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DBMS > Datastax Enterprise vs. etcd vs. GridDB vs. InterSystems IRIS vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften Datastax Enterprise vs. etcd vs. GridDB vs. InterSystems IRIS vs. Microsoft Azure Data Explorer

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDatastax Enterprise  Xaus Vergleich ausschliessenetcd  Xaus Vergleich ausschliessenGridDB  Xaus Vergleich ausschliessenInterSystems IRIS  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
KurzbeschreibungDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.A distributed reliable key-value storeScalable in-memory time series database optimized for IoT and Big DataA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityFully managed big data interactive analytics platform
Primäres DatenbankmodellWide Column StoreKey-Value StoreTime Series DBMSDocument Store
Key-Value Store
Object oriented DBMS
Relational DBMS
Relational DBMS infocolumn oriented
Sekundäre DatenbankmodelleDocument Store
Graph DBMS
Spatial DBMS
Suchmaschine
Vektor DBMS
Key-Value Store
Relational DBMS
Document 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
Punkte5,93
Rang#56  Overall
#4  Wide Column Stores
Punkte7,03
Rang#54  Overall
#5  Key-Value Stores
Punkte2,09
Rang#120  Overall
#10  Time Series 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
Websitewww.datastax.com/­products/­datastax-enterpriseetcd.io
github.com/­etcd-io/­etcd
griddb.netwww.intersystems.com/­products/­intersystems-irisazure.microsoft.com/­services/­data-explorer
Technische Dokumentationdocs.datastax.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.griddb.netdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerDataStaxToshiba CorporationInterSystemsMicrosoft
Erscheinungsjahr2011201320182019
Aktuelle Version6.8, April 20203.4, August 20195.1, August 20222023.3, Juni 2023cloud service with continuous releases
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache Version 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablekommerziellkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinneinja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
ImplementierungsspracheJavaGoC++
Server BetriebssystemeLinux
OS X
FreeBSD
Linux
Windows infoexperimental
LinuxAIX
Linux
macOS
Ubuntu
Windows
gehostet
Datenschemaschemafreischemafreijadepending on used data modelFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder datejaneinja infonumerical, string, blob, geometry, boolean, timestampjaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinjaja
Sekundärindizesjaneinjajaall fields are automatically indexed
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLneinSQL92, SQL-like TQL (Toshiba Query Language)jaKusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzeptePropriätäres Protokoll infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
gRPC
JSON over HTTP
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte ProgrammiersprachenC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored ProceduresneinneinneinjaYes, possible languages: KQL, Python, R
Triggersjayes, watching key changesjajaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infono "single point of failure"ShardingShardingSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenconfigurable replication factor, datacenter aware, advanced replication for edge computingUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-Replica ReplikationSource-Replica Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce OperationenjaneinConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsneinSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate ConsistencyEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinjanein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationennein infoAtomicity and isolation are supported for single operationsneinACID at container levelACIDnein
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 haltenjaneinjajanein
Berechtigungskonzept infoZugriffskontrolleZugriffsrechte für Benutzer auf einzelne Objekte definierbarneinAccess rights for users can be defined per databaseyesAzure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
Datastax EnterpriseetcdGridDBInterSystems IRISMicrosoft Azure Data Explorer
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» mehr
GridDB is a highly scalable, in-memory time series database optimized for IoT and...
» mehr
InterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» mehr
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» mehr
1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» mehr
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» mehr
Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» mehr
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» mehr
Denso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» mehr
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» mehr
GitHub trending repository
» mehr
Licensing and pricing modelsAnnual subscription
» mehr
Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» mehr

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Weitere Ressourcen
Datastax EnterpriseetcdGridDBInterSystems IRISMicrosoft Azure Data Explorer
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