DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Informationen zu relationalen und NoSQL DatenbankmanagementsystemenEin Service von solid IT

DBMS > Amazon DynamoDB vs. Google Cloud Spanner vs. GraphDB vs. InterSystems Caché vs. TypeDB

Vergleich der Systemeigenschaften Amazon DynamoDB vs. Google Cloud Spanner vs. GraphDB vs. InterSystems Caché vs. TypeDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAmazon DynamoDB  Xaus Vergleich ausschliessenGoogle Cloud Spanner  Xaus Vergleich ausschliessenGraphDB infoUrsprünglicher Name: OWLIM  Xaus Vergleich ausschliessenInterSystems Caché  Xaus Vergleich ausschliessenTypeDB infoformerly named Grakn  Xaus Vergleich ausschliessen
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
KurzbeschreibungGehostetes, skalierbares Datenbankservice von Amazon; die Daten werden in der Amazon Cloud gespeichertA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.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 multi-model DBMS and application serverTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primäres DatenbankmodellDocument Store
Key-Value Store
Relational DBMSGraph DBMS
RDF Store
Key-Value Store
Object oriented DBMS
Relational DBMS
Graph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Sekundäre DatenbankmodelleDocument Store
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte74,45
Rang#17  Overall
#3  Document Stores
#2  Key-Value Stores
Punkte2,84
Rang#100  Overall
#51  Relational DBMS
Punkte3,25
Rang#91  Overall
#7  Graph DBMS
#4  RDF Stores
Punkte0,70
Rang#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Websiteaws.amazon.com/­dynamodbcloud.google.com/­spannerwww.ontotext.comwww.intersystems.com/­products/­cachetypedb.com
Technische Dokumentationdocs.aws.amazon.com/­dynamodbcloud.google.com/­spanner/­docsgraphdb.ontotext.com/­documentationdocs.intersystems.comtypedb.com/­docs
Social network pagesLinkedInTwitterYouTubeGitHubMedium
EntwicklerAmazonGoogleOntotextInterSystemsVaticle
Erscheinungsjahr20122017200019972016
Aktuelle Version10.4, Oktober 20232018.1.4, Mai 20202.26.3, Jaenner 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 verfügbarjajaneinneinnein
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
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Datenschemaschemafreijaschema-free and OWL/RDFS-schema support; RDF shapesdepending on used data modelja
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjanein
Sekundärindizesjajayes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesjaja
SQL infoSupport of SQLneinja infoQuery statements complying to ANSI 2011stored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCjanein
APIs und andere ZugriffskonzepteRESTful HTTP APIgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
.NET Client API
JDBC
ODBC
RESTful HTTP API
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Unterstützte Programmiersprachen.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Java
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-seitige Scripts infoStored Proceduresneinneinwell-defined plugin interfaces; JavaScript server-side extensibilityjanein
Triggersja infoby integration with AWS Lambdaneinneinjanein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingkeinekeineSharding infoby using Cassandra
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenjaMulti-source replication with 3 replicas for regional instances.Multi-Source ReplikationSource-Replica ReplikationMulti-Source Replikation infoby using Cassandra
MapReduce infoBietet ein API für Map/Reduce Operationennein infokann über Amazon Elastic MapReduce (Amazon EMR) realisiert werdenja infousing Google Cloud Dataflowneinneinja infoby using Apache Kafka and Apache Zookeeper
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 infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityja infoConstraint checkingjanein 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 regionACID infoStrict serializable isolationACIDACIDACID
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 haltenneinjanein
Berechtigungskonzept infoZugriffskontrolleZugriffsrechte für Benutzer und Rollen über AWS Identity and Access Management (IAM) definierbarAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Default 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 for users, groups and rolesyes infoat REST API level; other APIs in progress
Weitere Informationen bereitgestellt vom Systemhersteller
Amazon DynamoDBGoogle Cloud SpannerGraphDB infoUrsprünglicher Name: OWLIMInterSystems CachéTypeDB infoformerly named Grakn
Specific characteristicsOntotext 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

Riding the Databricks Wave with Hybrid Knowledge Graphs
6. Juni 2024

Matching Skills and Candidates with Graph RAG
31. Mai 2024

A Triple Store RAG Retriever
29. Mai 2024

Integrating GraphDB with Relational Database Systems
23. Mai 2024

Understanding the Graph Center of Excellence
17. Mai 2024

Wir laden Vertreter der Systemhersteller ein uns zu kontaktieren, um die Systeminformationen zu aktualisieren und zu ergänzen,
sowie um Herstellerinformationen wie Schlüsselkunden, Vorteile gegenüber Konkurrenten und Marktmetriken anzuzeigen.

