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DBMS > Adabas vs. Bangdb vs. Google Cloud Bigtable vs. Microsoft Azure Data Explorer vs. RethinkDB

Vergleich der Systemeigenschaften Adabas vs. Bangdb vs. Google Cloud Bigtable vs. Microsoft Azure Data Explorer vs. RethinkDB

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NameAdabas infosteht für "Adaptable Data Base"  Xaus Vergleich ausschliessenBangdb  Xaus Vergleich ausschliessenGoogle Cloud Bigtable  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRethinkDB  Xaus Vergleich ausschliessen
KurzbeschreibungOLTP - DBMS für Großrechner und Linux/Unix/Windows Umgebungen infotypischerweise zusammen mit der Natural Programmierumgebung verwendetConverged and high performance database for device data, events, time series, document and graphGoogle'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 DatenbankmodellMultivalue DBMSDocument Store
Graph DBMS
Time Series DBMS
Key-Value Store
Wide Column Store
Relational DBMS infocolumn orientedDocument 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
Punkte2,79
Rang#102  Overall
#2  Multivalue DBMS
Punkte0,16
Rang#338  Overall
#47  Document Stores
#32  Graph DBMS
#31  Time Series DBMS
Punkte3,15
Rang#95  Overall
#14  Key-Value Stores
#8  Wide Column Stores
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte2,66
Rang#107  Overall
#20  Document Stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlbangdb.comcloud.google.com/­bigtableazure.microsoft.com/­services/­data-explorerrethinkdb.com
Technische Dokumentationdocs.bangdb.comcloud.google.com/­bigtable/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerrethinkdb.com/­docs
EntwicklerSoftware AGSachin Sinha, BangDBGoogleMicrosoftThe Linux Foundation infosince July 2017
Erscheinungsjahr19712012201520192009
Aktuelle VersionBangDB 2.0, October 2021cloud service with continuous releases2.4.1, August 2020
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoBSD 3kommerziellkommerziellOpen 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.
ImplementierungsspracheC, C++C++
Server BetriebssystemeBS2000
Linux
Unix
Windows
z/OS
z/VSE
LinuxgehostetgehostetLinux
OS X
Windows
DatenschemajaschemafreischemafreiFixed schema with schema-less datatypes (dynamic)schemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejayes: string, long, double, int, geospatial, stream, eventsneinja 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
Sekundärindizesjaja infosecondary, composite, nested, reverse, geospatialneinall fields are automatically indexedja
SQL infoSupport of SQLja infomit Zusatzprodukt Adabas SQL GatewaySQL like support with command line toolneinKusto Query Language (KQL), SQL subsetnein
APIs und andere ZugriffskonzepteHTTP API infomit Zusatzsoftware Adabas SOA Gateway
SOAP-basiertes API infomit Zusatzsoftware Adabas SOA Gateway
Propriätäres Protokoll
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 ProgrammiersprachenNaturalC
C#
C++
Java
Python
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 Proceduresin NaturalneinneinYes, possible languages: KQL, Python, R
Triggersneinyes, Notifications (with Streaming only)neinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyClient-side triggers through changefeeds
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenja, mit Zusatzprodukten wie Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding infoImplicit feature of the cloud serviceSharding inforange based
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja, mit Zusatzprodukt Event Replikatorselectable replication factor, Knob for CAP (enterprise version only)Internal 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 OperationenneinneinjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparkja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDAtomic single-row operationsneinAtomic single-document operations
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjayes, optimistic concurrency controljajaja infoMVCC based
Durability infoDauerhafte Speicherung der Datenjayes, implements WAL (Write ahead log) as welljajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinyes, run db with in-memory only modeneinneinnein
Berechtigungskonzept infoZugriffskontrollenur mittels betriebssystem-spezifischen Werkzeugen (z.B. IBM RACF, CA Top Secret)yes (enterprise version only)Access 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
Adabas infosteht für "Adaptable Data Base"BangdbGoogle Cloud BigtableMicrosoft Azure Data ExplorerRethinkDB
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