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DBMS > Google Cloud Bigtable vs. Graphite vs. Microsoft Azure Data Explorer vs. Netezza vs. TypeDB

Vergleich der Systemeigenschaften Google Cloud Bigtable vs. Graphite vs. Microsoft Azure Data Explorer vs. Netezza vs. TypeDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGoogle Cloud Bigtable  Xaus Vergleich ausschliessenGraphite  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenNetezza infoWird von IBM auch PureData System für Analytics genannt  Xaus Vergleich ausschliessenTypeDB infoformerly named Grakn  Xaus Vergleich ausschliessen
KurzbeschreibungGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperFully managed big data interactive analytics platformData Warehouse und Analytic Appliance integriert in IBM PureSystemsTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primäres DatenbankmodellKey-Value Store
Wide Column Store
Time Series DBMSRelational DBMS infocolumn orientedRelational DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
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
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte3,26
Rang#92  Overall
#13  Key-Value Stores
#8  Wide Column Stores
Punkte4,57
Rang#73  Overall
#5  Time Series DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte9,06
Rang#46  Overall
#29  Relational DBMS
Punkte0,65
Rang#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websitecloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webazure.microsoft.com/­services/­data-explorerwww.ibm.com/­products/­netezzatypedb.com
Technische Dokumentationcloud.google.com/­bigtable/­docsgraphite.readthedocs.iodocs.microsoft.com/­en-us/­azure/­data-explorertypedb.com/­docs
EntwicklerGoogleChris DavisMicrosoftIBMVaticle
Erscheinungsjahr20152006201920002016
Aktuelle Versioncloud service with continuous releases2.26.3, Jaenner 2024
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache 2.0kommerziellkommerziellOpen Source infoGPL Version 3, commercial licenses available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinjaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungssprachePythonJava
Server BetriebssystemegehostetLinux
Unix
gehostetLinux infoIn Appliance inkludiertLinux
OS X
Windows
DatenschemaschemafreijaFixed schema with schema-less datatypes (dynamic)jaja
Typisierung infovordefinierte Datentypen, z.B. float oder dateneinNumeric data onlyja 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
Sekundärindizesneinneinall fields are automatically indexedjaja
SQL infoSupport of SQLneinneinKusto Query Language (KQL), SQL subsetjanein
APIs und andere ZugriffskonzeptegRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
OLE DB
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Unterstützte ProgrammiersprachenC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Fortran
Java
Lua
Perl
Python
R
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-seitige Scripts infoStored ProceduresneinneinYes, possible languages: KQL, Python, Rjanein
Triggersneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingkeineSharding infoImplicit feature of the cloud serviceShardingSharding infoby using Cassandra
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenInternal replication in Colossus, and regional replication between two clusters in different zoneskeineja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica ReplikationMulti-Source Replikation infoby using Cassandra
MapReduce infoBietet ein API für Map/Reduce OperationenjaneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkjaja infoby using Apache Kafka and Apache Zookeeper
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)keineEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein infosubstituted by the relationship feature
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenAtomic single-row operationsneinneinACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjaja infolockingjajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinnein
Berechtigungskonzept infoZugriffskontrolleAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)neinAzure Active Directory AuthenticationBenutzer mit feingranularem Berechtigungskonzeptyes infoat REST API level; other APIs in progress
Weitere Informationen bereitgestellt vom Systemhersteller
Google Cloud BigtableGraphiteMicrosoft Azure Data ExplorerNetezza infoWird von IBM auch PureData System für Analytics genanntTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» mehr
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» mehr
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» mehr
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
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Weitere Ressourcen
Google Cloud BigtableGraphiteMicrosoft Azure Data ExplorerNetezza infoWird von IBM auch PureData System für Analytics genanntTypeDB infoformerly named Grakn
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