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DBMS > Atos Standard Common Repository vs. Databend vs. Microsoft Azure AI Search vs. RDF4J vs. SwayDB

System Properties Comparison Atos Standard Common Repository vs. Databend vs. Microsoft Azure AI Search vs. RDF4J vs. SwayDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabend  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRDF4J infoformerly known as Sesame  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 networksAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexitySearch-as-a-service for web and mobile app developmentRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.An 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 DBMSSearch engineRDF storeKey-value store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.04
Rank#387  Overall
#61  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­datafuselabs/­databend
www.databend.com
azure.microsoft.com/­en-us/­services/­searchrdf4j.orgswaydb.simer.au
Technical documentationdocs.databend.comlearn.microsoft.com/­en-us/­azure/­searchrdf4j.org/­documentation
DeveloperAtos Convergence CreatorsDatabend LabsMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Simer Plaha
Initial release20162021201520042018
Current release17031.0.59, April 2023V1
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRustJavaScala
Server operating systemsLinuxhosted
Linux
macOS
hostedLinux
OS X
Unix
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyesno
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 indexesyesnoyesyesno
SQL infoSupport of SQLnoyesnonono
APIs and other access methodsLDAPCLI Client
JDBC
RESTful HTTP API
RESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesAll languages with LDAP bindingsGo
Java
JavaScript (Node.js)
Python
Rust
C#
Java
JavaScript
Python
Java
PHP
Python
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnononoyesno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneSharding infoImplicit feature of the cloud servicenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes infoImplicit feature of the cloud servicenonenone
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesnoACID infoIsolation support depends on the API usedAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.yesnoyes
User concepts infoAccess controlLDAP bind authenticationUsers with fine-grained authorization concept, user rolesyes infousing Azure authenticationnono

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More resources
Atos Standard Common RepositoryDatabendMicrosoft Azure AI SearchRDF4J infoformerly known as SesameSwayDB
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