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

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

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 ausschliessenTypeDB infoformerly named Grakn  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 platformTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
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 orientedGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
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
#9  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
Punkte0,70
Rang#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Websitecratedb.comwww.ibm.com/­products/­db2/­warehousewww.intersystems.com/­products/­intersystems-irisazure.microsoft.com/­services/­data-explorertypedb.com
Technische Dokumentationcratedb.com/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.microsoft.com/­en-us/­azure/­data-explorertypedb.com/­docs
EntwicklerCrateIBMInterSystemsMicrosoftVaticle
Erscheinungsjahr20132014201820192016
Aktuelle Version2023.3, Juni 2023cloud service with continuous releases2.26.3, Jaenner 2024
Lizenz infoCommercial or Open SourceOpen SourcekommerziellkommerziellkommerziellOpen Source infoGPL Version 3, commercial licenses available
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.
ImplementierungsspracheJavaJava
Server BetriebssystemeAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportgehostetAIX
Linux
macOS
Ubuntu
Windows
gehostetLinux
OS X
Windows
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-typesja
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 subsetnein
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
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
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
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte FunktionenPL/SQL, SQL PLjaYes, possible languages: KQL, Python, Rnein
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 serviceSharding infoby using Cassandra
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.Multi-Source Replikation infoby using Cassandra
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkja infoby using Apache Kafka and Apache Zookeeper
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinjajaneinnein infosubstituted by the relationship feature
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationennein infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACIDneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjajaneinnein
Berechtigungskonzept infoZugriffskontrolleRechteverwaltung mit BenutzeraccountsBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardyesAzure Active Directory Authenticationyes infoat REST API level; other APIs in progress
Weitere Informationen bereitgestellt vom Systemhersteller
CrateDBIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRISMicrosoft Azure Data ExplorerTypeDB infoformerly named Grakn
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
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» mehr
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» mehr
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» mehr
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» mehr
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» 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
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» mehr

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Weitere Ressourcen
CrateDBIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRISMicrosoft Azure Data ExplorerTypeDB infoformerly named Grakn
Erwähnungen in aktuellen Nachrichten

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bereitgestellt von Google News

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