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DBMS > Atos Standard Common Repository vs. BigchainDB vs. H2 vs. Microsoft Azure Synapse Analytics vs. RDF4J

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. H2 vs. Microsoft Azure Synapse Analytics vs. RDF4J

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonH2  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRDF4J infoformerly known as Sesame  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 networksBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.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.
Primary database modelDocument store
Key-value store
Document storeRelational DBMSRelational DBMSRDF store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comwww.h2database.comazure.microsoft.com/­services/­synapse-analyticsrdf4j.org
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.h2database.com/­html/­main.htmldocs.microsoft.com/­azure/­synapse-analyticsrdf4j.org/­documentation
DeveloperAtos Convergence CreatorsThomas MuellerMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20162016200520162004
Current release17032.2.220, July 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infodual-licence (Mozilla public license, Eclipse public license)commercialOpen 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 languageJavaPythonJavaC++Java
Server operating systemsLinuxLinuxAll OS with a Java VMhostedLinux
OS X
Unix
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateoptionalnoyesyesyes
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.yesnonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoyesyesno
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
JavaC#
Java
PHP
Java
PHP
Python
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined FunctionsTransact SQLyes
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnoneSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorWith clustering: 2 database servers on different computers operate on identical copies of a databaseyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno 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 dataAtomic execution of specific operationsACIDACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes 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 controlLDAP bind authenticationyesfine grained access rights according to SQL-standardyesno

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More resources
Atos Standard Common RepositoryBigchainDBH2Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRDF4J infoformerly known as Sesame
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