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DBMS > Google Cloud Spanner vs. H2 vs. Microsoft Azure Data Explorer vs. RethinkDB vs. SwayDB

Vergleich der Systemeigenschaften Google Cloud Spanner vs. H2 vs. Microsoft Azure Data Explorer vs. RethinkDB vs. SwayDB

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NameGoogle Cloud Spanner  Xaus Vergleich ausschliessenH2  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRethinkDB  Xaus Vergleich ausschliessenSwayDB  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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Fully managed big data interactive analytics platformDBMS for the Web with a mechanism to push updated query results to applications in realtime.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primäres DatenbankmodellRelational DBMSRelational DBMSRelational DBMS infocolumn orientedDocument StoreKey-Value Store
Sekundäre DatenbankmodelleSpatial 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
Spatial DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte2,89
Rang#103  Overall
#52  Relational DBMS
Punkte8,13
Rang#49  Overall
#31  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte2,74
Rang#105  Overall
#19  Document Stores
Punkte0,00
Rang#382  Overall
#59  Key-Value Stores
Websitecloud.google.com/­spannerwww.h2database.comazure.microsoft.com/­services/­data-explorerrethinkdb.comswaydb.simer.au
Technische Dokumentationcloud.google.com/­spanner/­docswww.h2database.com/­html/­main.htmldocs.microsoft.com/­en-us/­azure/­data-explorerrethinkdb.com/­docs
EntwicklerGoogleThomas MuellerMicrosoftThe Linux Foundation infosince July 2017Simer Plaha
Erscheinungsjahr20172005201920092018
Aktuelle Version2.2.220, Juli 2023cloud service with continuous releases2.4.1, August 2020
Lizenz infoCommercial or Open SourcekommerziellOpen Source infodual-licence (Mozilla public license, Eclipse public license)kommerziellOpen Source infoApache Version 2Open Source infoGNU Affero GPL V3.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinjaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaC++Scala
Server BetriebssystemegehostetAlle Betriebssysteme mit einer Java VMgehostetLinux
OS X
Windows
DatenschemajajaFixed schema with schema-less datatypes (dynamic)schemafreischemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja infostring, binary, float, bool, date, geometrynein
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjaneinnein
Sekundärindizesjajaall fields are automatically indexedjanein
SQL infoSupport of SQLja infoQuery statements complying to ANSI 2011jaKusto Query Language (KQL), SQL subsetneinnein
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
JDBC
ODBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte ProgrammiersprachenGo
Java
JavaScript (Node.js)
Python
Java.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Java
Kotlin
Scala
Server-seitige Scripts infoStored ProceduresneinJava Stored Procedures and User-Defined FunctionsYes, possible languages: KQL, Python, Rnein
Triggersneinjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyClient-side triggers through changefeedsnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingkeineSharding infoImplicit feature of the cloud serviceSharding inforange basedkeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-source replication with 3 replicas for regional instances.With clustering: 2 database servers on different computers operate on identical copies of a databaseja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikationkeine
MapReduce infoBietet ein API für Map/Reduce Operationenja infousing Google Cloud DataflowneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkjanein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätja infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityjaneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACID infoStrict serializable isolationACIDneinAtomic single-document operationsAtomic execution of operations
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjayes, multi-version concurrency control (MVCC)jaja infoMVCC basedja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjaneinneinja
Berechtigungskonzept infoZugriffskontrolleAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAzure Active Directory Authenticationja infousers and table-level permissionsnein

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Weitere Ressourcen
Google Cloud SpannerH2Microsoft Azure Data ExplorerRethinkDBSwayDB
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