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DBMS > Faircom EDGE vs. jBASE vs. Microsoft Azure Data Explorer vs. Microsoft Azure Synapse Analytics vs. Splice Machine

Vergleich der Systemeigenschaften Faircom EDGE vs. jBASE vs. Microsoft Azure Data Explorer vs. Microsoft Azure Synapse Analytics vs. Splice Machine

Redaktionelle Informationen bereitgestellt von DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xaus Vergleich ausschliessenjBASE  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xaus Vergleich ausschliessenSplice Machine  Xaus Vergleich ausschliessen
KurzbeschreibungFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA robust multi-value DBMS comprising development tools and middlewareFully managed big data interactive analytics platformElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primäres DatenbankmodellKey-Value Store
Relational DBMS
Multivalue DBMSRelational DBMS infocolumn orientedRelational DBMSRelational DBMS
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
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,09
Rang#362  Overall
#53  Key-Value Stores
#155  Relational DBMS
Punkte1,49
Rang#156  Overall
#3  Multivalue DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte19,93
Rang#31  Overall
#19  Relational DBMS
Punkte0,54
Rang#252  Overall
#115  Relational DBMS
Websitewww.faircom.com/­products/­faircom-edgewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaseazure.microsoft.com/­services/­data-explorerazure.microsoft.com/­services/­synapse-analyticssplicemachine.com
Technische Dokumentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.microsoft.com/­en-us/­azure/­data-explorerdocs.microsoft.com/­azure/­synapse-analyticssplicemachine.com/­how-it-works
EntwicklerFairCom CorporationRocket Software (früher Zumasys)MicrosoftMicrosoftSplice Machine
Erscheinungsjahr19791991201920162014
Aktuelle VersionV3, Oktober 20205.7cloud service with continuous releases3.1, March 2021
Lizenz infoCommercial or Open Sourcekommerziell infoRestricted, free version availablekommerziellkommerziellkommerziellOpen Source infoAGPL 3.0, commercial license available
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.
ImplementierungsspracheANSI C, C++C++Java
Server BetriebssystemeAndroid
Linux infoARM, x86
Raspbian
Windows
AIX
Linux
Windows
gehostetgehostetLinux
OS X
Solaris
Windows
DatenschemaFlexible Schema (defined schema, partial schema, schema free)schemafreiFixed schema with schema-less datatypes (dynamic)jaja
Typisierung infovordefinierte Datentypen, z.B. float oder dateja, ANSI Standard SQL Typesoptionalja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjajajanein
Sekundärindizesjaall fields are automatically indexedjaja
SQL infoSupport of SQLja infoANSI SQL queriesEmbedded SQL for jBASE in BASICKusto Query Language (KQL), SQL subsetjaja
APIs und andere ZugriffskonzepteADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
Propriätäres Protokoll
RESTful HTTP API
SOAP-basiertes API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Unterstützte ProgrammiersprachenC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
Basic
Jabbascript
Java
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C#
Java
PHP
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-seitige Scripts infoStored Proceduresja info.Net, JavaScript, C/C++jaYes, possible languages: KQL, Python, RTransact SQLja infoJava
Triggersjajaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenFile partitioning infoCustomizable business rules for partitioningShardingSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infoSynchronous and asynchronous realtime replication based on transaction logsjaja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.jaMulti-Source Replikation
Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinYes, via Full Spark Integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätja infowhen using SQLneinneinnein infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDneinACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja infoacross SQL and NoSQLjajajayes, multi-version concurrency control (MVCC)
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinja
Berechtigungskonzept infoZugriffskontrolleFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights can be defined down to the item levelAzure Active Directory AuthenticationjaAccess rights for users, groups and roles according to SQL-standard

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Weitere Ressourcen
Faircom EDGE infoformerly c-treeEDGEjBASEMicrosoft Azure Data ExplorerMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSplice Machine
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