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DBMS > Atos Standard Common Repository vs. Microsoft Azure SQL Database vs. RDF4J vs. Sphinx vs. SwayDB

System Properties Comparison Atos Standard Common Repository vs. Microsoft Azure SQL Database vs. RDF4J vs. Sphinx vs. SwayDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSphinx  Xexclude from comparisonSwayDB  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 networksDatabase as a Service offering with high compatibility to Microsoft SQL ServerRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Open source search engine for searching in data from different sources, e.g. relational databasesAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument store
Key-value store
Relational DBMSRDF storeSearch engineKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score5.98
Rank#56  Overall
#5  Search engines
Score0.00
Rank#382  Overall
#59  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryazure.microsoft.com/­en-us/­products/­azure-sql/­databaserdf4j.orgsphinxsearch.comswaydb.simer.au
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqlrdf4j.org/­documentationsphinxsearch.com/­docs
DeveloperAtos Convergence CreatorsMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Sphinx Technologies Inc.Simer Plaha
Initial release20162010200420012018
Current release1703V123.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGPL version 2, commercial licence availableOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaC++Scala
Server operating systemsLinuxhostedLinux
OS X
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsyesyes infoRDF Schemasyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyesnono
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.yesyesno
Secondary indexesyesyesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnoyesnoSQL-like query language (SphinxQL)no
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
Proprietary protocol
Supported programming languagesAll languages with LDAP bindings.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnoTransact SQLyesnono
Triggersyesyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, with always 3 replicas availablenonenonenone
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 integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID infoIsolation support depends on the API usednoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes infoThe original contents of fields are not stored in the Sphinx index.yes
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 authenticationfine grained access rights according to SQL-standardnonono

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More resources
Atos Standard Common RepositoryMicrosoft Azure SQL Database infoformerly SQL AzureRDF4J infoformerly known as SesameSphinxSwayDB
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