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DBMS > Drizzle vs. Faircom EDGE vs. Microsoft Azure Data Explorer vs. Splice Machine vs. VictoriaMetrics

Vergleich der Systemeigenschaften Drizzle vs. Faircom EDGE vs. Microsoft Azure Data Explorer vs. Splice Machine vs. VictoriaMetrics

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDrizzle  Xaus Vergleich ausschliessenFaircom EDGE infoformerly c-treeEDGE  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSplice Machine  Xaus Vergleich ausschliessenVictoriaMetrics  Xaus Vergleich ausschliessen
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
KurzbeschreibungMySQL fork mit erweiterbarem Micro-Kernel und mit Betonung von Leistung vor Kompatibilität.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsFully managed big data interactive analytics platformOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primäres DatenbankmodellRelational DBMSKey-Value Store
Relational DBMS
Relational DBMS infocolumn orientedRelational DBMSTime Series 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
Punkte0,02
Rang#368  Overall
#54  Key-Value Stores
#156  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,54
Rang#250  Overall
#114  Relational DBMS
Punkte1,32
Rang#162  Overall
#14  Time Series DBMS
Websitewww.faircom.com/­products/­faircom-edgeazure.microsoft.com/­services/­data-explorersplicemachine.comvictoriametrics.com
Technische Dokumentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.microsoft.com/­en-us/­azure/­data-explorersplicemachine.com/­how-it-worksdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
EntwicklerDrizzle Projekt, ursprünglich gestartet von Brian AkerFairCom CorporationMicrosoftSplice MachineVictoriaMetrics
Erscheinungsjahr20081979201920142018
Aktuelle Version7.2.4, September 2012V3, Oktober 2020cloud service with continuous releases3.1, March 2021v1.91, Mai 2023
Lizenz infoCommercial or Open SourceOpen Source infoGNU GPLkommerziell infoRestricted, free version availablekommerziellOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache Version 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++ANSI C, C++JavaGo
Server BetriebssystemeFreeBSD
Linux
OS X
Android
Linux infoARM, x86
Raspbian
Windows
gehostetLinux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
OpenBSD
DatenschemajaFlexible Schema (defined schema, partial schema, schema free)Fixed schema with schema-less datatypes (dynamic)ja
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja, ANSI Standard SQL Typesja 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, XSLTjajanein
Sekundärindizesjajaall fields are automatically indexedja
SQL infoSupport of SQLja infomit propriätären Erweiterungenja infoANSI SQL queriesKusto Query Language (KQL), SQL subsetjanein
APIs und andere ZugriffskonzepteJDBCADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Unterstützte ProgrammiersprachenC
C++
Java
PHP
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-seitige Scripts infoStored Proceduresneinja info.Net, JavaScript, C/C++Yes, possible languages: KQL, Python, Rja infoJavanein
Triggersnein infoHooks für Callbacks innerhalb der Servers können verwendet werden.jaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyjanein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingFile partitioning infoCustomizable business rules for partitioningSharding infoImplicit feature of the cloud serviceShared Nothhing Auto-Sharding, Columnar Partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source Replikation
Source-Replica Replikation
ja infoSynchronous and asynchronous realtime replication based on transaction logsja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source Replikation
Source-Replica Replikation
Synchronous replication
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkYes, via Full Spark Integrationnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Fremdschlüssel inforeferenzielle Integritätjaja infowhen using SQLneinjanein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDneinACIDnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjaja infoacross SQL and NoSQLjayes, multi-version concurrency control (MVCC)ja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinjanein
Berechtigungskonzept infoZugriffskontrollePluggable Authentication Mechanismen infoz.B. LDAP, HTTPFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Azure Active Directory AuthenticationAccess rights for users, groups and roles according to SQL-standard

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Weitere Ressourcen
DrizzleFaircom EDGE infoformerly c-treeEDGEMicrosoft Azure Data ExplorerSplice MachineVictoriaMetrics
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