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DBMS > Amazon Neptune vs. ArangoDB vs. GraphDB vs. H2 vs. NebulaGraph

Vergleich der Systemeigenschaften Amazon Neptune vs. ArangoDB vs. GraphDB vs. H2 vs. NebulaGraph

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAmazon Neptune  Xaus Vergleich ausschliessenArangoDB  Xaus Vergleich ausschliessenGraphDB infoUrsprünglicher Name: OWLIM  Xaus Vergleich ausschliessenH2  Xaus Vergleich ausschliessenNebulaGraph  Xaus Vergleich ausschliessen
KurzbeschreibungFast, reliable graph database built for the cloudNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Enterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A distributed, linear scalable, high perfomant Graph DBMS
Primäres DatenbankmodellGraph DBMS
RDF Store
Document Store
Graph DBMS
Key-Value Store
Suchmaschine
Graph DBMS
RDF Store
Relational DBMSGraph DBMS
Sekundäre DatenbankmodelleSpatial DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte2,20
Rang#113  Overall
#9  Graph DBMS
#5  RDF Stores
Punkte3,30
Rang#82  Overall
#14  Document Stores
#5  Graph DBMS
#10  Key-Value Stores
#10  Suchmaschinen
Punkte2,76
Rang#99  Overall
#8  Graph DBMS
#4  RDF Stores
Punkte7,57
Rang#47  Overall
#30  Relational DBMS
Punkte1,92
Rang#122  Overall
#11  Graph DBMS
Websiteaws.amazon.com/­neptunearangodb.comwww.ontotext.comwww.h2database.comgithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
Technische Dokumentationaws.amazon.com/­neptune/­developer-resourcesdocs.arangodb.comgraphdb.ontotext.com/­documentationwww.h2database.com/­html/­main.htmldocs.nebula-graph.io
Social network pagesLinkedInTwitterFacebookYouTubeInstagramLinkedInTwitterYouTubeGitHubMedium
EntwicklerAmazonArangoDB Inc.OntotextThomas MuellerVesoft Inc.
Erscheinungsjahr20172012200020052019
Aktuelle Version3.11.5, November 202310.4, Oktober 20232.2.220, Juli 2023
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache Version 2; Commercial license (Enterprise) availablekommerziell infoSome plugins of GraphDB Workbench are open sourcedOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2.0 + Common Clause 1.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ArangoDB Cloud –The Managed Cloud Service of ArangoDB. Provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.
ImplementierungsspracheC++JavaJavaC++
Server BetriebssystemegehostetLinux
OS X
Windows
Alle Betriebssysteme mit einer Java VM
Linux
OS X
Windows
Alle Betriebssysteme mit einer Java VMLinux
Datenschemaschemafreischemafrei infoInnerhalb einer Collection wird das Schema automatisch erkanntschema-free and OWL/RDFS-schema support; RDF shapesjaStrong typed schema
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja infostring, double, boolean, list, hashjajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinnein
Sekundärindizesneinjayes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesjaja infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.
SQL infoSupport of SQLneinneinstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCjaSQL-like query language
APIs und andere ZugriffskonzepteOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
Browser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis infoORM framework for NebulaGraph and Spring-Boot
Proprietäres native API
Python Object Graph Mapper
Query language nGQL
Unterstützte ProgrammiersprachenC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Java.Net
C++
Go
Java
PHP
Python
Server-seitige Scripts infoStored ProceduresneinJavaScriptwell-defined plugin interfaces; JavaScript server-side extensibilityJava Stored Procedures and User-Defined Functionsuser defined functions
Triggersneinneinneinja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineSharding infoAb Version 2.0keinekeineSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Source-replica replication with configurable replication factorMulti-Source ReplikationWith clustering: 2 database servers on different computers operate on identical copies of a databaseCausal Clustering using Raft protocol
MapReduce infoBietet ein API für Map/Reduce Operationenneinnein infoMöglich über stored procedures in JavaScriptneinneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency infoEinstellbar per collection oder per Write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätja infoRelationships in graphsja inforelationships in graphsja infoConstraint checkingjaja infoRelationships in graphs
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDACIDACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajayes, multi-version concurrency control (MVCC)ja
Durability infoDauerhafte Speicherung der Datenja infowith encyption-at-restjajajaja infousing RocksDB
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaja
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)jaDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardRole-based access control
Weitere Informationen bereitgestellt vom Systemhersteller
Amazon NeptuneArangoDBGraphDB infoUrsprünglicher Name: OWLIMH2NebulaGraph
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» mehr
Ontotext GraphDB is a semantic database engine that allows organizations to build...
» mehr
NebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» mehr
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» mehr
GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» mehr
NebulaGraph boasts the world's only graph database solution that is able to host...
» mehr
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» mehr
Metadata enrichment and management, linked data publishing, semantic inferencing...
» mehr
Social networking Fraud detection Knowledge graph Data warehouse management Anti...
» mehr
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» mehr
​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» mehr
Companies from a variety of industries have implemented NebulaGraph Database in production,...
» mehr
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» mehr
GraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» mehr
At our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» mehr
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» mehr
GraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» mehr
NebulaGraph is open source and free to use under Apache 2.0 license.
» mehr
Neuigkeiten

GraphDB in Action: Using Semantics To Push The Envelope Of Software Engineering, Machine Learning, and E-Health Domains
11. September 2024

Accelerating End-to-end Knowledge Graph Solutions with Ontotext’s LinkedLifeData Inventory: The Case of Target Discovery
30. August 2024

Using Entity Linking to Turn Your Graph into a Knowledge Graph
23. August 2024

Considerations to Creating a Graph Center of Excellence: 5 Elements to Ensure Success
22. August 2024

The Power of Knowledge Graphs – A Chat with Perfect Memory and Ontotext
16. August 2024

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Weitere Ressourcen
Amazon NeptuneArangoDBGraphDB infoUrsprünglicher Name: OWLIMH2NebulaGraph
DB-Engines Blog Posts

The Weight of Relational Databases: Time for Multi-Model?
29. August 2017, Luca Olivari (guest author)

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