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DBMS > Amazon DynamoDB vs. Databricks vs. GraphDB vs. Microsoft Azure Table Storage vs. TypeDB

Vergleich der Systemeigenschaften Amazon DynamoDB vs. Databricks vs. GraphDB vs. Microsoft Azure Table Storage vs. TypeDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAmazon DynamoDB  Xaus Vergleich ausschliessenDatabricks  Xaus Vergleich ausschliessenGraphDB infoUrsprünglicher Name: OWLIM  Xaus Vergleich ausschliessenMicrosoft Azure Table Storage  Xaus Vergleich ausschliessenTypeDB infoformerly named Grakn  Xaus Vergleich ausschliessen
KurzbeschreibungGehostetes, skalierbares Datenbankservice von Amazon; die Daten werden in der Amazon Cloud gespeichertThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.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.A Wide Column Store for rapid development using massive semi-structured datasetsTypeDB 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.
Primäres DatenbankmodellDocument Store
Key-Value Store
Document Store
Relational DBMS
Graph DBMS
RDF Store
Wide Column StoreGraph 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.
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte70,06
Rang#17  Overall
#3  Document Stores
#2  Key-Value Stores
Punkte84,24
Rang#14  Overall
#2  Document Stores
#9  Relational DBMS
Punkte2,76
Rang#99  Overall
#8  Graph DBMS
#4  RDF Stores
Punkte3,55
Rang#80  Overall
#6  Wide Column Stores
Punkte0,65
Rang#230  Overall
#20  Graph DBMS
#9  Object oriented DBMS
#107  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.databricks.comwww.ontotext.comazure.microsoft.com/­en-us/­services/­storage/­tablestypedb.com
Technische Dokumentationdocs.aws.amazon.com/­dynamodbdocs.databricks.comgraphdb.ontotext.com/­documentationtypedb.com/­docs
Social network pagesLinkedInTwitterYouTubeGitHubMedium
EntwicklerAmazonDatabricksOntotextMicrosoftVaticle
Erscheinungsjahr20122013200020122016
Aktuelle Version10.4, Oktober 20232.28.3, Juni 2024
Lizenz infoCommercial or Open Sourcekommerziell infokostenlos bis zu einer gewissen Anzahl von Datenbankoperationenkommerziellkommerziell infoSome plugins of GraphDB Workbench are open sourcedkommerziellOpen Source infoGPL Version 3, commercial licenses available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjajaneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaJava
Server BetriebssystemegehostetgehostetAlle Betriebssysteme mit einer Java VM
Linux
OS X
Windows
gehostetLinux
OS X
Windows
DatenschemaschemafreiFlexible Schema (defined schema, partial schema, schema free)schema-free and OWL/RDFS-schema support; RDF shapesschemafreija
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjaneinneinnein
Sekundärindizesjajayes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesneinja
SQL infoSupport of SQLneinwith Databricks SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCneinnein
APIs und andere ZugriffskonzepteRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
RESTful HTTP APIgRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
Unterstützte Programmiersprachen.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Python
R
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
Server-seitige Scripts infoStored Proceduresneinbenutzerdefinierte Funktionenwell-defined plugin interfaces; JavaScript server-side extensibilityneinnein
Triggersja infoby integration with AWS Lambdaneinneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingkeineSharding infoImplicit feature of the cloud serviceno
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenjajaMulti-Source Replikationja infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Synchronous replication via raft
MapReduce infoBietet ein API für Map/Reduce Operationennein infokann über Amazon Elastic MapReduce (Amazon EMR) realisiert werdenneinneinno
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Immediate Consistency infokann bei LeseOperationen spezifiziert werden
Immediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinja infoConstraint checkingneinnein infosubstituted by the relationship feature
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACID infoACID across one or more tables within a single AWS account and regionACIDACIDoptimistic LockingACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
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) 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.Access rights based on private key authentication or shared access signaturesyes infoat REST API level; other APIs in progress
Weitere Informationen bereitgestellt vom Systemhersteller
Amazon DynamoDBDatabricksGraphDB infoUrsprünglicher Name: OWLIMMicrosoft Azure Table StorageTypeDB infoformerly named Grakn
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» mehr
Ontotext GraphDB is a semantic database engine that allows organizations to build...
» mehr
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» mehr
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» mehr
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» mehr
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» mehr
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» mehr
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» mehr
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» mehr
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» mehr
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» 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 DynamoDBDatabricksGraphDB infoUrsprünglicher Name: OWLIMMicrosoft Azure Table StorageTypeDB infoformerly named Grakn
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