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DBMS > Fujitsu Enterprise Postgres vs. GeoSpock vs. Graph Engine vs. Microsoft Azure Data Explorer vs. Sqrrl

Vergleich der Systemeigenschaften Fujitsu Enterprise Postgres vs. GeoSpock vs. Graph Engine vs. Microsoft Azure Data Explorer vs. Sqrrl

Redaktionelle Informationen bereitgestellt von DB-Engines
NameFujitsu Enterprise Postgres  Xaus Vergleich ausschliessenGeoSpock  Xaus Vergleich ausschliessenGraph Engine infoformer name: Trinity  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSqrrl  Xaus Vergleich ausschliessen
GeoSpock seems to be discontinued. Therefore it will be excluded 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.
KurzbeschreibungEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Spatial and temporal data processing engine for extreme data scaleA 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 Accumulo
Primäres DatenbankmodellRelational DBMSRelational DBMSGraph DBMS
Key-Value Store
Relational DBMS infocolumn orientedDocument Store
Graph DBMS
Key-Value Store
Wide Column Store
Sekundäre DatenbankmodelleDocument Store
Spatial DBMS
Time Series 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
Punkte0,31
Rang#285  Overall
#129  Relational DBMS
Punkte0,61
Rang#240  Overall
#21  Graph DBMS
#35  Key-Value Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Websitewww.postgresql.fastware.comgeospock.comwww.graphengine.ioazure.microsoft.com/­services/­data-explorersqrrl.com
Technische Dokumentationwww.postgresql.fastware.com/­product-manualswww.graphengine.io/­docs/­manualdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGeoSpockMicrosoftMicrosoftAmazon infoursprünglich Sqrrl Data, Inc.
Erscheinungsjahr201020192012
Aktuelle VersionFujitsu Enterprise Postgres 14, January 20222.0, September 2019cloud service with continuous releases
Lizenz infoCommercial or Open SourcekommerziellkommerziellOpen Source infoMIT Licensekommerziellkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheCJava, Javascript.NET and CJava
Server BetriebssystemeLinux
Windows
gehostet.NETgehostetLinux
DatenschemajajajaFixed schema with schema-less datatypes (dynamic)schemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaja 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
Sekundärindizesjatemporal, categoricalall fields are automatically indexedja
SQL infoSupport of SQLjaANSI SQL for query only (using Presto)neinKusto Query Language (KQL), SQL subsetnein
APIs und andere ZugriffskonzepteADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCRESTful HTTP APIMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Unterstützte Programmiersprachen.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
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
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte FunktionenneinjaYes, possible languages: KQL, Python, Rnein
Triggersjaneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenpartitioning by range, list and by hashAutomatic shardinghorizontale PartitionierungSharding infoImplicit feature of the cloud serviceSharding infoBasierend auf Hadoop
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSource-Replica Replikationja 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 OperationenneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkja
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 Integritätjaneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinneinneinAtomic updates per row, document, or graph entity
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenyes, multi-version concurrency control (MVCC)jajajaja
Durability infoDauerhafte Speicherung der Datenjajaoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storagejaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjanein
Berechtigungskonzept infoZugriffskontrolleBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAccess rights for users can be defined per tableAzure Active Directory AuthenticationCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
Weitere Informationen bereitgestellt vom Systemhersteller
Fujitsu Enterprise PostgresGeoSpockGraph Engine infoformer name: TrinityMicrosoft Azure Data ExplorerSqrrl
Specific characteristics100% compatible with community PostgreSQL
» mehr
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» mehr
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» mehr
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» mehr
Licensing and pricing modelsCore based licensing
» mehr

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Weitere Ressourcen
Fujitsu Enterprise PostgresGeoSpockGraph Engine infoformer name: TrinityMicrosoft Azure Data ExplorerSqrrl
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