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DBMS > DuckDB vs. Faircom EDGE vs. Manticore Search vs. Microsoft Azure Data Explorer vs. Virtuoso

Vergleich der Systemeigenschaften DuckDB vs. Faircom EDGE vs. Manticore Search vs. Microsoft Azure Data Explorer vs. Virtuoso

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDuckDB  Xaus Vergleich ausschliessenFaircom EDGE infoformerly c-treeEDGE  Xaus Vergleich ausschliessenManticore Search  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenVirtuoso  Xaus Vergleich ausschliessen
KurzbeschreibungAn embeddable, in-process, column-oriented SQL OLAP RDBMSFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsMulti-storage database for search, including full-text search.Fully managed big data interactive analytics platformVirtuoso ist ein RDBMS das auch Graphen und RDF-Strukturen unterstützt
Primäres DatenbankmodellRelational DBMSKey-Value Store
Relational DBMS
SuchmaschineRelational DBMS infocolumn orientedDocument Store
Graph DBMS
Native XML DBMS
Relational DBMS
RDF Store
Suchmaschine
Sekundäre DatenbankmodelleTime Series DBMS infousing the Manticore Columnar LibraryDocument 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
Spatial DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte4,63
Rang#69  Overall
#37  Relational DBMS
Punkte0,09
Rang#362  Overall
#53  Key-Value Stores
#155  Relational DBMS
Punkte0,29
Rang#302  Overall
#21  Suchmaschinen
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte4,27
Rang#73  Overall
#13  Document Stores
#4  Graph DBMS
#2  Native XML DBMS
#39  Relational DBMS
#2  RDF Stores
#9  Suchmaschinen
Websiteduckdb.orgwww.faircom.com/­products/­faircom-edgemanticoresearch.comazure.microsoft.com/­services/­data-explorervirtuoso.openlinksw.com
Technische Dokumentationduckdb.org/­docsdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlmanual.manticoresearch.comdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.openlinksw.com/­virtuoso
EntwicklerFairCom CorporationManticore SoftwareMicrosoftOpenLink Software
Erscheinungsjahr20181979201720191998
Aktuelle Version1.0.0, Juni 2024V3, Oktober 20206.0, Februar 2023cloud service with continuous releases7.2.11, September 2023
Lizenz infoCommercial or Open SourceOpen Source infoMIT Licensekommerziell infoRestricted, free version availableOpen Source infoGPL Version 2kommerziellOpen Source infoGPLv2, erweiterte kommerzielle Lizenz verfügbar
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.
ImplementierungsspracheC++ANSI C, C++C++C
Server BetriebssystemeserverlosAndroid
Linux infoARM, x86
Raspbian
Windows
FreeBSD
Linux
macOS
Windows
gehostetAIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
DatenschemajaFlexible Schema (defined schema, partial schema, schema free)Fixed schemaFixed schema with schema-less datatypes (dynamic)ja infoSQL - Standard relational schema
RDF - Quad (S, P, O, G) or Triple (S, P, O)
XML - DTD, XML Schema
DAV - freeform filesystem objects, plus User Defined Types a/k/a Dynamic Extension Type
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja, ANSI Standard SQL TypesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanja 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, XSLTneinjaCan index from XMLjaja
Sekundärindizesjajaja infoFull-Text Index auf allen Suchfeldernall fields are automatically indexedja
SQL infoSupport of SQLjaja infoANSI SQL queriesSQL-like query languageKusto Query Language (KQL), SQL subsetja infoSQL-92, SQL-200x, SQL-3, SQLX
APIs und andere ZugriffskonzepteArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
GeoSPARQL
HTTP API
JDBC
Jena RDF API
ODBC
OLE DB
RDF4J API
RESTful HTTP API
Sesame REST HTTP Protocol
SOAP webservices
SPARQL 1.1
WebDAV
XPath
XQuery
XSLT
Unterstützte ProgrammiersprachenC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-seitige Scripts infoStored Proceduresneinja info.Net, JavaScript, C/C++user defined functionsYes, possible languages: KQL, Python, Rja infoVirtuoso PL
Triggersneinjaneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineFile partitioning infoCustomizable business rules for partitioningSharding infoAufteilung der Daten erfolgt manuell, Suchabfragen auf verteilten Index werden unterstützt.Sharding infoImplicit feature of the cloud serviceja
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenkeineja infoSynchronous and asynchronous realtime replication based on transaction logsSynchronous replication based on Galera libraryja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Chain, star, and bi-directional replication
Multi-Source Replikation
Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinja infowhen using SQLneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDja infoisolated transactions for atomic changes and binary logging for safe writesneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenyes, multi-version concurrency control (MVCC)ja infoacross SQL and NoSQLjajaja
Durability infoDauerhafte Speicherung der Datenjajaja infoDer Originalinhalt von Feldern wird nicht im Manticore-Index gespeichert.jaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinja
Berechtigungskonzept infoZugriffskontrolleneinFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.neinAzure Active Directory AuthenticationFine-grained Attribute-Based Access Control (ABAC) in addition to typical coarse-grained Role-Based Access Control (RBAC) according to SQL-standard. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
Weitere Informationen bereitgestellt vom Systemhersteller
DuckDBFaircom EDGE infoformerly c-treeEDGEManticore SearchMicrosoft Azure Data ExplorerVirtuoso
Specific characteristicsVirtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» mehr
Competitive advantagesPerformance & Scale — as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» mehr
Typical application scenariosUsed for — Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» mehr
Key customersBroad use across enterprises and governments including — European Union (EU) US Government...
» mehr
Market metricsLargest installed-base ​of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» mehr
Licensing and pricing modelsAvailable in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» mehr

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Weitere Ressourcen
DuckDBFaircom EDGE infoformerly c-treeEDGEManticore SearchMicrosoft Azure Data ExplorerVirtuoso
Erwähnungen in aktuellen Nachrichten

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My First Billion (of Rows) in DuckDB | by João Pedro | May, 2024
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