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DBMS > Drizzle vs. Heroic vs. Microsoft Azure Data Explorer vs. Neo4j vs. Realm

Vergleich der Systemeigenschaften Drizzle vs. Heroic vs. Microsoft Azure Data Explorer vs. Neo4j vs. Realm

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDrizzle  Xaus Vergleich ausschliessenHeroic  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenNeo4j  Xaus Vergleich ausschliessenRealm  Xaus Vergleich ausschliessen
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
KurzbeschreibungMySQL fork mit erweiterbarem Micro-Kernel und mit Betonung von Leistung vor Kompatibilität.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchFully managed big data interactive analytics platformScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primäres DatenbankmodellRelational DBMSTime Series DBMSRelational DBMS infocolumn orientedGraph DBMSDocument Store
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
Punkte0,46
Rang#265  Overall
#22  Time Series DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte44,89
Rang#21  Overall
#1  Graph DBMS
Punkte7,41
Rang#52  Overall
#8  Document Stores
Websitegithub.com/­spotify/­heroicazure.microsoft.com/­services/­data-explorerneo4j.comrealm.io
Technische Dokumentationspotify.github.io/­heroicdocs.microsoft.com/­en-us/­azure/­data-explorerneo4j.com/­docsrealm.io/­docs
EntwicklerDrizzle Projekt, ursprünglich gestartet von Brian AkerSpotifyMicrosoftNeo4j, Inc.Realm, acquired by MongoDB in May 2019
Erscheinungsjahr20082014201920072014
Aktuelle Version7.2.4, September 2012cloud service with continuous releases5.20, Mai 2024
Lizenz infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0kommerziellOpen Source infoGPL Version3, kommerzielle Lizenzen verfügbar bei BedarfOpen Source
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein
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++JavaJava, Scala
Server BetriebssystemeFreeBSD
Linux
OS X
gehostetLinux infoKann auch Server-los als embedded Java Datenbank verwendet werden.
OS X
Solaris
Windows
Android
Backend: serverlos
iOS
Windows
DatenschemajaschemafreiFixed schema with schema-less datatypes (dynamic)schemafrei und schema-optionalja
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
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjanein
Sekundärindizesjaja infovia Elasticsearchall fields are automatically indexedja infoAustauschbares Index Subsystem, per Default Apache Luceneja
SQL infoSupport of SQLja infomit propriätären ErweiterungenneinKusto Query Language (KQL), SQL subsetneinnein
APIs und andere ZugriffskonzepteJDBCHQL (Heroic Query Language, a JSON-based language)
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
Unterstützte ProgrammiersprachenC
C++
Java
PHP
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-seitige Scripts infoStored ProceduresneinneinYes, possible languages: KQL, Python, Rja infoUser defined Procedures and Functionsnein inforuns within the applications so server-side scripts are unnecessary
Triggersnein infoHooks für Callbacks innerhalb der Servers können verwendet werden.neinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infomittels Event Handlerja infoChange Listeners
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingSharding infoImplicit feature of the cloud serviceja, mit Neo4j Fabrickeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source Replikation
Source-Replica Replikation
jaja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlykeine
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätjaneinneinja infoBeziehungen in Graphennein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinneinACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinja infoIn-Memory realm
Berechtigungskonzept infoZugriffskontrollePluggable Authentication Mechanismen infoz.B. LDAP, HTTPAzure Active Directory AuthenticationUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)ja
Weitere Informationen bereitgestellt vom Systemhersteller
DrizzleHeroicMicrosoft Azure Data ExplorerNeo4jRealm
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
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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...
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