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DBMS > Datastax Enterprise vs. Hazelcast vs. Microsoft Azure Data Explorer vs. MySQL vs. Sqrrl

Vergleich der Systemeigenschaften Datastax Enterprise vs. Hazelcast vs. Microsoft Azure Data Explorer vs. MySQL vs. Sqrrl

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDatastax Enterprise  Xaus Vergleich ausschliessenHazelcast  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenMySQL  Xaus Vergleich ausschliessenSqrrl  Xaus Vergleich ausschliessen
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
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 widely adopted in-memory data gridFully managed big data interactive analytics platformWeit verbreitetes, allgemein einsetzbares Open Source RDBMSAdaptable, secure NoSQL built on Apache Accumulo
Primäres DatenbankmodellWide Column StoreKey-Value StoreRelational DBMS infocolumn orientedRelational DBMS infoKey/Value Zugriff über memcached APIDocument Store
Graph DBMS
Key-Value Store
Wide Column Store
Sekundäre DatenbankmodelleDocument Store
Graph DBMS
Spatial DBMS
Suchmaschine
Vektor DBMS
Document Store infoJSON support with IMDG 3.12Document 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
Document Store
Spatial DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte5,80
Rang#60  Overall
#4  Wide Column Stores
Punkte5,97
Rang#57  Overall
#6  Key-Value Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte1083,74
Rang#2  Overall
#2  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterprisehazelcast.comazure.microsoft.com/­services/­data-explorerwww.mysql.comsqrrl.com
Technische Dokumentationdocs.datastax.comhazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerdev.mysql.com/­doc
EntwicklerDataStaxHazelcastMicrosoftOracle infoseit 2010, ursprünglich MySQL AB, danach SunAmazon infoursprünglich Sqrrl Data, Inc.
Erscheinungsjahr20112008201919952012
Aktuelle Version6.8, April 20205.3.6, November 2023cloud service with continuous releases8.4.0, April 2024
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache Version 2; commercial licenses availablekommerziellOpen Source infoGPL Version 2. Kommerzielle Lizenzen mit erweiterter Funktionalität sind verfügbar.kommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein
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.Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
ImplementierungsspracheJavaJavaC und C++Java
Server BetriebssystemeLinux
OS X
Alle Betriebssysteme mit einer Java VMgehostetFreeBSD
Linux
OS X
Solaris
Windows
Linux
DatenschemaschemafreischemafreiFixed schema with schema-less datatypes (dynamic)jaschemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinja infothe object must implement a serialization strategyjaja
Sekundärindizesjajaall fields are automatically indexedjaja
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLSQL-like query languageKusto Query Language (KQL), SQL subsetja infomit proprietären Erweiterungennein
APIs und andere ZugriffskonzeptePropriätäres Protokoll infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JCache
JPA
Memcached Protokoll
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietäres native API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Unterstützte ProgrammiersprachenC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-seitige Scripts infoStored Proceduresneinja infoEvent Listeners, Executor ServicesYes, possible languages: KQL, Python, Rja infoproprietäre Syntaxnein
Triggersjaja infoEventsja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyjanein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infono "single point of failure"ShardingSharding infoImplicit feature of the cloud servicehorizontale Partitionierung, Sharding mit MySQL Cluster oder MySQL FabricSharding infoBasierend auf Hadoop
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenconfigurable replication factor, datacenter aware, advanced replication for edge computingja infoReplicated Mapja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source Replikation
Source-Replica Replikation
frei wählbarer Replikationsfaktor infobasierend auf Hadoop
MapReduce infoBietet ein API für Map/Reduce OperationenjajaSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Fremdschlüssel inforeferenzielle Integritätneinneinneinja infonicht für MyISAM Storage Enginenein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationennein infoAtomicity and isolation are supported for single operationsone or two-phase-commit; repeatable reads; read commitedneinACID infonicht für MyISAM Storage EngineAtomic updates per row, document, or graph entity
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja infoTable Locks oder Row Locks abhängig von Storage Engineja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinja
Berechtigungskonzept infoZugriffskontrolleZugriffsrechte für Benutzer auf einzelne Objekte definierbarRole-based access controlAzure Active Directory AuthenticationBenutzer mit feingranularem Berechtigungskonzept infokeine Benutzergruppen oder RollenCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
Weitere Informationen bereitgestellt vom Systemhersteller
Datastax EnterpriseHazelcastMicrosoft Azure Data ExplorerMySQLSqrrl
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
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Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
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Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
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Licensing and pricing modelsAnnual subscription
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