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DBMS > Microsoft Azure Data Explorer vs. Microsoft Azure SQL Database vs. Oracle NoSQL vs. Sadas Engine vs. ScyllaDB

Vergleich der Systemeigenschaften Microsoft Azure Data Explorer vs. Microsoft Azure SQL Database vs. Oracle NoSQL vs. Sadas Engine vs. ScyllaDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenMicrosoft Azure SQL Database infofrüher SQL Azure  Xaus Vergleich ausschliessenOracle NoSQL  Xaus Vergleich ausschliessenSadas Engine  Xaus Vergleich ausschliessenScyllaDB  Xaus Vergleich ausschliessen
KurzbeschreibungFully managed big data interactive analytics platformRelationaler Datenbankdienst aus der Cloud mit großer Kompatibilität zum Microsoft SQL ServerA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsCassandra and DynamoDB compatible wide column store
Primäres DatenbankmodellRelational DBMS infocolumn orientedRelational DBMSDocument Store
Key-Value Store
Relational DBMS
Relational DBMSWide Column Store
Sekundäre DatenbankmodelleDocument 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
Key-Value Store
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte77,99
Rang#16  Overall
#11  Relational DBMS
Punkte2,95
Rang#100  Overall
#17  Document Stores
#17  Key-Value Stores
#50  Relational DBMS
Punkte0,00
Rang#383  Overall
#158  Relational DBMS
Punkte4,75
Rang#68  Overall
#5  Wide Column Stores
Websiteazure.microsoft.com/­services/­data-explorerazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.oracle.com/­database/­nosql/­technologies/­nosqlwww.sadasengine.comwww.scylladb.com
Technische Dokumentationdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.scylladb.com
EntwicklerMicrosoftMicrosoftOracleSADAS s.r.l.ScyllaDB
Erscheinungsjahr20192010201120062015
Aktuelle Versioncloud service with continuous releasesV1223.3, Dezember 20238.0ScyllaDB Open Source 5.4.1, Jaenner 2024
Lizenz infoCommercial or Open SourcekommerziellkommerziellOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)kommerziell infofree trial version availableOpen Source infoOpen Source (AGPL), commercial license available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjajaneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
ImplementierungsspracheC++JavaC++C++
Server BetriebssystemegehostetgehostetLinux
Solaris SPARC/x86
AIX
Linux
Windows
Linux
DatenschemaFixed schema with schema-less datatypes (dynamic)jaSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.jaschemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder dateja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjaoptionaljaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjajaneinneinnein
Sekundärindizesall fields are automatically indexedjajajaja infocluster global secondary indices
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetjaSQL-like DML and DDL statementsjaSQL-like DML and DDL statements (CQL)
APIs und andere ZugriffskonzepteMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP APIJDBC
ODBC
Proprietäres Protokoll
Proprietäres Protokoll infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Unterstützte Programmiersprachen.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-seitige Scripts infoStored ProceduresYes, possible languages: KQL, Python, RTransact SQLneinneinyes, Lua
Triggersja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyjaneinneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoImplicit feature of the cloud serviceShardinghorizontale PartitionierungSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.ja, immer mindestens 3 Replikas vorhandenElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featurekeinefrei wählbarer Replikationsfaktor infoRepresentation of geographical distribution of servers is possible
MapReduce infoBietet ein API für Map/Reduce OperationenSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinwith Hadoop integrationneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency infoabhängig von Konfiguration
Immediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Fremdschlüssel inforeferenzielle Integritätneinjaneinjanein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDkonfigurierbar infoACID innerhalb eines 'storage nodes' (=shard)nein infoAtomicity and isolation are supported for single operations
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 haltenneinja infooff heap cacheja infomanaged by 'Learn by Usage'ja infoin-memory tables
Berechtigungskonzept infoZugriffskontrolleAzure Active Directory AuthenticationBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardZugriffsrechte für Benutzer und RollenAccess rights for users, groups and roles according to SQL-standardAccess rights for users can be defined per object
Weitere Informationen bereitgestellt vom Systemhersteller
Microsoft Azure Data ExplorerMicrosoft Azure SQL Database infofrüher SQL AzureOracle NoSQLSadas EngineScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» mehr
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» mehr
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» mehr
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» mehr
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» mehr
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» mehr

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Weitere Ressourcen
Microsoft Azure Data ExplorerMicrosoft Azure SQL Database infofrüher SQL AzureOracle NoSQLSadas EngineScyllaDB
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