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DBMS > Axibase vs. BigObject vs. Google Cloud Bigtable vs. Microsoft Azure Data Explorer vs. RethinkDB

Vergleich der Systemeigenschaften Axibase vs. BigObject vs. Google Cloud Bigtable vs. Microsoft Azure Data Explorer vs. RethinkDB

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NameAxibase  Xaus Vergleich ausschliessenBigObject  Xaus Vergleich ausschliessenGoogle Cloud Bigtable  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRethinkDB  Xaus Vergleich ausschliessen
KurzbeschreibungSkalierbares Timeseries DBMS basierend auf HBase mit integrierter Rule Engine und VisualisierungAnalytic DBMS für Echtzeitberechnungen und QueriesGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Fully managed big data interactive analytics platformDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primäres DatenbankmodellTime Series DBMSRelational DBMS infoEin hierarchisches Modell (Baum) kann einer Tabelle übergestülpt werdenKey-Value Store
Wide Column Store
Relational DBMS infocolumn orientedDocument 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
Spatial DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,29
Rang#292  Overall
#25  Time Series DBMS
Punkte0,13
Rang#333  Overall
#147  Relational DBMS
Punkte3,26
Rang#92  Overall
#13  Key-Value Stores
#8  Wide Column Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte2,74
Rang#105  Overall
#19  Document Stores
Websiteaxibase.com/­docs/­atsd/­financebigobject.iocloud.google.com/­bigtableazure.microsoft.com/­services/­data-explorerrethinkdb.com
Technische Dokumentationdocs.bigobject.iocloud.google.com/­bigtable/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerrethinkdb.com/­docs
EntwicklerAxibase CorporationBigObject, Inc.GoogleMicrosoftThe Linux Foundation infosince July 2017
Erscheinungsjahr20132015201520192009
Aktuelle Version15585cloud service with continuous releases2.4.1, August 2020
Lizenz infoCommercial or Open Sourcekommerziell infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidkommerziell infokostenlose community edition verfügbarkommerziellkommerziellOpen Source infoApache Version 2
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjajanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaC++
Server BetriebssystemeLinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
gehostetgehostetLinux
OS X
Windows
DatenschemajajaschemafreiFixed schema with schema-less datatypes (dynamic)schemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder dateja infoshort, integer, long, float, double, decimal, stringjaneinja 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, geometry
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinjanein
Sekundärindizesneinjaneinall fields are automatically indexedja
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsneinKusto Query Language (KQL), SQL subsetnein
APIs und andere ZugriffskonzepteJDBC
Proprietary protocol (Network API)
RESTful HTTP API
fluentd
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte ProgrammiersprachenGo
Java
PHP
Python
R
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
.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
Server-seitige Scripts infoStored ProceduresjaLuaneinYes, possible languages: KQL, Python, R
Triggersjaneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyClient-side triggers through changefeeds
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingkeineShardingSharding infoImplicit feature of the cloud serviceSharding inforange based
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSource-Replica ReplikationkeineInternal replication in Colossus, and regional replication between two clusters in different zonesja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce OperationenjaneinjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparkja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemkeineImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinja infoautomatically between fact table and dimension tablesneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinneinAtomic single-row operationsneinAtomic single-document operations
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjaja infoRead/write lock on objects (tables, trees)jajaja infoMVCC based
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinneinnein
Berechtigungskonzept infoZugriffskontrolleneinAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Azure Active Directory Authenticationja infousers and table-level permissions

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Weitere Ressourcen
AxibaseBigObjectGoogle Cloud BigtableMicrosoft Azure Data ExplorerRethinkDB
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