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DBMS > AnzoGraph DB vs. Google Cloud Firestore vs. Hazelcast vs. Heroic vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften AnzoGraph DB vs. Google Cloud Firestore vs. Hazelcast vs. Heroic vs. Microsoft Azure Data Explorer

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAnzoGraph DB  Xaus Vergleich ausschliessenGoogle Cloud Firestore  Xaus Vergleich ausschliessenHazelcast  Xaus Vergleich ausschliessenHeroic  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 virtualizationCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.A widely adopted in-memory data gridTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchFully managed big data interactive analytics platform
Primäres DatenbankmodellGraph DBMS
RDF Store
Document StoreKey-Value StoreTime Series DBMSRelational DBMS infocolumn oriented
Sekundäre DatenbankmodelleDocument Store infoJSON support with IMDG 3.12Document 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
Punkte0,23
Rang#307  Overall
#24  Graph DBMS
#13  RDF Stores
Punkte7,85
Rang#51  Overall
#8  Document Stores
Punkte5,97
Rang#57  Overall
#6  Key-Value Stores
Punkte0,51
Rang#255  Overall
#21  Time Series DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Websitecambridgesemantics.com/­anzographfirebase.google.com/­products/­firestorehazelcast.comgithub.com/­spotify/­heroicazure.microsoft.com/­services/­data-explorer
Technische Dokumentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmfirebase.google.com/­docs/­firestorehazelcast.org/­imdg/­docsspotify.github.io/­heroicdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerCambridge SemanticsGoogleHazelcastSpotifyMicrosoft
Erscheinungsjahr20182017200820142019
Aktuelle Version2.3, Jänner 20215.3.6, November 2023cloud service with continuous releases
Lizenz infoCommercial or Open Sourcekommerziell infofree trial version availablekommerziellOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0kommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinneinja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaJava
Server BetriebssystemeLinuxgehostetAlle Betriebssysteme mit einer Java VMgehostet
DatenschemaSchema-free and OWL/RDFS-schema supportschemafreischemafreischemafreiFixed schema with schema-less datatypes (dynamic)
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-types
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinja infothe object must implement a serialization strategyneinja
Sekundärindizesneinjajaja infovia Elasticsearchall fields are automatically indexed
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.neinSQL-like query languageneinKusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzepteApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JCache
JPA
Memcached Protokoll
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte ProgrammiersprachenC++
Java
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionenyes, Firebase Rules & Cloud Functionsja infoEvent Listeners, Executor ServicesneinYes, possible languages: KQL, Python, R
Triggersneinyes, with Cloud Functionsja infoEventsneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenAutomatic shardingShardingShardingShardingSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source Replikation in MPP-ClusterMulti-Source Replikationja infoReplicated Mapjaja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce OperationenKerberos/HDFS data loadingUsing Cloud DataflowjaneinSpark 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 selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätnein infonot needed in graphsneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDjaone or two-phase-commit; repeatable reads; read commitedneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinnein
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Role-based access controlAzure Active Directory Authentication

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Weitere Ressourcen
AnzoGraph DBGoogle Cloud FirestoreHazelcastHeroicMicrosoft Azure Data Explorer
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