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DBMS > BigchainDB vs. GridDB vs. IRONdb vs. Linter vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften BigchainDB vs. GridDB vs. IRONdb vs. Linter vs. Microsoft Azure Data Explorer

Redaktionelle Informationen bereitgestellt von DB-Engines
NameBigchainDB  Xaus Vergleich ausschliessenGridDB  Xaus Vergleich ausschliessenIRONdb  Xaus Vergleich ausschliessenLinter  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
KurzbeschreibungBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsScalable in-memory time series database optimized for IoT and Big DataA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRDBMS for high security requirementsFully managed big data interactive analytics platform
Primäres DatenbankmodellDocument StoreTime Series DBMSTime Series DBMSRelational DBMSRelational DBMS infocolumn oriented
Sekundäre DatenbankmodelleKey-Value Store
Relational DBMS
Spatial 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
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,85
Rang#208  Overall
#35  Document Stores
Punkte2,09
Rang#120  Overall
#10  Time Series DBMS
Punkte0,12
Rang#350  Overall
#152  Relational DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Websitewww.bigchaindb.comgriddb.netwww.circonus.com/solutions/time-series-database/linter.ruazure.microsoft.com/­services/­data-explorer
Technische Dokumentationbigchaindb.readthedocs.io/­en/­latestdocs.griddb.netdocs.circonus.com/irondb/category/getting-starteddocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerToshiba CorporationCirconus LLC.relex.ruMicrosoft
Erscheinungsjahr20162013201719902019
Aktuelle Version5.1, August 2022V0.10.20, January 2018cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablekommerziellkommerziellkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinneinja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungssprachePythonC++C und C++C und C++
Server BetriebssystemeLinuxLinuxLinuxAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
gehostet
DatenschemaschemafreijaschemafreijaFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder dateneinja infonumerical, string, blob, geometry, boolean, timestampja infotext, numeric, histogramsjaja 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
Sekundärindizesjaneinjaall fields are automatically indexed
SQL infoSupport of SQLneinSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query language (Circonus Analytics Query Language: CAQL)jaKusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzepteCLI Client
RESTful HTTP API
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP/JSON API
HTTP APIADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte ProgrammiersprachenGo
Haskell
Java
JavaScript
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored Proceduresneinyes, in Luaja infoproprietary syntax with the possibility to convert from PL/SQLYes, possible languages: KQL, Python, R
Triggersjaneinjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingAutomatic, metric affinity per nodekeineSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenfrei wählbarer ReplikationsfaktorSource-Replica Replikationconfigurable replication factor, datacenter awareSource-Replica Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce OperationenneinConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate consistency within container, eventual consistency across containersImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinjanein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACID at container levelneinACIDnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenyes,with MongoDB ord RethinkDBjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinnein
Berechtigungskonzept infoZugriffskontrolleyesAccess rights for users can be defined per databaseneinBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAzure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
BigchainDBGridDBIRONdbLinterMicrosoft Azure Data Explorer
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» mehr
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» mehr
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...
» mehr
Market metricsGitHub trending repository
» mehr
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» mehr

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Weitere Ressourcen
BigchainDBGridDBIRONdbLinterMicrosoft Azure Data Explorer
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