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DBMS > IBM Cloudant vs. Microsoft Azure Data Explorer vs. Microsoft Azure Synapse Analytics vs. Milvus vs. QuestDB

Vergleich der Systemeigenschaften IBM Cloudant vs. Microsoft Azure Data Explorer vs. Microsoft Azure Synapse Analytics vs. Milvus vs. QuestDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameIBM Cloudant  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xaus Vergleich ausschliessenMilvus  Xaus Vergleich ausschliessenQuestDB  Xaus Vergleich ausschliessen
KurzbeschreibungAuf Apache CouchDB basierendes Database as a Service AngebotFully 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 searchesA high performance open source SQL database for time series data
Primäres DatenbankmodellDocument StoreRelational DBMS infocolumn orientedRelational DBMSVektor DBMSTime Series 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
Relational DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte2,68
Rang#106  Overall
#20  Document Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte20,56
Rang#31  Overall
#19  Relational DBMS
Punkte2,31
Rang#113  Overall
#3  Vektor DBMS
Punkte2,52
Rang#109  Overall
#9  Time Series DBMS
Websitewww.ibm.com/­products/­cloudantazure.microsoft.com/­services/­data-explorerazure.microsoft.com/­services/­synapse-analyticsmilvus.ioquestdb.io
Technische Dokumentationcloud.ibm.com/­docs/­Cloudantdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.microsoft.com/­azure/­synapse-analyticsmilvus.io/­docs/­overview.mdquestdb.io/­docs
EntwicklerIBM, Apache Software Foundation infoIBM hat im Februar 2014 Cloudant gekauftMicrosoftMicrosoftQuestDB Technology Inc
Erscheinungsjahr20102019201620192014
Aktuelle Versioncloud service with continuous releases2.3.4, Jänner 2024
Lizenz infoCommercial or Open SourcekommerziellkommerziellkommerziellOpen Source infoApache Version 2.0Open Source infoApache 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjajajaneinnein
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
ImplementierungsspracheErlangC++C++, GoJava (Zero-GC), C++, Rust
Server BetriebssystemegehostetgehostetgehostetLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
macOS
Windows
DatenschemaschemafreiFixed schema with schema-less datatypes (dynamic)jaja infoschema-free via InfluxDB Line Protocol
Typisierung infovordefinierte Datentypen, z.B. float oder dateneinja 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, XSLTneinjaneinneinnein
Sekundärindizesjaall fields are automatically indexedjaneinnein
SQL infoSupport of SQLneinKusto Query Language (KQL), SQL subsetjaneinSQL with time-series extensions
APIs und andere ZugriffskonzepteRESTful HTTP/JSON APIMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Unterstützte ProgrammiersprachenC#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C#
Java
PHP
C++
Go
Java
JavaScript (Node.js)
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-seitige Scripts infoStored ProceduresView Functions (Map-Reduce) in JavaScriptYes, possible languages: KQL, Python, RTransact SQLneinnein
Triggersjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioningShardinghorizontal partitioning (by timestamps)
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source Replikation
Source-Replica Replikation
ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.jaSource-replica replication with eventual consistency
MapReduce infoBietet ein API für Map/Reduce OperationenjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinnein infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationennein infoAtomare Operationen innerhalb eines Dokumentes möglichneinACIDneinACID for single-table writes
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja infoOptimistic lockingjajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinjaja infothrough memory mapped files
Berechtigungskonzept infoZugriffskontrolleZugriffsrechte für Benutzer pro Datenbank definierbarAzure Active Directory AuthenticationjaRole based access control and fine grained access rights
Weitere Informationen bereitgestellt vom Systemhersteller
IBM CloudantMicrosoft Azure Data ExplorerMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvusQuestDB
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
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Relational model with native time series support Column-based storage and time partitioned...
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Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
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High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
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Financial tick data Industrial IoT Application Metrics Monitoring
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Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
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Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
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Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
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Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
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Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
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Weitere Ressourcen
IBM CloudantMicrosoft Azure Data ExplorerMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvusQuestDB
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