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DBMS > Graphite vs. Microsoft Azure Data Explorer vs. Oracle vs. UniData,UniVerse vs. Vertica

Vergleich der Systemeigenschaften Graphite vs. Microsoft Azure Data Explorer vs. Oracle vs. UniData,UniVerse vs. Vertica

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGraphite  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenOracle  Xaus Vergleich ausschliessenUniData,UniVerse  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessen
KurzbeschreibungData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperFully managed big data interactive analytics platformWeit verbreitetes, allgemein einsetzbares RDBMSMultiValue DBMS und Application Server mit SQL Mapping LayerCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primäres DatenbankmodellTime Series DBMSRelational DBMS infocolumn orientedRelational DBMSMultivalue DBMSRelational DBMS infoColumn oriented
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
Document Store
Graph DBMS infowith Oracle Spatial and Graph
RDF Store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vektor DBMS infosince Oracle 23
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte4,57
Rang#73  Overall
#5  Time Series DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte1236,29
Rang#1  Overall
#1  Relational DBMS
Punkte3,16
Rang#97  Overall
#2  Multivalue DBMS
Punkte10,68
Rang#43  Overall
#27  Relational DBMS
Websitegithub.com/­graphite-project/­graphite-webazure.microsoft.com/­services/­data-explorerwww.oracle.com/­databasewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidatawww.vertica.com
Technische Dokumentationgraphite.readthedocs.iodocs.microsoft.com/­en-us/­azure/­data-explorerdocs.oracle.com/­en/­databasedocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidatavertica.com/­documentation
EntwicklerChris DavisMicrosoftOracleRocket SoftwareOpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr20062019198019852005
Aktuelle Versioncloud service with continuous releases23c, September 202312.0.3, Jänner 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0kommerziellkommerziell infoeingeschränkte kostenlose Version verfügbarkommerziellkommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinneinnein infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungssprachePythonC und C++CC++
Server BetriebssystemeLinux
Unix
gehostetAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
AIX
HP-UX
Linux
Solaris
Windows
Linux
DatenschemajaFixed schema with schema-less datatypes (dynamic)ja infoSchemaless in JSON and XML columnsschemafreiYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typisierung infovordefinierte Datentypen, z.B. float oder dateNumeric data onlyja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjaoptionalyes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjajanein
Sekundärindizesneinall fields are automatically indexedjajaNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLneinKusto Query Language (KQL), SQL subsetja infomit proprietären ErweiterungenjaFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs und andere ZugriffskonzepteHTTP API
Sockets
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Java API infoJPA
JDBC
ODBC
OLE DB
Propriätäres Protokoll
RESTful HTTP API
SOAP-basiertes API
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Unterstützte ProgrammiersprachenJavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
.Net
Basic infoU2 Basic
C
Java
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored ProceduresneinYes, possible languages: KQL, Python, RPL/SQL infoauch Java stored procedures möglichjayes, PostgreSQL PL/pgSQL, with minor differences
Triggersneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyjaja infoU2 Basicyes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioningkeinehorizontal partitioning, hierarchical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenkeineja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source Replikation
Source-Replica Replikation
Source-Replica ReplikationMulti-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoBietet ein API für Map/Reduce OperationenneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein infokann in PL/SQL realisiert werdenneinno infoBi-directional Spark integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemkeineEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinjaneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinneinACID infomit parameterisierbarem isolation levelACID infokonfigurierbarACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja infolockingjajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinja infoVersion 12c introduced the new option 'Oracle Database In-Memory'nein
Berechtigungskonzept infoZugriffskontrolleneinAzure Active Directory AuthenticationBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardBenutzer mit Berechtigungskonzept entsprechend SQL-Standard und betriebssystem-basiertfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
GraphiteMicrosoft Azure Data ExplorerOracleUniData,UniVerseVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» mehr
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» mehr
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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Weitere Ressourcen
GraphiteMicrosoft Azure Data ExplorerOracleUniData,UniVerseVertica infoOpenText™ Vertica™
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