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DBMS > DuckDB vs. Faircom DB vs. HEAVY.AI vs. MarkLogic vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften DuckDB vs. Faircom DB vs. HEAVY.AI vs. MarkLogic vs. Microsoft Azure Data Explorer

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDuckDB  Xaus Vergleich ausschliessenFaircom DB infoformerly c-treeACE  Xaus Vergleich ausschliessenHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xaus Vergleich ausschliessenMarkLogic  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
KurzbeschreibungAn embeddable, in-process, column-oriented SQL OLAP RDBMSNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareOperational and transactional Enterprise NoSQL databaseFully managed big data interactive analytics platform
Primäres DatenbankmodellRelational DBMSKey-Value Store
Relational DBMS
Relational DBMSDocument Store
Native XML DBMS
RDF Store infoab Version 7
Suchmaschine
Relational DBMS infocolumn oriented
Sekundäre DatenbankmodelleSpatial DBMSDocument 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
Punkte4,63
Rang#69  Overall
#37  Relational DBMS
Punkte0,29
Rang#304  Overall
#43  Key-Value Stores
#136  Relational DBMS
Punkte1,64
Rang#145  Overall
#67  Relational DBMS
Punkte5,18
Rang#63  Overall
#11  Document Stores
#1  Native XML DBMS
#1  RDF Stores
#7  Suchmaschinen
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Websiteduckdb.orgwww.faircom.com/­products/­faircom-dbgithub.com/­heavyai/­heavydb
www.heavy.ai
www.marklogic.comazure.microsoft.com/­services/­data-explorer
Technische Dokumentationduckdb.org/­docsdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.heavy.aidocs.marklogic.comdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerFairCom CorporationHEAVY.AI, Inc.MarkLogic Corp.Microsoft
Erscheinungsjahr20181979201620012019
Aktuelle Version0.10, Februar 2024V12, November 20205.10, Jänner 202211.0, December 2022cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoMIT Licensekommerziell infoRestricted, free version availableOpen Source infoApache Version 2; enterprise edition availablekommerziell infoeingeschränkte kostenlose Version verfügbarkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinneinja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++ANSI C, C++C++ and CUDAC++
Server BetriebssystemeserverlosAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
LinuxLinux
OS X
Windows
gehostet
Datenschemajaschema free, schema optional, schema required, partial schema,jaschemafrei infoSchema kann erzwungen werdenFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja, ANSI Standard SQL Types, JSON, typed binary structuresjajaja 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, XSLTneinneinneinjaja
Sekundärindizesjajaneinjaall fields are automatically indexed
SQL infoSupport of SQLjayes, ANSI SQL with proprietary extensionsjaja infoSQL92Kusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzepteArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
JDBC
ODBC
Thrift
Vega
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
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
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
All languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored Proceduresneinja info.Net, JavaScript, C/C++neinja infovia XQuery or JavaScriptYes, possible languages: KQL, Python, R
Triggersneinjaneinjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding infoRound robinShardingSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenkeineyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Multi-Source Replikationjaja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinneinja infoÃœber Hadoop Connector, HDFS Direct Access und in-database MapReduce JobsSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinjaneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDtunable from ACID to Eventually ConsistentneinACID infocan act as a resource manager in an XA/JTA transactionnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenyes, multi-version concurrency control (MVCC)jajajaja
Durability infoDauerhafte Speicherung der DatenjaYes, tunable from durable to delayed durability to in-memoryjajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajajayes, with Range Indexesnein
Berechtigungskonzept infoZugriffskontrolleneinFine grained access rights according to SQL-standard with additional protections for filesBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardRollen-basierte Zugriffskontrolle auf Dokumenten- und SubdokumentenebeneAzure Active Directory Authentication

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Weitere Ressourcen
DuckDBFaircom DB infoformerly c-treeACEHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022MarkLogicMicrosoft Azure Data Explorer
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