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DBMS > Amazon DynamoDB vs. BigchainDB vs. GridDB vs. Microsoft Azure Data Explorer vs. Microsoft Azure Table Storage

Vergleich der Systemeigenschaften Amazon DynamoDB vs. BigchainDB vs. GridDB vs. Microsoft Azure Data Explorer vs. Microsoft Azure Table Storage

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAmazon DynamoDB  Xaus Vergleich ausschliessenBigchainDB  Xaus Vergleich ausschliessenGridDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenMicrosoft Azure Table Storage  Xaus Vergleich ausschliessen
KurzbeschreibungGehostetes, skalierbares Datenbankservice von Amazon; die Daten werden in der Amazon Cloud gespeichertBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsScalable in-memory time series database optimized for IoT and Big DataFully managed big data interactive analytics platformA Wide Column Store for rapid development using massive semi-structured datasets
Primäres DatenbankmodellDocument Store
Key-Value Store
Document StoreTime Series DBMSRelational DBMS infocolumn orientedWide Column Store
Sekundäre DatenbankmodelleKey-Value Store
Relational DBMS
Document 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
Punkte74,07
Rang#17  Overall
#3  Document Stores
#2  Key-Value Stores
Punkte0,79
Rang#212  Overall
#36  Document Stores
Punkte1,95
Rang#128  Overall
#10  Time Series DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte4,48
Rang#75  Overall
#6  Wide Column Stores
Websiteaws.amazon.com/­dynamodbwww.bigchaindb.comgriddb.netazure.microsoft.com/­services/­data-explorerazure.microsoft.com/­en-us/­services/­storage/­tables
Technische Dokumentationdocs.aws.amazon.com/­dynamodbbigchaindb.readthedocs.io/­en/­latestdocs.griddb.netdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerAmazonToshiba CorporationMicrosoftMicrosoft
Erscheinungsjahr20122016201320192012
Aktuelle Version5.1, August 2022cloud service with continuous releases
Lizenz infoCommercial or Open Sourcekommerziell infokostenlos bis zu einer gewissen Anzahl von DatenbankoperationenOpen Source infoAGPL v3Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablekommerziellkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinneinjaja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungssprachePythonC++
Server BetriebssystemegehostetLinuxLinuxgehostetgehostet
DatenschemaschemafreischemafreijaFixed schema with schema-less datatypes (dynamic)schemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejaneinja infonumerical, string, blob, geometry, boolean, timestampja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjanein
Sekundärindizesjajaall fields are automatically indexednein
SQL infoSupport of SQLneinneinSQL92, SQL-like TQL (Toshiba Query Language)Kusto Query Language (KQL), SQL subsetnein
APIs und andere ZugriffskonzepteRESTful HTTP APICLI Client
RESTful HTTP API
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP/JSON API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP API
Unterstützte Programmiersprachen.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Go
Haskell
Java
JavaScript
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-seitige Scripts infoStored ProceduresneinneinYes, possible languages: KQL, Python, Rnein
Triggersja infoby integration with AWS Lambdajaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingShardingSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenjafrei wählbarer ReplikationsfaktorSource-Replica Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.ja infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce Operationennein infokann über Amazon Elastic MapReduce (Amazon EMR) realisiert werdenneinConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Immediate Consistency infokann bei LeseOperationen spezifiziert werden
Immediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACID infoACID across one or more tables within a single AWS account and regionACID at container levelneinoptimistic Locking
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjayes,with MongoDB ord RethinkDBjajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinnein
Berechtigungskonzept infoZugriffskontrolleZugriffsrechte für Benutzer und Rollen über AWS Identity and Access Management (IAM) definierbaryesAccess rights for users can be defined per databaseAzure Active Directory AuthenticationAccess rights based on private key authentication or shared access signatures
Weitere Informationen bereitgestellt vom Systemhersteller
Amazon DynamoDBBigchainDBGridDBMicrosoft Azure Data ExplorerMicrosoft Azure Table Storage
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
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Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
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Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» mehr
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
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Market metricsGitHub trending repository
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Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
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Wir laden Vertreter der Systemhersteller ein uns zu kontaktieren, um die Systeminformationen zu aktualisieren und zu ergänzen,
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Weitere Ressourcen
Amazon DynamoDBBigchainDBGridDBMicrosoft Azure Data ExplorerMicrosoft Azure Table Storage
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