Zugehörige Produkte und Dienstleistungen
DrittanbieterCData: Connect to Big Data & NoSQL through standard Drivers.
» mehr

Wir laden Vertreter von Anbietern von zugehörigen Produkten ein uns zu kontaktieren, um hier Informationen über ihre Angebote zu präsentieren.

Weitere Ressourcen
Amazon DynamoDBGoogle Cloud SpannerGraphDB infoUrsprünglicher Name: OWLIMInterSystems CachéTypeDB infoformerly named Grakn
DB-Engines Blog Posts

Cloud-based DBMS's popularity grows at high rates
12. Dezember 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7. Februar 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2. Oktober 2015, Paul Andlinger

alle anzeigen

Erwähnungen in aktuellen Nachrichten

Use Amazon DynamoDB incremental exports to drive continuous data retention | Amazon Web Services
12. Juni 2024, AWS Blog

AWS announces Amazon DynamoDB zero-ETL integration with Amazon OpenSearch Service
28. November 2023, AWS Blog

Simplify cross-account access control with Amazon DynamoDB using resource-based policies | Amazon Web Services
20. März 2024, AWS Blog

Simplify private connectivity to Amazon DynamoDB with AWS PrivateLink | Amazon Web Services
19. März 2024, AWS Blog

Introducing configurable maximum throughput for Amazon DynamoDB on-demand | Amazon Web Services
3. Mai 2024, AWS Blog

bereitgestellt von Google News

Google Improves Cloud Spanner: More Compute and Storage without Price Increase
14. Oktober 2023, InfoQ.com

Google turns up the heat on AWS, claims Cloud Spanner is half the cost of DynamoDB
11. Oktober 2023, TechCrunch

Google makes its Cloud Spanner database service faster and more cost-efficient
11. Oktober 2023, SiliconANGLE News

Google Cloud just fired a major volley at AWS as the cloud wars heat up
12. Oktober 2023, TechRadar

Google Spanner: When Do You Need to Move to It?
11. September 2023, hackernoon.com

bereitgestellt von Google News

Ontotext's GraphDB Solution is Now Available on the Microsoft Azure Marketplace
16. Januar 2024, PR Newswire

Ontotext Unveils GraphDB 10.4 with Enhanced AWS Integration and ChatGPT Connector
24. Oktober 2023, Datanami

Ontotext Platform 3.0 for Enterprise Knowledge Graphs Released
18. Dezember 2019, KDnuggets

Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer
13. Juni 2019, Markets Insider

Ontotext's GraphDB 10 Brings Modern Data Architectures to the Mainstream with Better Resilience and Еаsier Operations
5. Juli 2022, PR Newswire

bereitgestellt von Google News

AWS, GCP, Oracle, Azure, SAP Lead Cloud DBMS Market: Gartner
12. Februar 2022, CRN

Epic On EHR Interoperability: Not A '1-Time Project'
10. April 2015, InformationWeek

Associative Data Modeling Demystified - Part1 - DataScienceCentral.com
9. Juli 2016, Data Science Central

Announcing IBM Spectrum Sentinel: Building a Cyber Resilient Future
24. Juni 2022, IBM

Choosing a Database Technology. A roadmap and process overview | by Shirish Joshi
23. Februar 2020, Towards Data Science

bereitgestellt von Google News

Modelling Biomedical Data for a Drug Discovery Knowledge Graph
6. Oktober 2020, Towards Data Science

Spacecraft Engineering Models: How to Migrate UML to TypeQL
8. September 2021, hackernoon.com

How Roche Discovered Novel Potential Gene Targets with TypeDB
8. Juni 2021, Towards Data Science

Building a Biomedical Knowledge Graph | by Daniel Crowe
28. Juni 2021, Towards Data Science

Bayer's Approach to Modelling and Loading Data at Scale
16. August 2021, Towards Data Science

bereitgestellt von Google News



Teilen sie diese Seite mit ihrem Netzwerk

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Präsentieren Sie hier Ihr Produkt