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DBMS > Google Cloud Datastore vs. Microsoft Azure Data Explorer vs. STSdb vs. TimescaleDB vs. Vertica

Vergleich der Systemeigenschaften Google Cloud Datastore vs. Microsoft Azure Data Explorer vs. STSdb vs. TimescaleDB vs. Vertica

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGoogle Cloud Datastore  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSTSdb  Xaus Vergleich ausschliessenTimescaleDB  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessen
KurzbeschreibungSelbst skalierendes NoSQL Datenbankservice in der Google Cloud PlattformFully managed big data interactive analytics platformKey-Value Store mit spezieller Indizierungsmethode infoOptimiert hinsichtlich Performanz durch spezielle IndizierungstechnologieA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLCloud 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 DatenbankmodellDocument StoreRelational DBMS infocolumn orientedKey-Value StoreTime Series DBMSRelational DBMS infoColumn oriented
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
Relational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte4,47
Rang#76  Overall
#12  Document Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,04
Rang#360  Overall
#52  Key-Value Stores
Punkte4,64
Rang#71  Overall
#4  Time Series DBMS
Punkte10,68
Rang#43  Overall
#27  Relational DBMS
Websitecloud.google.com/­datastoreazure.microsoft.com/­services/­data-explorergithub.com/­STSSoft/­STSdb4www.timescale.comwww.vertica.com
Technische Dokumentationcloud.google.com/­datastore/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.timescale.comvertica.com/­documentation
EntwicklerGoogleMicrosoftSTS Soft SCTimescaleOpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr20082019201120172005
Aktuelle Versioncloud service with continuous releases4.0.8, September 20152.15.0, Mai 202412.0.3, Jänner 2023
Lizenz infoCommercial or Open SourcekommerziellkommerziellOpen Source infoGPLv2, kommerzielle Lizenz verfügbarOpen Source infoApache 2.0kommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjajaneinneinnein 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.
ImplementierungsspracheC#CC++
Server BetriebssystemegehostetgehostetWindowsLinux
OS X
Windows
Linux
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 dateja, Details hierja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja infoPrimitive Typen und benutzerdefinierte Klassenjayes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjajanein
Sekundärindizesjaall fields are automatically indexedneinjaNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSQL-like query language (GQL)Kusto Query Language (KQL), SQL subsetneinja infofull PostgreSQL SQL syntaxFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs und andere ZugriffskonzeptegRPC (using protocol buffers) API
RESTful HTTP/JSON API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
.NET Client APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Unterstützte Programmiersprachen.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C#
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored Proceduresmit Google App EngineYes, possible languages: KQL, Python, Rneinbenutzerdefinierte Funktionen, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellyes, PostgreSQL PL/pgSQL, with minor differences
TriggersCallbacks mit Google Apps Engineja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinjayes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infoImplicit feature of the cloud servicekeineyes, across time and space (hash partitioning) attributeshorizontal partitioning, hierarchical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-source replication using Paxosja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.keineSource-Replica Replikation infoMulti-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoBietet ein API für Map/Reduce Operationenja infomittels Google Cloud DataflowSpark 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 depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätja infovia ReferenceProperties or Ancestor pathsneinneinjaja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsneinneinACIDACID
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 haltenneinneinneinnein
Berechtigungskonzept infoZugriffskontrolleAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Azure Active Directory AuthenticationneinBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
Google Cloud DatastoreMicrosoft Azure Data ExplorerSTSdbTimescaleDBVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» mehr
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
Google Cloud DatastoreMicrosoft Azure Data ExplorerSTSdbTimescaleDBVertica infoOpenText™ Vertica™
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