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

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

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDolphinDB  Xaus Vergleich ausschliessenGraph Engine infoformer name: Trinity  Xaus Vergleich ausschliessenHypertable  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSqrrl  Xaus Vergleich ausschliessen
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.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 engineEine Open Source BigTable Implementation basierend auf Distributed File Systems wie HadoopFully managed big data interactive analytics platformAdaptable, secure NoSQL built on Apache Accumulo
Primäres DatenbankmodellTime Series DBMSGraph DBMS
Key-Value Store
Wide Column StoreRelational DBMS infocolumn orientedDocument 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)
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
Websitewww.dolphindb.comwww.graphengine.ioazure.microsoft.com/­services/­data-explorersqrrl.com
Technische Dokumentationwww.dolphindb.com/­helpwww.graphengine.io/­docs/­manualdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerDolphinDB, IncMicrosoftHypertable Inc.MicrosoftAmazon infoursprünglich Sqrrl Data, Inc.
Erscheinungsjahr20182010200920192012
Aktuelle Version0.9.8.11, Maerz 2016cloud service with continuous releases
Lizenz infoCommercial or Open Sourcekommerziell infofree community version availableOpen Source infoMIT LicenseOpen Source infoGNU Version 3. Kommerzielle Lizenzen verfügbarkommerziellkommerziell
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++.NET and CC++Java
Server BetriebssystemeLinux
Windows
.NETLinux
OS X
Windows infoein inoffizieller Windows-Port ist verfügbar
gehostetLinux
DatenschemajaschemafreiFixed schema with schema-less datatypes (dynamic)schemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaneinja 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, XSLTneinneinja
Sekundärindizesneineingeschränkt infoNur Gleichheits- und Präfixabfragenall fields are automatically indexedja
SQL infoSupport of SQLSQL-like query languageneinneinKusto Query Language (KQL), SQL subsetnein
APIs und andere ZugriffskonzepteJDBC
ODBC
RESTful HTTP APIC++ API
Thrift
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Unterstützte ProgrammiersprachenC#
C++
Java
JavaScript
Python
R
C#
C++
F#
Visual Basic
C++
Java
Perl
PHP
Python
Ruby
.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
Server-seitige Scripts infoStored ProceduresjajaneinYes, possible languages: KQL, Python, Rnein
Triggersneinneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale Partitionierunghorizontale PartitionierungShardingSharding infoImplicit feature of the cloud serviceSharding infoBasierend auf Hadoop
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenjawählbarer Replikationsfaktor auf Filesystemebeneja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.frei wählbarer Replikationsfaktor infobasierend auf Hadoop
MapReduce infoBietet ein API für Map/Reduce Operationenjajaneinja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenjaneinneinneinAtomic updates per row, document, or graph entity
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 haltenjajanein
Berechtigungskonzept infoZugriffskontrolleAdministrators, Users, GroupsneinAzure Active Directory AuthenticationCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
Weitere Informationen bereitgestellt vom Systemhersteller
DolphinDBGraph Engine infoformer name: TrinityHypertableMicrosoft Azure Data ExplorerSqrrl
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: TrinityHypertableMicrosoft Azure Data ExplorerSqrrl
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