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DBMS > Atos Standard Common Repository vs. BigchainDB vs. H2 vs. Microsoft Azure Data Explorer vs. Weaviate

Vergleich der Systemeigenschaften Atos Standard Common Repository vs. BigchainDB vs. H2 vs. Microsoft Azure Data Explorer vs. Weaviate

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAtos Standard Common Repository  Xaus Vergleich ausschliessenBigchainDB  Xaus Vergleich ausschliessenH2  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenWeaviate  Xaus Vergleich ausschliessen
This system has been discontinued and will be removed from the DB-Engines ranking.
KurzbeschreibungHighly 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.Fully managed big data interactive analytics platformAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primäres DatenbankmodellDocument Store
Key-Value Store
Document StoreRelational DBMSRelational DBMS infocolumn orientedVektor DBMS
Sekundäre DatenbankmodelleSpatial DBMSDocument Store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Suchmaschine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,85
Rang#208  Overall
#35  Document Stores
Punkte8,33
Rang#46  Overall
#30  Relational DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte1,52
Rang#153  Overall
#5  Vektor DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comwww.h2database.comazure.microsoft.com/­services/­data-explorergithub.com/­weaviate/­weaviate
weaviate.io
Technische Dokumentationbigchaindb.readthedocs.io/­en/­latestwww.h2database.com/­html/­main.htmldocs.microsoft.com/­en-us/­azure/­data-explorerweaviate.io/­developers/­weaviate
EntwicklerAtos Convergence CreatorsThomas MuellerMicrosoftWeaviate B.V.
Erscheinungsjahr20162016200520192019
Aktuelle Version17032.2.220, Juli 2023cloud service with continuous releases1.19, Mai 2023
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoAGPL v3Open Source infodual-licence (Mozilla public license, Eclipse public license)kommerziellOpen Source infocommercial license available with Weaviate Enterprise
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaPythonJavaGo
Server BetriebssystemeLinuxLinuxAlle Betriebssysteme mit einer Java VMgehostet
DatenschemaSchema and schema-less with LDAP viewsschemafreijaFixed schema with schema-less datatypes (dynamic)yes, maps to GraphQL interface
Typisierung infovordefinierte Datentypen, z.B. float oder dateoptionalneinjaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja infostring, int, float, geo point, date, cross reference, fuzzy references
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjaneinneinjanein
Sekundärindizesjajaall fields are automatically indexedja infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLneinneinjaKusto Query Language (KQL), SQL subsetGraphQL is used as query language
APIs und andere ZugriffskonzepteLDAPCLI Client
RESTful HTTP API
JDBC
ODBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
GraphQL query language
RESTful HTTP/JSON API
Unterstützte ProgrammiersprachenAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
Java.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
JavaScript / TypeScript
Python
Server-seitige Scripts infoStored ProceduresneinJava Stored Procedures and User-Defined FunctionsYes, possible languages: KQL, Python, Rnein
Triggersjajaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infocell divisionShardingkeineSharding infoImplicit feature of the cloud serviceSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenjafrei wählbarer ReplikationsfaktorWith clustering: 2 database servers on different computers operate on identical copies of a databaseja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.ja
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinjaneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenAtomic execution of specific operationsACIDneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajayes, multi-version concurrency control (MVCC)jaja
Durability infoDauerhafte Speicherung der Datenjayes,with MongoDB ord RethinkDBjajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinja
Berechtigungskonzept infoZugriffskontrolleLDAP bind authenticationyesBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAzure Active Directory AuthenticationAPI Keys
OpenID Connect Discovery
Weitere Informationen bereitgestellt vom Systemhersteller
Atos Standard Common RepositoryBigchainDBH2Microsoft Azure Data ExplorerWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» mehr
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
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Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
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Key customersAll companies that have data. ​
» mehr
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» mehr
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» mehr

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Weitere Ressourcen
Atos Standard Common RepositoryBigchainDBH2Microsoft Azure Data ExplorerWeaviate
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