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DBMS > Atos Standard Common Repository vs. Microsoft Azure Data Explorer vs. Microsoft Azure Synapse Analytics vs. Milvus vs. TimesTen

Vergleich der Systemeigenschaften Atos Standard Common Repository vs. Microsoft Azure Data Explorer vs. Microsoft Azure Synapse Analytics vs. Milvus vs. TimesTen

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAtos Standard Common Repository  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xaus Vergleich ausschliessenMilvus  Xaus Vergleich ausschliessenTimesTen  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 networksFully managed big data interactive analytics platformElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA DBMS designed for efficient storage of vector data and vector similarity searchesIn-Memory RDBMS compatible to Oracle
Primäres DatenbankmodellDocument Store
Key-Value Store
Relational DBMS infocolumn orientedRelational DBMSVektor DBMSRelational DBMS
Sekundäre DatenbankmodelleDocument 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
Punkte5,16
Rang#69  Overall
#37  Relational DBMS
Punkte22,71
Rang#30  Overall
#18  Relational DBMS
Punkte1,81
Rang#144  Overall
#5  Vektor DBMS
Punkte1,35
Rang#165  Overall
#75  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryazure.microsoft.com/­services/­data-explorerazure.microsoft.com/­services/­synapse-analyticsmilvus.iowww.oracle.com/­database/­technologies/­related/­timesten.html
Technische Dokumentationdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.microsoft.com/­azure/­synapse-analyticsmilvus.io/­docs/­overview.mddocs.oracle.com/­database/­timesten-18.1
EntwicklerAtos Convergence CreatorsMicrosoftMicrosoftOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Erscheinungsjahr20162019201620191998
Aktuelle Version1703cloud service with continuous releases2.3.4, Jänner 202411 Release 2 (11.2.2.8.0)
Lizenz infoCommercial or Open SourcekommerziellkommerziellkommerziellOpen Source infoApache Version 2.0kommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjajaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
ImplementierungsspracheJavaC++C++, Go
Server BetriebssystemeLinuxgehostetgehostetLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
DatenschemaSchema and schema-less with LDAP viewsFixed schema with schema-less datatypes (dynamic)jaja
Typisierung infovordefinierte Datentypen, z.B. float oder dateoptionalja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjaVector, Numeric and Stringja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjajaneinneinnein
Sekundärindizesjaall fields are automatically indexedjaneinja
SQL infoSupport of SQLneinKusto Query Language (KQL), SQL subsetjaneinja
APIs und andere ZugriffskonzepteLDAPMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Unterstützte ProgrammiersprachenAll languages with LDAP bindings.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C#
Java
PHP
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
PL/SQL
Server-seitige Scripts infoStored ProceduresneinYes, possible languages: KQL, Python, RTransact SQLneinPL/SQL
Triggersjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infocell divisionSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioningShardingkeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenjaja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.jaMulti-Source Replikation
Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce OperationenSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Fremdschlüssel inforeferenzielle Integritätneinneinnein infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenAtomic execution of specific operationsneinACIDneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja infoby means of logfiles and checkpoints
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinjaja
Berechtigungskonzept infoZugriffskontrolleLDAP bind authenticationAzure Active Directory AuthenticationjaRole based access control and fine grained access rightsBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard
Weitere Informationen bereitgestellt vom Systemhersteller
Atos Standard Common RepositoryMicrosoft Azure Data ExplorerMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvusTimesTen
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» mehr
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» mehr
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» mehr
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» mehr
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» mehr
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» mehr

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Weitere Ressourcen
Atos Standard Common RepositoryMicrosoft Azure Data ExplorerMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvusTimesTen
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