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DBMS > AnzoGraph DB vs. Fauna vs. Google Cloud Datastore vs. JanusGraph vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften AnzoGraph DB vs. Fauna vs. Google Cloud Datastore vs. JanusGraph vs. Microsoft Azure Data Explorer

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAnzoGraph DB  Xaus Vergleich ausschliessenFauna infopreviously named FaunaDB  Xaus Vergleich ausschliessenGoogle Cloud Datastore  Xaus Vergleich ausschliessenJanusGraph infosuccessor of Titan  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
KurzbeschreibungScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Selbst skalierendes NoSQL Datenbankservice in der Google Cloud PlattformA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Fully managed big data interactive analytics platform
Primäres DatenbankmodellGraph DBMS
RDF Store
Document Store
Graph DBMS
Relational DBMS
Time Series DBMS
Document StoreGraph 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
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,29
Rang#303  Overall
#25  Graph DBMS
#14  RDF Stores
Punkte1,55
Rang#151  Overall
#26  Document Stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Punkte4,36
Rang#72  Overall
#12  Document Stores
Punkte2,02
Rang#125  Overall
#12  Graph DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Websitecambridgesemantics.com/­anzographfauna.comcloud.google.com/­datastorejanusgraph.orgazure.microsoft.com/­services/­data-explorer
Technische Dokumentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.fauna.comcloud.google.com/­datastore/­docsdocs.janusgraph.orgdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerCambridge SemanticsFauna, Inc.GoogleLinux Foundation; originally developed as Titan by AureliusMicrosoft
Erscheinungsjahr20182014200820172019
Aktuelle Version2.3, Jänner 20210.6.3, Februar 2023cloud service with continuous releases
Lizenz infoCommercial or Open Sourcekommerziell infofree trial version availablekommerziellkommerziellOpen Source infoApache 2.0kommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjajaneinja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheScalaJava
Server BetriebssystemeLinuxgehostetgehostetLinux
OS X
Unix
Windows
gehostet
DatenschemaSchema-free and OWL/RDFS-schema supportschemafreischemafreijaFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder dateneinja, Details hierjaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinneinja
Sekundärindizesneinjajajaall fields are automatically indexed
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.neinSQL-like query language (GQL)neinKusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzepteApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
RESTful HTTP APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte ProgrammiersprachenC++
Java
Python
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionenbenutzerdefinierte Funktionenmit Google App EnginejaYes, possible languages: KQL, Python, R
TriggersneinneinCallbacks mit Google Apps Enginejaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenAutomatic shardinghorizontale Partitionierung infoconsistent hashingShardingja infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source Replikation in MPP-ClusterMulti-Source ReplikationMulti-source replication using Paxosjaja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce OperationenKerberos/HDFS data loadingneinja infomittels Google Cloud Dataflowja infovia Faunus, a graph analytics engineSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätnein infonot needed in graphsjaja infovia ReferenceProperties or Ancestor pathsja infoRelationships in graphsnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajaja infoUnterstützt verschiedene Storage Backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinneinnein
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and rolesIdentity management, authentication, and access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Benutzer Authentification und Sicherheit via Rexster Graph ServerAzure Active Directory Authentication

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Weitere Ressourcen
AnzoGraph DBFauna infopreviously named FaunaDBGoogle Cloud DatastoreJanusGraph infosuccessor of TitanMicrosoft Azure Data Explorer
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