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DBMS > Google Cloud Spanner vs. JanusGraph vs. Kyligence Enterprise vs. Lovefield vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften Google Cloud Spanner vs. JanusGraph vs. Kyligence Enterprise vs. Lovefield vs. Microsoft Azure Data Explorer

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGoogle Cloud Spanner  Xaus Vergleich ausschliessenJanusGraph infosuccessor of Titan  Xaus Vergleich ausschliessenKyligence Enterprise  Xaus Vergleich ausschliessenLovefield  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
KurzbeschreibungA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A distributed analytics engine for big data, built on top of Apache KylinEmbeddable relational database for web apps written in pure JavaScriptFully managed big data interactive analytics platform
Primäres DatenbankmodellRelational DBMSGraph DBMSRelational DBMSRelational 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
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte2,89
Rang#103  Overall
#52  Relational DBMS
Punkte1,94
Rang#129  Overall
#12  Graph DBMS
Punkte0,40
Rang#269  Overall
#124  Relational DBMS
Punkte0,29
Rang#293  Overall
#133  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Websitecloud.google.com/­spannerjanusgraph.orgkyligence.io/­kyligence-enterprisegoogle.github.io/­lovefieldazure.microsoft.com/­services/­data-explorer
Technische Dokumentationcloud.google.com/­spanner/­docsdocs.janusgraph.orggithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerGoogleLinux Foundation; originally developed as Titan by AureliusKyligence, Inc.GoogleMicrosoft
Erscheinungsjahr20172017201620142019
Aktuelle Version0.6.3, Februar 20232.1.12, February 2017cloud service with continuous releases
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache 2.0kommerziellOpen Source infoApache 2.0kommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinneinneinja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaJavaJavaScript
Server BetriebssystemegehostetLinux
OS X
Unix
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safarigehostet
DatenschemajajajajaFixed 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
Sekundärindizesjajajajaall fields are automatically indexed
SQL infoSupport of SQLja infoQuery statements complying to ANSI 2011neinANSI SQL for queries (using Apache Calcite)SQL-like query language infovia JavaScript builder patternKusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzeptegRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte ProgrammiersprachenGo
Java
JavaScript (Node.js)
Python
Clojure
Java
Python
JavaScript.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored ProceduresneinjaneinYes, possible languages: KQL, Python, R
TriggersneinjaUsing read-only observersja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingja infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)keineSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-source replication with 3 replicas for regional instances.jakeineja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce Operationenja infousing Google Cloud Dataflowja infovia Faunus, a graph analytics enginejaneinSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätja infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityja infoRelationships in graphsjanein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACID infoStrict serializable isolationACIDACIDnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjaja infoUnterstützt verschiedene Storage Backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastjayes, by using IndexedDB or the cloud service Firebase Realtime Databaseja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinja infousing MemoryDBnein
Berechtigungskonzept infoZugriffskontrolleAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Benutzer Authentification und Sicherheit via Rexster Graph ServerneinAzure Active Directory Authentication

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Weitere Ressourcen
Google Cloud SpannerJanusGraph infosuccessor of TitanKyligence EnterpriseLovefieldMicrosoft Azure Data Explorer
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