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DBMS > Hazelcast vs. Microsoft Azure Data Explorer vs. Microsoft Azure SQL Database vs. Percona Server for MySQL vs. Vertica

Vergleich der Systemeigenschaften Hazelcast vs. Microsoft Azure Data Explorer vs. Microsoft Azure SQL Database vs. Percona Server for MySQL vs. Vertica

Redaktionelle Informationen bereitgestellt von DB-Engines
NameHazelcast  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenMicrosoft Azure SQL Database infofrüher SQL Azure  Xaus Vergleich ausschliessenPercona Server for MySQL  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessen
KurzbeschreibungA widely adopted in-memory data gridFully managed big data interactive analytics platformRelationaler Datenbankdienst aus der Cloud mit großer Kompatibilität zum Microsoft SQL ServerVerbesserte, binärkompatible Alternative zu MySQL mit Performanceverbesserungen und erweiterten Diagnose- und Managementfeatures basierend auf XtraDB oder TokuDB Storage Engines.Cloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primäres DatenbankmodellKey-Value StoreRelational DBMS infocolumn orientedRelational DBMSRelational DBMSRelational DBMS infoColumn oriented
Sekundäre DatenbankmodelleDocument 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
Graph DBMS
Spatial DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte5,97
Rang#57  Overall
#6  Key-Value Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte77,99
Rang#16  Overall
#11  Relational DBMS
Punkte2,03
Rang#122  Overall
#57  Relational DBMS
Punkte10,68
Rang#43  Overall
#27  Relational DBMS
Websitehazelcast.comazure.microsoft.com/­services/­data-explorerazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.percona.com/­software/­mysql-database/­percona-serverwww.vertica.com
Technische Dokumentationhazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.microsoft.com/­en-us/­azure/­azure-sqlwww.percona.com/­downloads/­Percona-Server-LATESTvertica.com/­documentation
EntwicklerHazelcastMicrosoftMicrosoftPerconaOpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr20082019201020082005
Aktuelle Version5.3.6, November 2023cloud service with continuous releasesV128.0.36-28, 202412.0.3, Jänner 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablekommerziellkommerziellOpen Source infoGPL Version 2kommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjajaneinnein infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaC++C und C++C++
Server BetriebssystemeAlle Betriebssysteme mit einer Java VMgehostetgehostetLinuxLinux
DatenschemaschemafreiFixed schema with schema-less datatypes (dynamic)jajaYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjajayes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTja infothe object must implement a serialization strategyjajajanein
Sekundärindizesjaall fields are automatically indexedjajaNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSQL-like query languageKusto Query Language (KQL), SQL subsetjajaFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs und andere ZugriffskonzepteJCache
JPA
Memcached Protokoll
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Unterstützte Programmiersprachen.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored Proceduresja infoEvent Listeners, Executor ServicesYes, possible languages: KQL, Python, RTransact SQLjayes, PostgreSQL PL/pgSQL, with minor differences
Triggersja infoEventsja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyjajayes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning, hierarchical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infoReplicated Mapja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.ja, immer mindestens 3 Replikas vorhandenMulti-Source Replikation
Source-Replica Replikation
XtraDB Cluster
Multi-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoBietet ein API für Map/Reduce OperationenjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinneinno infoBi-directional Spark integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinjajaja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenone or two-phase-commit; repeatable reads; read commitedneinACIDACIDACID
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 haltenjaneinjanein
Berechtigungskonzept infoZugriffskontrolleRole-based access controlAzure Active Directory AuthenticationBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardBenutzer mit feingranularem Berechtigungskonzept infokeine Benutzergruppen oder Rollenfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
HazelcastMicrosoft Azure Data ExplorerMicrosoft Azure SQL Database infofrüher SQL AzurePercona Server for MySQLVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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Weitere Ressourcen
HazelcastMicrosoft Azure Data ExplorerMicrosoft Azure SQL Database infofrüher SQL AzurePercona Server for MySQLVertica infoOpenText™ Vertica™
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