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DBMS > AgensGraph vs. Faircom EDGE vs. GigaSpaces vs. Microsoft Azure Data Explorer vs. VelocityDB

Vergleich der Systemeigenschaften AgensGraph vs. Faircom EDGE vs. GigaSpaces vs. Microsoft Azure Data Explorer vs. VelocityDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAgensGraph  Xaus Vergleich ausschliessenFaircom EDGE infoformerly c-treeEDGE  Xaus Vergleich ausschliessenGigaSpaces  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenVelocityDB  Xaus Vergleich ausschliessen
KurzbeschreibungMulti-model database supporting relational and graph data models and built upon PostgreSQLFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsFully managed big data interactive analytics platformA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primäres DatenbankmodellGraph DBMS
Relational DBMS
Key-Value Store
Relational DBMS
Document Store
Object oriented DBMS infoValues are user defined objects
Relational DBMS infocolumn orientedGraph DBMS
Object oriented DBMS
Sekundäre DatenbankmodelleGraph DBMS
Suchmaschine
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
Punkte0,20
Rang#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Punkte0,02
Rang#368  Overall
#54  Key-Value Stores
#156  Relational DBMS
Punkte0,97
Rang#192  Overall
#32  Document Stores
#6  Object oriented DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,05
Rang#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitebitnine.net/­agensgraphwww.faircom.com/­products/­faircom-edgewww.gigaspaces.comazure.microsoft.com/­services/­data-explorervelocitydb.com
Technische Dokumentationbitnine.net/­documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.gigaspaces.com/­latest/­landing.htmldocs.microsoft.com/­en-us/­azure/­data-explorervelocitydb.com/­UserGuide
EntwicklerBitnine Global Inc.FairCom CorporationGigaspaces TechnologiesMicrosoftVelocityDB Inc
Erscheinungsjahr20161979200020192011
Aktuelle Version2.1, Dezember 2018V3, Oktober 202015.5, September 2020cloud service with continuous releases7.x
Lizenz infoCommercial or Open SourceOpen Source infoApache License 2.0kommerziell infoRestricted, free version availableOpen Source infoApache Version 2; Commercial licenses availablekommerziellkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheCANSI C, C++Java, C++, .NetC#
Server BetriebssystemeLinux
OS X
Windows
Android
Linux infoARM, x86
Raspbian
Windows
Linux
macOS
Solaris
Windows
gehostetAny that supports .NET
Datenschemadepending on used data modelFlexible Schema (defined schema, partial schema, schema free)schemafreiFixed schema with schema-less datatypes (dynamic)ja
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja, ANSI Standard SQL Typesjaja 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, XSLTneinjanein infoXML can be used for describing objects metadatajanein
Sekundärindizesjajajaall fields are automatically indexedja
SQL infoSupport of SQLjaja infoANSI SQL queriesSQL-99 for query and DML statementsKusto Query Language (KQL), SQL subsetnein
APIs und andere ZugriffskonzepteCypher Query Language
JDBC
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
.Net
Unterstützte ProgrammiersprachenC
Java
JavaScript
Python
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C++
Java
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
Server-seitige Scripts infoStored Proceduresjaja info.Net, JavaScript, C/C++jaYes, possible languages: KQL, Python, Rnein
Triggersneinjajaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyCallbacks are triggered when data changes
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotennein, aber über Tabellenvererbung möglichFile partitioning infoCustomizable business rules for partitioningShardingSharding infoImplicit feature of the cloud serviceSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSource-Replica Replikationja infoSynchronous and asynchronous realtime replication based on transaction logsMulti-Source Replikation infosynchronous or asynchronous
Source-Replica Replikation infosynchronous or asynchronous
ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinja infoMap-Reduce pattern can be built with XAP task executorsSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätjaja infowhen using SQLneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDACIDneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjaja infoacross SQL and NoSQLjajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjajaneinja
Berechtigungskonzept infoZugriffskontrolleBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Role-based access controlAzure Active Directory AuthenticationBased on Windows Authentication

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Weitere Ressourcen
AgensGraphFaircom EDGE infoformerly c-treeEDGEGigaSpacesMicrosoft Azure Data ExplorerVelocityDB
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