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DBMS > DolphinDB vs. Graph Engine vs. Microsoft Azure Data Explorer vs. Sqrrl vs. Transbase

Vergleich der Systemeigenschaften DolphinDB vs. Graph Engine vs. Microsoft Azure Data Explorer vs. Sqrrl vs. Transbase

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDolphinDB  Xaus Vergleich ausschliessenGraph Engine infoformer name: Trinity  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSqrrl  Xaus Vergleich ausschliessenTransbase  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.
KurzbeschreibungTime Series DBMS for big data, integrated with a lightweight distributed computing framework and a vector programming languageA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineFully managed big data interactive analytics platformAdaptable, secure NoSQL built on Apache AccumuloA resource-optimized, high-performance, universally applicable RDBMS
Primäres DatenbankmodellTime Series DBMSGraph DBMS
Key-Value Store
Relational DBMS infocolumn orientedDocument Store
Graph DBMS
Key-Value Store
Wide Column Store
Relational 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)
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
Punkte1,08
Rang#169  Overall
#11  Time Series DBMS
Punkte0,80
Rang#195  Overall
#18  Graph DBMS
#31  Key-Value Stores
Punkte5,66
Rang#64  Overall
#35  Relational DBMS
Punkte0,25
Rang#278  Overall
#129  Relational DBMS
Websitewww.dolphindb.comwww.graphengine.ioazure.microsoft.com/­services/­data-explorersqrrl.comwww.transaction.de/­en/­solutions/­transbase-resource-optimized-high-performance-database
Technische Dokumentationwww.dolphindb.com/­helpwww.graphengine.io/­docs/­manualdocs.microsoft.com/­en-us/­azure/­data-explorerwww.transaction.de/­en/­transbase-inside
EntwicklerDolphinDB, IncMicrosoftMicrosoftAmazon infoursprünglich Sqrrl Data, Inc.Transaction Software GmbH
Erscheinungsjahr20182010201920121987
Aktuelle Versioncloud service with continuous releasesTransbase 8.4, September 2020
Lizenz infoCommercial or Open Sourcekommerziell infofree community version availableOpen Source infoMIT Licensekommerziellkommerziellkommerziell infoDevelopment Lizenz gratis
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++.NET and CJavaC und C++
Server BetriebssystemeLinux
Windows
.NETgehostetLinuxFreeBSD
Linux
macOS
Solaris
Windows
DatenschemajaFixed schema with schema-less datatypes (dynamic)schemafreija
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjanein
Sekundärindizesneinall fields are automatically indexedjaja
SQL infoSupport of SQLSQL-like query languageneinKusto Query Language (KQL), SQL subsetneinja
APIs und andere ZugriffskonzepteJDBC
ODBC
RESTful HTTP APIMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
Proprietäres native API
Unterstützte ProgrammiersprachenC#
C++
Java
JavaScript
Python
R
C#
C++
F#
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-seitige Scripts infoStored ProceduresjajaYes, possible languages: KQL, Python, Rneinja
Triggersneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale Partitionierunghorizontale PartitionierungSharding infoImplicit feature of the cloud serviceSharding 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.frei wählbarer Replikationsfaktor infobasierend auf HadoopSource-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce Operationenjaneinjanein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenjaneinneinAtomic updates per row, document, or graph entityja
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjaoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storagejajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinnein
Berechtigungskonzept infoZugriffskontrolleAdministrators, Users, GroupsAzure Active Directory AuthenticationCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard
Weitere Informationen bereitgestellt vom Systemhersteller
DolphinDBGraph Engine infoformer name: TrinityMicrosoft Azure Data ExplorerSqrrlTransbase
Specific characteristicsAzure Data Explorer is a fast and highly scalable data exploration service for log...
» mehr
Competitive advantagesKusto Query Language (innovative query language, optimized for high performance data...
» mehr
Typical application scenariosIoT applications IoT devices generate billions of sensor readings. Normalizing and...
» mehr
Key customersMicrosoft, DocuSign, Taboola, Bosch, Siemens Healthineers, Bühler, Ecolab, Zoomd
» mehr
Market metricsAzure Data Explorer is the data service for Azure Monitor, Azure Time Series Insights,...
» mehr

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Weitere Ressourcen
DolphinDBGraph Engine infoformer name: TrinityMicrosoft Azure Data ExplorerSqrrlTransbase
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