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DBMS > Heroic vs. Microsoft Azure Data Explorer vs. Neo4j vs. Raima Database Manager vs. Stardog

Vergleich der Systemeigenschaften Heroic vs. Microsoft Azure Data Explorer vs. Neo4j vs. Raima Database Manager vs. Stardog

Redaktionelle Informationen bereitgestellt von DB-Engines
NameHeroic  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenNeo4j  Xaus Vergleich ausschliessenRaima Database Manager infoformerly named db_Vista  Xaus Vergleich ausschliessenStardog  Xaus Vergleich ausschliessen
KurzbeschreibungTime 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 offeringsRDBMS with a small footprint, either embedded into an application or used as a database serverEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primäres DatenbankmodellTime Series DBMSRelational DBMS infocolumn orientedGraph DBMSRelational DBMS
Time Series DBMS
Graph DBMS
RDF 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
Punkte0,51
Rang#255  Overall
#21  Time Series DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte44,46
Rang#23  Overall
#1  Graph DBMS
Punkte0,46
Rang#259  Overall
#120  Relational DBMS
#22  Time Series DBMS
Punkte2,02
Rang#123  Overall
#11  Graph DBMS
#6  RDF Stores
Websitegithub.com/­spotify/­heroicazure.microsoft.com/­services/­data-explorerneo4j.comraima.comwww.stardog.com
Technische Dokumentationspotify.github.io/­heroicdocs.microsoft.com/­en-us/­azure/­data-explorerneo4j.com/­docsdocs.raima.comdocs.stardog.com
EntwicklerSpotifyMicrosoftNeo4j, Inc.Raima Inc.Stardog-Union
Erscheinungsjahr20142019200719842010
Aktuelle Versioncloud service with continuous releases5.19, April 202415, Juni 20217.3.0, Mai 2020
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0kommerziellOpen Source infoGPL Version3, kommerzielle Lizenzen verfügbar bei Bedarfkommerziellkommerziell info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinneinnein
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.
ImplementierungsspracheJavaJava, ScalaCJava
Server BetriebssystemegehostetLinux infoKann auch Server-los als embedded Java Datenbank verwendet werden.
OS X
Solaris
Windows
Android
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Linux
macOS
Windows
DatenschemaschemafreiFixed schema with schema-less datatypes (dynamic)schemafrei und schema-optionaljaschema-free and OWL/RDFS-schema support
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjanein infoExporting/Importing of XML structures possiblenein infoImportieren/Exportieren von XML Daten möglich
Sekundärindizesja infovia Elasticsearchall fields are automatically indexedja infoAustauschbares Index Subsystem, per Default Apache Lucenejaja infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLneinKusto Query Language (KQL), SQL subsetneinjaYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs und andere ZugriffskonzepteHQL (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
ADO.NET
JDBC
ODBC
RESTful HTTP API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Unterstützte Programmiersprachen.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++
Objective-C
PL/SQL
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-seitige Scripts infoStored ProceduresneinYes, possible languages: KQL, Python, Rja infoUser defined Procedures and Functionsja infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationuser defined functions and aggregates, HTTP Server extensions in Java
Triggersneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infomittels Event Handlerjaja infovia event handlers
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infoImplicit feature of the cloud serviceja, mit Neo4j Fabrichorizontale Partitionierungkeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenjaja 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 ReplikationMulti-Source Replikation in HA-Cluster
MapReduce infoBietet ein API für Map/Reduce OperationenneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinneinnein
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 or Eventual Consistency depending on configurationImmediate Consistency in HA-Cluster
Fremdschlüssel inforeferenzielle Integritätneinneinja infoBeziehungen in Graphenjaja infoBeziehungen in Graphen
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinneinACIDACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajayes, multi-version concurrency control (MVCC)ja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinjaja
Berechtigungskonzept infoZugriffskontrolleAzure Active Directory AuthenticationUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)neinZugriffsrechte für Benutzer und Rollen
Weitere Informationen bereitgestellt vom Systemhersteller
HeroicMicrosoft Azure Data ExplorerNeo4jRaima Database Manager infoformerly named db_VistaStardog
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» mehr
Raima Database Manager (RDM) is an embedded time-series database optimized to run...
» mehr
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» mehr
Decreased time-to-market Industry-standard interfaces & tools for making your job...
» mehr
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» mehr
Typical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» mehr
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» mehr
Infor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» mehr
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» mehr
Over 30 000 applications developers worldwide have field-tested RDM products More...
» mehr
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» mehr
Just as the technical aspects of Raima Database Manager are flexible, so are the...
» mehr
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Weitere Ressourcen
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