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DBMS > Atos Standard Common Repository vs. EventStoreDB vs. Microsoft Azure Synapse Analytics vs. RDF4J vs. SAP HANA

System Properties Comparison Atos Standard Common Repository vs. EventStoreDB vs. Microsoft Azure Synapse Analytics vs. RDF4J vs. SAP HANA

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonEventStoreDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSAP HANA  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksIndustrial-strength, open-source database solution built from the ground up for event sourcing.Elastic, 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.In-memory, column based data store. Available as appliance or cloud service
Primary database modelDocument store
Key-value store
Event StoreRelational DBMSRDF 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
Score1.10
Rank#179  Overall
#1  Event Stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score44.69
Rank#22  Overall
#16  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.eventstore.comazure.microsoft.com/­services/­synapse-analyticsrdf4j.orgwww.sap.com/­products/­hana.html
Technical documentationdevelopers.eventstore.comdocs.microsoft.com/­azure/­synapse-analyticsrdf4j.org/­documentationhelp.sap.com/­hana
DeveloperAtos Convergence CreatorsEvent Store LimitedMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.SAP
Initial release20162012201620042010
Current release170321.2, February 20212.0 SPS07 (AprilĀ 4, 2023), April 2023
License infoCommercial or Open SourcecommercialOpen SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java
Server operating systemsLinuxLinux
Windows
hostedLinux
OS X
Unix
Windows
Appliance or cloud-service
Data schemeSchema and schema-less with LDAP viewsyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateoptionalyesyesyes
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.yesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsLDAPADO.NET
JDBC
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 with LDAP bindingsC#
Java
PHP
Java
PHP
Python
Server-side scripts infoStored proceduresnoTransact SQLyesSQLScript, R
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding, horizontal partitioningnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.yesyes
User concepts infoAccess controlLDAP bind authenticationyesnoyes

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More resources
Atos Standard Common RepositoryEventStoreDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRDF4J infoformerly known as SesameSAP HANA
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