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DBMS > Databricks vs. Microsoft Azure Data Explorer vs. RavenDB vs. SiriDB vs. Sqrrl

Vergleich der Systemeigenschaften Databricks vs. Microsoft Azure Data Explorer vs. RavenDB vs. SiriDB vs. Sqrrl

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDatabricks  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRavenDB  Xaus Vergleich ausschliessenSiriDB  Xaus Vergleich ausschliessenSqrrl  Xaus Vergleich ausschliessen
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
KurzbeschreibungThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Fully managed big data interactive analytics platformOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseOpen Source Time Series DBMSAdaptable, secure NoSQL built on Apache Accumulo
Primäres DatenbankmodellDocument Store
Relational DBMS
Relational DBMS infocolumn orientedDocument StoreTime Series DBMSDocument Store
Graph DBMS
Key-Value Store
Wide Column 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
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte84,24
Rang#14  Overall
#2  Document Stores
#9  Relational DBMS
Punkte3,28
Rang#83  Overall
#45  Relational DBMS
Punkte2,68
Rang#102  Overall
#19  Document Stores
Punkte0,00
Rang#385  Overall
#40  Time Series DBMS
Websitewww.databricks.comazure.microsoft.com/­services/­data-explorerravendb.netsiridb.comsqrrl.com
Technische Dokumentationdocs.databricks.comdocs.microsoft.com/­en-us/­azure/­data-explorerravendb.net/­docsdocs.siridb.com
EntwicklerDatabricksMicrosoftHibernating RhinosCesbitAmazon infoursprünglich Sqrrl Data, Inc.
Erscheinungsjahr20132019201020172012
Aktuelle Versioncloud service with continuous releases5.4, Juli 2022
Lizenz infoCommercial or Open SourcekommerziellkommerziellOpen Source infoAGPL Version 3, kommerzielle Lizenz verfügbarOpen Source infoMIT Licensekommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjajaneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC#CJava
Server BetriebssystemegehostetgehostetLinux
macOS
Raspberry Pi
Windows
LinuxLinux
DatenschemaFlexible Schema (defined schema, partial schema, schema free)Fixed schema with schema-less datatypes (dynamic)schemafreijaschemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder dateja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesneinja infoNumeric dataja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjajanein
Sekundärindizesjaall fields are automatically indexedjajaja
SQL infoSupport of SQLwith Databricks SQLKusto Query Language (KQL), SQL subsetSQL-like query language (RQL)neinnein
APIs und andere ZugriffskonzepteJDBC
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
HTTP APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Unterstützte ProgrammiersprachenPython
R
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte FunktionenYes, possible languages: KQL, Python, Rjaneinnein
Triggersja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyjaneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoImplicit feature of the cloud serviceShardingShardingSharding infoBasierend auf Hadoop
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenjaja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source Replikationjafrei wählbarer Replikationsfaktor infobasierend auf Hadoop
MapReduce infoBietet ein API für Map/Reduce OperationenSpark connector (open source): github.com/­Azure/­azure-kusto-sparkjaneinja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Fremdschlüssel inforeferenzielle Integritätneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinACID, Cluster-wide transaction availableneinAtomic updates per row, document, or graph entity
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinja
Berechtigungskonzept infoZugriffskontrolleAzure Active Directory AuthenticationAuthorization levels configured per client per databaseEinfache Rechteverwaltung mit BenutzeraccountsCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
Weitere Informationen bereitgestellt vom Systemhersteller
DatabricksMicrosoft Azure Data ExplorerRavenDBSiriDBSqrrl
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Weitere Ressourcen
DatabricksMicrosoft Azure Data ExplorerRavenDBSiriDBSqrrl
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