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DBMS > eXtremeDB vs. Heroic vs. Microsoft Azure Data Explorer vs. Neo4j

Vergleich der Systemeigenschaften eXtremeDB vs. Heroic vs. Microsoft Azure Data Explorer vs. Neo4j

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NameeXtremeDB  Xaus Vergleich ausschliessenHeroic  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenNeo4j  Xaus Vergleich ausschliessen
KurzbeschreibungNatively in-memory DBMS with options for persistency, high-availability and clusteringTime 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 offerings
Primäres DatenbankmodellRelational DBMS
Time Series DBMS
Time Series DBMSRelational DBMS infocolumn orientedGraph 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
Punkte0,74
Rang#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Punkte0,51
Rang#255  Overall
#21  Time Series DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte44,46
Rang#23  Overall
#1  Graph DBMS
Websitewww.mcobject.comgithub.com/­spotify/­heroicazure.microsoft.com/­services/­data-explorerneo4j.com
Technische Dokumentationwww.mcobject.com/­docs/­extremedb.htmspotify.github.io/­heroicdocs.microsoft.com/­en-us/­azure/­data-explorerneo4j.com/­docs
EntwicklerMcObjectSpotifyMicrosoftNeo4j, Inc.
Erscheinungsjahr2001201420192007
Aktuelle Version8.2, 2021cloud service with continuous releases5.19, April 2024
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache 2.0kommerziellOpen Source infoGPL Version3, kommerzielle Lizenzen verfügbar bei Bedarf
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjanein
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++JavaJava, Scala
Server BetriebssystemeAIX
HP-UX
Linux
macOS
Solaris
Windows
gehostetLinux infoKann auch Server-los als embedded Java Datenbank verwendet werden.
OS X
Solaris
Windows
DatenschemajaschemafreiFixed schema with schema-less datatypes (dynamic)schemafrei und schema-optional
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-typesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTnein infosupport of XML interfaces availableneinja
Sekundärindizesjaja infovia Elasticsearchall fields are automatically indexedja infoAustauschbares Index Subsystem, per Default Apache Lucene
SQL infoSupport of SQLja infowith the option: eXtremeSQLneinKusto Query Language (KQL), SQL subsetnein
APIs und andere Zugriffskonzepte.NET Client API
JDBC
JNI
ODBC
Proprietäres Protokoll
RESTful HTTP API
HQL (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 Programmiersprachen.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-seitige Scripts infoStored ProceduresjaneinYes, possible languages: KQL, Python, Rja infoUser defined Procedures and Functions
Triggersja infoby defining eventsneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infomittels Event Handler
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale Partitionierung / shardingShardingSharding infoImplicit feature of the cloud serviceja, mit Neo4j Fabric
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenActive Replication Fabric™ for IoT
Multi-Source Replikation infoby means of eXtremeDB Cluster option
Source-Replica Replikation infoby means of eXtremeDB High Availability option
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 only
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Fremdschlüssel inforeferenzielle Integritätjaneinneinja infoBeziehungen in Graphen
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja infoOptimistic (MVCC) and pessimistic (locking) strategies availablejajaja
Durability infoDauerhafte Speicherung der Datenjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinnein
Berechtigungskonzept infoZugriffskontrolleAzure Active Directory AuthenticationUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
Weitere Informationen bereitgestellt vom Systemhersteller
eXtremeDBHeroicMicrosoft Azure Data ExplorerNeo4j
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Neo4j delivers graph technology that has been battle tested for performance and scale...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Neo4j is the market leader, graph database category creator, and the most widely...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Real-Time Recommendations Master Data Management Identity and Access Management Network...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
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Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Neo4j boasts the world's largest graph database ecosystem with more than 140 million...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
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Neuigkeiten

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26. April 2024

GQL: The ISO Standard for Graphs Has Arrived
25. April 2024

What Is Retrieval-Augmented Generation (RAG)?
24. April 2024

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Weitere Ressourcen
eXtremeDBHeroicMicrosoft Azure Data ExplorerNeo4j
DB-Engines Blog Posts

Applying Graph Analytics to Game of Thrones
12. Juni 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

MySQL, PostgreSQL and Redis are the winners of the March ranking
2. März 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22. Dezember 2015, Emil Eifrem (guest author)

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