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DBMS > CrateDB vs. IBM Db2 warehouse vs. InterSystems IRIS vs. Microsoft Azure Data Explorer vs. RisingWave

Vergleich der Systemeigenschaften CrateDB vs. IBM Db2 warehouse vs. InterSystems IRIS vs. Microsoft Azure Data Explorer vs. RisingWave

Redaktionelle Informationen bereitgestellt von DB-Engines
NameCrateDB  Xaus Vergleich ausschliessenIBM Db2 warehouse infoformerly named IBM dashDB  Xaus Vergleich ausschliessenInterSystems IRIS  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRisingWave  Xaus Vergleich ausschliessen
KurzbeschreibungVerteilter Data Store basierend auf LuceneData warehousing service aus der CloudA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityFully managed big data interactive analytics platformA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primäres DatenbankmodellDocument Store
Spatial DBMS
Suchmaschine
Time Series DBMS
Vektor DBMS
Relational DBMSDocument Store
Key-Value Store
Object oriented DBMS
Relational DBMS
Relational DBMS infocolumn orientedRelational DBMS
Sekundäre DatenbankmodelleRelational 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
Punkte0,71
Rang#227  Overall
#37  Document Stores
#5  Spatial DBMS
#16  Suchmaschinen
#19  Time Series DBMS
#8  Vektor DBMS
Punkte1,37
Rang#160  Overall
#74  Relational DBMS
Punkte3,54
Rang#84  Overall
#14  Document Stores
#10  Key-Value Stores
#1  Object oriented DBMS
#45  Relational DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte0,64
Rang#238  Overall
#110  Relational DBMS
Websitecratedb.comwww.ibm.com/­products/­db2/­warehousewww.intersystems.com/­products/­intersystems-irisazure.microsoft.com/­services/­data-explorerwww.risingwave.com/­database
Technische Dokumentationcratedb.com/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.risingwave.com/­docs/­current/­intro
EntwicklerCrateIBMInterSystemsMicrosoftRisingWave Labs
Erscheinungsjahr20132014201820192022
Aktuelle Version2023.3, Juni 2023cloud service with continuous releases1.2, September 2023
Lizenz infoCommercial or Open SourceOpen SourcekommerziellkommerziellkommerziellOpen Source infoApache Version 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
ImplementierungsspracheJavaRust
Server BetriebssystemeAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportgehostetAIX
Linux
macOS
Ubuntu
Windows
gehostetDocker
Linux
macOS
DatenschemaFlexible Schema (defined schema, partial schema, schema free)jadepending on used data modelFixed schema with schema-less datatypes (dynamic)ja
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesStandard SQL-types and JSON
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinnein infoImportieren/Exportieren von XML Daten möglichjajanein
Sekundärindizesjajajaall fields are automatically indexedja
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityjajaKusto Query Language (KQL), SQL subsetja
APIs und andere ZugriffskonzepteADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
PostgreSQL wire protocol
Unterstützte Programmiersprachen.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Go
Java
JavaScript (Node.js)
Python
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte FunktionenPL/SQL, SQL PLjaYes, possible languages: KQL, Python, RUDFs in Python or Java
Triggersneinjajaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingShardingSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenConfigurable replication on table/partition-leveljaSource-Replica Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinjajaneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationennein infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACIDneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjajaneinja
Berechtigungskonzept infoZugriffskontrolleRechteverwaltung mit BenutzeraccountsBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardyesAzure Active Directory AuthenticationUsers and Roles
Weitere Informationen bereitgestellt vom Systemhersteller
CrateDBIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRISMicrosoft Azure Data ExplorerRisingWave
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» mehr
InterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» mehr
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» mehr
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» mehr
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» mehr
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» mehr
Licensing and pricing modelsSee CrateDB pricing >
» mehr

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Weitere Ressourcen
CrateDBIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRISMicrosoft Azure Data ExplorerRisingWave
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