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DBMS > Faircom EDGE vs. GridGain vs. Hyprcubd vs. Microsoft Azure Data Explorer vs. Stardog

Vergleich der Systemeigenschaften Faircom EDGE vs. GridGain vs. Hyprcubd vs. Microsoft Azure Data Explorer vs. Stardog

Redaktionelle Informationen bereitgestellt von DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xaus Vergleich ausschliessenGridGain  Xaus Vergleich ausschliessenHyprcubd  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenStardog  Xaus Vergleich ausschliessen
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
KurzbeschreibungFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsGridGain is an in-memory computing platform, built on Apache IgniteServerless Time Series DBMSFully managed big data interactive analytics platformEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primäres DatenbankmodellKey-Value Store
Relational DBMS
Columnar
Key-Value Store
Object oriented DBMS
Relational DBMS
Time Series DBMSRelational DBMS infocolumn orientedGraph DBMS
RDF Store
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
Punkte0,02
Rang#370  Overall
#55  Key-Value Stores
#157  Relational DBMS
Punkte1,48
Rang#150  Overall
#1  Columnar
#26  Key-Value Stores
#2  Object oriented DBMS
#69  Relational DBMS
Punkte3,28
Rang#83  Overall
#45  Relational DBMS
Punkte1,93
Rang#121  Overall
#10  Graph DBMS
#6  RDF Stores
Websitewww.faircom.com/­products/­faircom-edgewww.gridgain.comhyprcubd.com (offline)azure.microsoft.com/­services/­data-explorerwww.stardog.com
Technische Dokumentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.gridgain.com/­docs/­index.htmldocs.microsoft.com/­en-us/­azure/­data-explorerdocs.stardog.com
EntwicklerFairCom CorporationGridGain Systems, Inc.Hyprcubd, Inc.MicrosoftStardog-Union
Erscheinungsjahr1979200720192010
Aktuelle VersionV3, Oktober 2020GridGain 8.5.1cloud service with continuous releases7.3.0, Mai 2020
Lizenz infoCommercial or Open Sourcekommerziell infoRestricted, free version availablekommerziellkommerziellkommerziellkommerziell info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
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++Java, C++, .Net, Python, REST, SQLGoJava
Server BetriebssystemeAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Solaris
Windows
z/OS
gehostetgehostetLinux
macOS
Windows
DatenschemaFlexible Schema (defined schema, partial schema, schema free)jajaFixed schema with schema-less datatypes (dynamic)schema-free and OWL/RDFS-schema support
Typisierung infovordefinierte Datentypen, z.B. float oder dateja, ANSI Standard SQL Typesjaja infotime, int, uint, float, stringja 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, XSLTjajaneinjanein infoImportieren/Exportieren von XML Daten möglich
Sekundärindizesjajaneinall fields are automatically indexedja infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLja infoANSI SQL queriesANSI-99 for query and DML statements, subset of DDLSQL-like query languageKusto Query Language (KQL), SQL subsetYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs und andere ZugriffskonzepteADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Propriätäres Protokoll
RESTful HTTP API
Spring Data
gRPC (https)Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Unterstützte ProgrammiersprachenC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-seitige Scripts infoStored Proceduresja info.Net, JavaScript, C/C++yes (compute grid and cache interceptors can be used instead)neinYes, possible languages: KQL, Python, Ruser defined functions and aggregates, HTTP Server extensions in Java
Triggersjayes (cache interceptors and events)neinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infovia event handlers
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenFile partitioning infoCustomizable business rules for partitioningShardingSharding infoImplicit feature of the cloud servicekeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infoSynchronous and asynchronous realtime replication based on transaction logsyes (replicated cache)ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source Replikation in HA-Cluster
MapReduce infoBietet ein API für Map/Reduce Operationenneinyes (compute grid and hadoop accelerator)neinSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency
Tunable Consistency
Immediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency in HA-Cluster
Fremdschlüssel inforeferenzielle Integritätja infowhen using SQLneinneinneinja infoBeziehungen in Graphen
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDneinneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja infoacross SQL and NoSQLjaneinjaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinneinja
Berechtigungskonzept infoZugriffskontrolleFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Role-based access control
Security Hooks for custom implementations
token accessAzure Active Directory AuthenticationZugriffsrechte für Benutzer und Rollen

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Weitere Ressourcen
Faircom EDGE infoformerly c-treeEDGEGridGainHyprcubdMicrosoft Azure Data ExplorerStardog
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bereitgestellt von Google News

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bereitgestellt von Google News

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