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DBMS > Amazon DynamoDB vs. CouchDB vs. GraphDB vs. TypeDB vs. Vertica

Vergleich der Systemeigenschaften Amazon DynamoDB vs. CouchDB vs. GraphDB vs. TypeDB vs. Vertica

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAmazon DynamoDB  Xaus Vergleich ausschliessenCouchDB infosteht für "Cluster Of Unreliable Commodity Hardware"  Xaus Vergleich ausschliessenGraphDB infoUrsprünglicher Name: OWLIM  Xaus Vergleich ausschliessenTypeDB infoformerly named Grakn  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessen
KurzbeschreibungGehostetes, skalierbares Datenbankservice von Amazon; die Daten werden in der Amazon Cloud gespeichertEin JSON - Document Store inspiriert durch Lotus Notes der von Server-Clustern bis Mobile Phones skaliertEnterprise-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.TypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.Cloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primäres DatenbankmodellDocument Store
Key-Value Store
Document StoreGraph DBMS
RDF Store
Graph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
Relational DBMS infoColumn oriented
Sekundäre DatenbankmodelleSpatial DBMS infousing the Geocouch extensionSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte74,45
Rang#17  Overall
#3  Document Stores
#2  Key-Value Stores
Punkte8,30
Rang#47  Overall
#7  Document Stores
Punkte3,25
Rang#91  Overall
#7  Graph DBMS
#4  RDF Stores
Punkte0,70
Rang#230  Overall
#20  Graph DBMS
#8  Object oriented DBMS
#106  Relational DBMS
Punkte10,06
Rang#42  Overall
#26  Relational DBMS
Websiteaws.amazon.com/­dynamodbcouchdb.apache.orgwww.ontotext.comtypedb.comwww.vertica.com
Technische Dokumentationdocs.aws.amazon.com/­dynamodbdocs.couchdb.org/­en/­stablegraphdb.ontotext.com/­documentationtypedb.com/­docsvertica.com/­documentation
Social network pagesLinkedInTwitterYouTubeGitHubMedium
EntwicklerAmazonApache Software Foundation infoApache Top-Level Projekt, ursprünglich entwickelt von Damien Katz, ehemaliger Lotus Notes EntwicklerOntotextVaticleOpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr20122005200020162005
Aktuelle Version3.3.3, Dezember 202310.4, Oktober 20232.28.3, Juni 202412.0.3, Jänner 2023
Lizenz infoCommercial or Open Sourcekommerziell infokostenlos bis zu einer gewissen Anzahl von DatenbankoperationenOpen Source infoApache Version 2kommerziell infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoGPL Version 3, commercial licenses availablekommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinneinneinnein infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheErlangJavaJavaC++
Server BetriebssystemegehostetAndroid
BSD
Linux
OS X
Solaris
Windows
Alle Betriebssysteme mit einer Java VM
Linux
OS X
Windows
Linux
OS X
Windows
Linux
Datenschemaschemafreischemafreischema-free and OWL/RDFS-schema support; RDF shapesjaYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typisierung infovordefinierte Datentypen, z.B. float oder datejaneinjajayes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinnein
Sekundärindizesjaja infoüber Viewsyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesjaNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLneinneinstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCneinFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs und andere ZugriffskonzepteRESTful HTTP APIRESTful HTTP/JSON APIGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Unterstützte Programmiersprachen.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored ProceduresneinView Functions in JavaScriptwell-defined plugin interfaces; JavaScript server-side extensibilityneinyes, PostgreSQL PL/pgSQL, with minor differences
Triggersja infoby integration with AWS Lambdajaneinneinyes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infoimproved architecture with release 2.0keinenohorizontal partitioning, hierarchical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenjaMulti-Source Replikation
Source-Replica Replikation
Multi-Source ReplikationSynchronous replication via raftMulti-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoBietet ein API für Map/Reduce Operationennein infokann über Amazon Elastic MapReduce (Amazon EMR) realisiert werdenjaneinnono infoBi-directional Spark integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Immediate Consistency infokann bei LeseOperationen spezifiziert werden
Eventual ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinja infoConstraint checkingnein infosubstituted by the relationship featureja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACID infoACID across one or more tables within a single AWS account and regionnein infoatomare Operationen innerhalb eines Dokumentes möglichACIDACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjaja infoStrategie: optimistic lockingjajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinnein
Berechtigungskonzept infoZugriffskontrolleZugriffsrechte für Benutzer und Rollen über AWS Identity and Access Management (IAM) definierbarZugriffsrechte für Benutzer pro Datenbank definierbarDefault 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.yes infoat REST API level; other APIs in progressfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
Amazon DynamoDBCouchDB infosteht für "Cluster Of Unreliable Commodity Hardware"GraphDB infoUrsprünglicher Name: OWLIMTypeDB infoformerly named GraknVertica infoOpenText™ Vertica™
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
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TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
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Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
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TypeDB provides a new level of expressivity, extensibility, interoperability, and...
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Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
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Life sciences : TypeDB makes working with biological data much easier and accelerates...
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Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
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Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
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Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
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Apache f or language drivers, and AGPL and Commercial for the database server. The...
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Cost-based models and subscription-based models are both available. One license is...
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Weitere Ressourcen
Amazon DynamoDBCouchDB infosteht für "Cluster Of Unreliable Commodity Hardware"GraphDB infoUrsprünglicher Name: OWLIMTypeDB infoformerly named GraknVertica infoOpenText™ Vertica™
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