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TypeDB Systemeigenschaften

Bitte wählen Sie ein weiteres System aus, um es mit TypeDB zu vergleichen.

Unsere Besucher vergleichen TypeDB oft mit Qdrant, Pinecone und Neo4j.

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NameTypeDB infoformerly named Grakn
KurzbeschreibungTypeDB 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 DatenbankmodellGraph 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
Rang#236  Overall
#21  Graph DBMS
#9  Object oriented DBMS
#109  Relational DBMS
Technische Dokumentationtypedb.com/­docs
Aktuelle Version2.28.3, Juni 2024
Lizenz infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server BetriebssystemeLinux
Typisierung infovordefinierte Datentypen, z.B. float oder dateja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTnein
SQL infoSupport of SQLnein
APIs und andere ZugriffskonzeptegRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
Unterstützte ProgrammiersprachenAll JVM based languages
JavaScript (Node.js)
Server-seitige Scripts infoStored Proceduresnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenno
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSynchronous replication via raft
MapReduce infoBietet ein API für Map/Reduce Operationenno
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätnein infosubstituted by the relationship feature
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja
Durability infoDauerhafte Speicherung der Datenja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltennein
Berechtigungskonzept infoZugriffskontrolleyes infoat REST API level; other APIs in progress
Weitere Informationen bereitgestellt vom Systemhersteller
TypeDB infoformerly named Grakn
Specific characteristics

TypeDB is a polymorphic database with a conceptual data model, a strong subtyping system, a symbolic reasoning engine, and an elegant type-theoretic language: TypeQL. TypeDB empowers you to efficiently tackle complex problems in a large variety of application domains.

The polymorphic database paradigm

TypeDB is based on a new, expressive database paradigm comprising four key ingredients.

  • The polymorphic data model of TypeDB structures data in schemas of entities, relations, and attributes, enhanced with polymorphism. This allows you to build database applications directly on conceptual data models, which are commonly used for high level representations of domains and their data.

  • All components of the polymorphic data model are captured by a continuously extensible strong type system. This enables both the semantic validation of queries, avoiding inconsistencies in data insertions or query patterns, and fully extensible database schemas, minimizing the required maintenance for queries and logical rules.

  • TypeQL is a fully declarative query language, tailored to the type system of TypeDB. Queries comprise composable declarative patterns, in which all data or types can be queried for as variables. This results in an expressive and intuitive language that makes it easy to manage, query, and reason over complex data structures.

  • The type-theoretic language of TypeDB facilitates a powerful native reasoning engine, in which rules are written using patterns, just like queries. Highly complex logical behaviors can be described using rules that are individually very simple, mirroring the true semantic logic of complex data domains.

The polymorphic database paradigm of TypeDB provides native interoperability with object-oriented principles and other common database paradigms, including graph and relational databases.

Learn more about the Philosophy behind TypeDB.

High efficiency database engineering

TypeDB breaks down the patchwork of existing database paradigms into simple conceptual ingredients, providing a unified way to work with data across all database applications, and this directly impacts application development in several ways.

  • Work directly with high-level conceptual models eliminating the need for specific physical-level representations, and enjoy continuous extensibility of your schema

  • Make use of full object model parity when working with object-oriented programming languages.

  • Use simple and effective rule-based reasoning to integrate complex application logic into your database design.

  • Let TypeDB's inference engine guarantee data consistency at all times.

  • Write high-clarity code with TypeQL's near-natural queries even for the most complex data structures.

  • Unleash the power of fully declarative and composable patterns onto your data.

  • Work directly in TypeDB’s beautiful IDE: TypeDB Studio

Visit TypeDB.com to get started!

Competitive advantages

TypeDB provides a new level of expressivity, extensibility, interoperability, and performance, all powered by its novel polymorphic data model. Check out our full list of features.

Native data polymorphism

TypeDB allows you to model structured data in terms of concepts (entities, relations, and attributes) and the mutual data dependencies between them, further enhanced with inheritance and interface polymorphism. This enables the expression of concept hierarchies and dependency abstractions.

Inheritance hierarchies

Following object-oriented principles, TypeDB allows data types to inherit the behaviours and properties of their supertypes. In this way, complex data structures become reusable and more easily queryable.

Interface abstractions

TypeDB allows data dependencies to be abstracted in interfaces. These interface capabilities are passed down through inheritance hierarchies, yielding a powerful way of combining inheritance and interface polymorphism.

Expressive relations

TypeDB allows the specification of relations with any number of role types. Relations, like entities, are first-class objects - they can be freely given the capability of relation role players and attribute value owners. This resolves many modeling issues found in more restrictive database paradigms.

N-ary relations (hyperedges)

Construct rich data representations by directly implementing unary, binary, ternary, and n-ary relations in your conceptual model. TypeQL’s expressivity allows you to use the same constructor format for all relations, regardless of the number of roleplayers.

Nested relations (reified edges)

Relations can play roles in other relations just like entities. With no limit to the depth of nesting for relations, you can express the full richness of your data without reifying your data model.

Extensible strong type system

Semantic Data Validation

TypeDB validates all queries and rules against the type system defined in the schema to ensure semantic correctness. 

Full extensibility

The type system guarantees that users need not worry about queries breaking or data being orphaned when the database schema changes. 

Powerful reasoning engine 

TypeDB can model complex logical behaviour by encoding rules as part of your database schema, enabling rule-based query-time fact generation.

  • Rule-based application logic can be captured directly
  • TypeDB can provide explainations for all deductions
  • Data stays up to date, since rules are executed at query time

Intuitive Attributes

In TypeDB, attribute types carry values associated to specific entities and relations. There are no NULLs and no default restrictions on how many attributes a given entity or relation may have. This makes attributes in TypeDB behave much more "intuitively" than in other database systems:  

  • Easily work with multi-valued attributes
  • Avoid NULL values
  • Model common attribute constraints

Robust API

TypeDB provides a robust API and several native language drivers and several key properties including:

  • ACID compliance
  • Asynchronous protocol
  • Reactive streaming
  • Stateful, programmatic and performant

Visit TypeQL docs to learn more.

Typical application scenarios
  • Life sciences: TypeDB makes working with biological data much easier and accelerates the knowledge discovery process (for examples, read more and see Github).
  • Security & defence: TypeDB allows security professionals to leverage complex sources of data to make decisions in defence of national security (for examples, read more and see Github).
  • Robotics: TypeDB enables the creation of robotics and autonomous vehicles by enabling them to make the right behavioural decisions to achieve real-time tasks.
  • Financial Services: TypeDB allows the integration of hugely complex financial networks of data in a simple and intuitive way.
Licensing and pricing models

Apache for language drivers, and AGPL and Commercial for the database server.

The commercial license is priced based on cluster resources of a hosted TypeDB instance on Google Cloud Platform and Amazon Web Services. Visit TypeDB Cluster or contact our enterprise team to learn more.

Zugehörige Produkte und Dienstleistungen

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

Weitere Ressourcen
TypeDB infoformerly named Grakn
Erwähnungen in aktuellen Nachrichten

An Enterprise Data Stack Using TypeDB
2. September 2021, Towards Data Science

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

Speedb Goes Open Source With Its Speedb Data Engine, A Drop-in Replacement for RocksDB
9. November 2022, businesswire.com

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

Healthcare and business: How medical trends are evolving following the pandemic
6. Mai 2022, City, University of London

bereitgestellt von Google News

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