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DBMS > DataFS vs. Datastax Enterprise vs. Heroic vs. Linter vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften DataFS vs. Datastax Enterprise vs. Heroic vs. Linter vs. Microsoft Azure Data Explorer

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDataFS  Xaus Vergleich ausschliessenDatastax Enterprise  Xaus Vergleich ausschliessenHeroic  Xaus Vergleich ausschliessenLinter  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
KurzbeschreibungAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.DataStax 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.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchRDBMS for high security requirementsFully managed big data interactive analytics platform
Primäres DatenbankmodellObject oriented DBMSWide Column StoreTime Series DBMSRelational DBMSRelational DBMS infocolumn oriented
Sekundäre DatenbankmodelleGraph DBMSDocument Store
Graph DBMS
Spatial DBMS
Suchmaschine
Vektor DBMS
Spatial 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
Punkte0,06
Rang#354  Overall
#15  Object oriented DBMS
Punkte5,80
Rang#60  Overall
#4  Wide Column Stores
Punkte0,51
Rang#255  Overall
#21  Time Series DBMS
Punkte0,09
Rang#346  Overall
#152  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Websitenewdatabase.comwww.datastax.com/­products/­datastax-enterprisegithub.com/­spotify/­heroiclinter.ruazure.microsoft.com/­services/­data-explorer
Technische Dokumentationdev.mobiland.com/­Overview.xspdocs.datastax.comspotify.github.io/­heroicdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerMobiland AGDataStaxSpotifyrelex.ruMicrosoft
Erscheinungsjahr20182011201419902019
Aktuelle Version1.1.263, October 20226.8, April 2020cloud service with continuous releases
Lizenz infoCommercial or Open SourcekommerziellkommerziellOpen Source infoApache 2.0kommerziellkommerziell
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.
ImplementierungsspracheJavaJavaC und C++
Server BetriebssystemeWindowsLinux
OS X
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
gehostet
DatenschemaClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schemafreischemafreijaFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajajaja 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, XSLTneinneinneinneinja
Sekundärindizesneinjaja infovia Elasticsearchjaall fields are automatically indexed
SQL infoSupport of SQLneinSQL-like DML and DDL statements (CQL); Spark SQLneinjaKusto Query Language (KQL), SQL subset
APIs und andere Zugriffskonzepte.NET Client API
Proprietary client DLL
WinRT client
Propriätäres Protokoll infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte Programmiersprachen.Net
C
C#
C++
VB.Net
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored Proceduresneinneinja infoproprietary syntax with the possibility to convert from PL/SQLYes, possible languages: KQL, Python, R
Triggersno, except callback-events from server when changes happenedjaneinjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenProprietary Sharding systemSharding infono "single point of failure"ShardingkeineSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenconfigurable replication factor, datacenter aware, advanced replication for edge computingjaSource-Replica Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce OperationenneinjaneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätjaneinneinjanein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDnein infoAtomicity and isolation are supported for single operationsneinACIDnein
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 haltenneinjaneinnein
Berechtigungskonzept infoZugriffskontrolleWindows-ProfileZugriffsrechte für Benutzer auf einzelne Objekte definierbarBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAzure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
DataFSDatastax EnterpriseHeroicLinterMicrosoft Azure Data Explorer
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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Weitere Ressourcen
DataFSDatastax EnterpriseHeroicLinterMicrosoft Azure Data Explorer
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