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DBMS > AlaSQL vs. Graph Engine vs. GridDB vs. IBM Db2 warehouse vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften AlaSQL vs. Graph Engine vs. GridDB vs. IBM Db2 warehouse vs. Microsoft Azure Data Explorer

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAlaSQL  Xaus Vergleich ausschliessenGraph Engine infoformer name: Trinity  Xaus Vergleich ausschliessenGridDB  Xaus Vergleich ausschliessenIBM Db2 warehouse infoformerly named IBM dashDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
KurzbeschreibungJavaScript DBMS libraryA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineScalable in-memory time series database optimized for IoT and Big DataData warehousing service aus der CloudFully managed big data interactive analytics platform
Primäres DatenbankmodellDocument Store
Relational DBMS
Graph DBMS
Key-Value Store
Time Series DBMSRelational DBMSRelational DBMS infocolumn oriented
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
Punkte0,46
Rang#260  Overall
#40  Document Stores
#121  Relational DBMS
Punkte0,61
Rang#240  Overall
#21  Graph DBMS
#35  Key-Value Stores
Punkte1,95
Rang#128  Overall
#10  Time Series DBMS
Punkte1,30
Rang#164  Overall
#75  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Websitealasql.orgwww.graphengine.iogriddb.netwww.ibm.com/­products/­db2/­warehouseazure.microsoft.com/­services/­data-explorer
Technische Dokumentationgithub.com/­AlaSQL/­alasqlwww.graphengine.io/­docs/­manualdocs.griddb.netdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerAndrey Gershun & Mathias R. WulffMicrosoftToshiba CorporationIBMMicrosoft
Erscheinungsjahr20142010201320142019
Aktuelle Version5.1, August 2022cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoMIT LicenseOpen 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 verfügbarneinneinneinjaja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaScript.NET and CC++
Server Betriebssystemeserver-less, requires a JavaScript environment (browser, Node.js).NETLinuxgehostetgehostet
DatenschemaschemafreijajajaFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder dateneinjaja infonumerical, string, blob, geometry, boolean, timestampjaja 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, XSLTneinneinneinnein infoImportieren/Exportieren von XML Daten möglichja
Sekundärindizesneinjajaall fields are automatically indexed
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.neinSQL92, SQL-like TQL (Toshiba Query Language)jaKusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzepteJavaScript APIRESTful HTTP APIJDBC
ODBC
Proprietäres Protokoll
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
OLE DB
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte ProgrammiersprachenJavaScriptC#
C++
F#
Visual Basic
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored ProceduresneinjaneinPL/SQL, SQL PLYes, possible languages: KQL, Python, R
Triggersjaneinjajaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkeinehorizontale PartitionierungShardingShardingSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenkeineSource-Replica Replikationjaja 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 jobsneinSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemkeineImmediate consistency within container, eventual consistency across containersImmediate ConsistencyEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätjaneinneinjanein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenja infoonly for local storage and DOM-storageneinACID at container levelACIDnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenja infoby using IndexedDB, SQL.JS or proprietary FileStorageoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storagejajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajajajanein
Berechtigungskonzept infoZugriffskontrolleneinAccess rights for users can be defined per databaseBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAzure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
AlaSQLGraph Engine infoformer name: TrinityGridDBIBM Db2 warehouse infoformerly named IBM dashDBMicrosoft 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
AlaSQLGraph Engine infoformer name: TrinityGridDBIBM Db2 warehouse infoformerly named IBM dashDBMicrosoft Azure Data Explorer
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