/­documentationhelp.sap.com/­hana
DeveloperApache Software Foundation and contributorsEvent Store LimitedSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.SAP
Initial release2015201220042010
Current release0.10.0, March 202221.2, February 20212.0 SPS05 (June 26, 2020), June 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen 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 languageJavaJava
Server operating systemsAll OS with a Java JDK11 or higherLinux
Windows
Linux
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.no
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languagenoyes
APIs and other access methodsJDBCJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
Supported programming languagesGo
Java
Python
Java
PHP
Python
Server-side scripts infoStored proceduresyesSQLScript, R
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes 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.yes
User concepts infoAccess controlnoyes

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More resources
Apache PinotEventStoreDBRDF4J infoformerly known as SesameSAP HANA
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