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DBMS > Google Cloud Firestore vs. IBM Db2 Event Store vs. Microsoft Azure Data Explorer vs. Neo4j vs. Quasardb

Vergleich der Systemeigenschaften Google Cloud Firestore vs. IBM Db2 Event Store vs. Microsoft Azure Data Explorer vs. Neo4j vs. Quasardb

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGoogle Cloud Firestore  Xaus Vergleich ausschliessenIBM Db2 Event Store  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenNeo4j  Xaus Vergleich ausschliessenQuasardb  Xaus Vergleich ausschliessen
KurzbeschreibungCloud 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.Distributed Event Store optimized for Internet of Things use casesFully managed big data interactive analytics platformScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsDistributed, high-performance timeseries database
Primäres DatenbankmodellDocument StoreEvent Store
Time Series DBMS
Relational DBMS infocolumn orientedGraph DBMSTime Series DBMS
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
Punkte7,85
Rang#51  Overall
#8  Document Stores
Punkte0,19
Rang#323  Overall
#2  Event Stores
#28  Time Series DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte44,46
Rang#23  Overall
#1  Graph DBMS
Punkte0,14
Rang#332  Overall
#29  Time Series DBMS
Websitefirebase.google.com/­products/­firestorewww.ibm.com/­products/­db2-event-storeazure.microsoft.com/­services/­data-explorerneo4j.comquasar.ai
Technische Dokumentationfirebase.google.com/­docs/­firestorewww.ibm.com/­docs/­en/­db2-event-storedocs.microsoft.com/­en-us/­azure/­data-explorerneo4j.com/­docsdoc.quasar.ai/­master
EntwicklerGoogleIBMMicrosoftNeo4j, Inc.quasardb
Erscheinungsjahr20172017201920072009
Aktuelle Version2.0cloud service with continuous releases5.19, April 20243.14.1, Jänner 2024
Lizenz infoCommercial or Open Sourcekommerziellkommerziell infofree developer edition availablekommerziellOpen Source infoGPL Version3, kommerzielle Lizenzen verfügbar bei Bedarfkommerziell infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
ImplementierungsspracheC und C++Java, ScalaC++
Server BetriebssystemegehostetLinux infoLinux, macOS, Windows for the developer additiongehostetLinux infoKann auch Server-los als embedded Java Datenbank verwendet werden.
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
DatenschemaschemafreijaFixed schema with schema-less datatypes (dynamic)schemafrei und schema-optionalschemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjaja infointeger and binary
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjanein
Sekundärindizesjaneinall fields are automatically indexedja infoAustauschbares Index Subsystem, per Default Apache Luceneja infomittels Tags
SQL infoSupport of SQLneinja infothrough the embedded Spark runtimeKusto Query Language (KQL), SQL subsetneinSQL-like query language
APIs und andere ZugriffskonzepteAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
HTTP API
Unterstützte ProgrammiersprachenGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-seitige Scripts infoStored Proceduresyes, Firebase Rules & Cloud FunctionsjaYes, possible languages: KQL, Python, Rja infoUser defined Procedures and Functionsnein
Triggersyes, with Cloud Functionsneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infomittels Event Handlernein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingSharding infoImplicit feature of the cloud serviceja, mit Neo4j FabricSharding infoconsistent hashing
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source ReplikationActive-active shard replicationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlySource-Replica Replikation mit wählbarem Replikationsfaktor
MapReduce infoBietet ein API für Map/Reduce OperationenUsing Cloud DataflowneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinwith Hadoop integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinja infoBeziehungen in Graphennein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenjaneinneinACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten DatenmanipulationenjaNo - written data is immutablejajaja
Durability infoDauerhafte Speicherung der DatenjaYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storagejajaja infomittels LevelDB
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinja infoTransient mode
Berechtigungskonzept infoZugriffskontrolleAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAzure Active Directory AuthenticationUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Cryptographically strong user authentication and audit trail
Weitere Informationen bereitgestellt vom Systemhersteller
Google Cloud FirestoreIBM Db2 Event StoreMicrosoft Azure Data ExplorerNeo4jQuasardb
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» mehr
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
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Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
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Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
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Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
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Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» mehr
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