DBMS > Stardog

Stardog Systemeigenschaften

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Unsere Besucher vergleichen Stardog oft mit Neo4j, GraphDB und Amazon Neptune.

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Name

Kurzbeschreibung

Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization

Primäres Datenbankmodell

Graph DBMS
RDF Store

DB-Engines Ranking misst die Popularität von Datenbankmanagement- systemen
Trend Chart

Punkte	1,98
Rang	#156	Overall
	#12	Graph DBMS
	#6	RDF Stores

Website

www.stardog.com

Technische Dokumentation

docs.stardog.com

Entwickler

Stardog-Union

Erscheinungsjahr

2010

Aktuelle Version

7.3.0, Mai 2020

Lizenz

Commercial or Open Source

kommerziell

60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students

Ausschließlich ein Cloud-Service

Nur als Cloud-Service verfügbar

nein

DBaaS Angebote (gesponserte Links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementierungssprache

Java

Server Betriebssysteme

Linux
macOS
Windows

Datenschema

schema-free and OWL/RDFS-schema support

Typisierung

vordefinierte Datentypen, z.B. float oder date

XML Unterstützung

Verarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLT

nein

Importieren/Exportieren von XML Daten möglich

Sekundärindizes

supports real-time indexing in full-text and geospatial

SQL

Support of SQL

Yes, compatible with all major SQL variants through dedicated BI/SQL Server

APIs und andere Zugriffskonzepte

GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3

Unterstützte Programmiersprachen

.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby

Server-seitige Scripts

Stored Procedures

user defined functions and aggregates, HTTP Server extensions in Java

Triggers

via event handlers

Partitionierungsmechanismen

Methoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knoten

keine

Replikationsmechanismen

Methoden zum redundanten Speichern von Daten auf mehreren Knoten

Multi-Source Replikation in HA-Cluster

MapReduce

Bietet ein API für Map/Reduce Operationen

nein

Konsistenzkonzept

Methoden zur Sicherstellung der Konsistenz in einem verteilten System

Immediate Consistency in HA-Cluster

Fremdschlüssel

referenzielle Integrität

Beziehungen in Graphen

Transaktionskonzept

Unterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationen

ACID

Concurrency

Unterstützung von gleichzeitig ausgeführten Datenmanipulationen

Durability

Dauerhafte Speicherung der Daten

In-Memory Unterstützung

Gibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu halten

Berechtigungskonzept

Zugriffskontrolle

Zugriffsrechte für Benutzer und Rollen

Weitere Informationen bereitgestellt vom Systemhersteller

Specific characteristics

Stardog is an Enterprise Knowledge Graph platform, uniquely combining graph storage and virtualization capabilities for flexible, cost-effective data integration. Stardog is scalable, secure, and standards-based.

What is a Knowledge Graph? Click here.

Customers enjoy Stardog because the platform:

Encodes the meaning of the data alongside the data itself (persisting metadata, real-world context)
Incorporates real-world rules and uses best-in-class inference to make implicit knowledge explicit
Provides a flexible view of data, serving multiple use cases with one model

Competitive advantages

Stardog provides a full featureset to aid in data integration for your complex data. Benefits include:

Virtual data Connectors to all major SQL servers, Cassandra, MongoDB and more to easily access data silos
NLP pipeline, BITES, lets you incorporate unstructured data in addition to SQL and NoSQL data into the knowledge graph
Data virtualization in addition to ETL to sustainably add data to the knowledge graph
BI/SQL Server which translates the knowledge graph back into SQL; supported platforms include Tableau, PowerBI, Cognos, and more
Just-in-time inference allows you to explore your data with different sets of rules applied
Built in machine learning including predictive analytics and similarity search
Path queries allow you to traverse the graph, unearthing connections in your data

Typical application scenarios

Stardog is frequently used for:

Supply chain optimization
Operational Risk
Digital Twin initiatives
Pharma R&D: target evaluation, drug repurposing, and clinical trial development
FAIR implementations
Anti-money laundering & fraud monitoring
Customer 360
Model-Based Systems Engineering modernization

Key customers

Bosch, NASA, Boehringer Ingelheim, Cisco, Schneider Electric, FINRA and more — https://www.stardog.com/customers/

Market metrics

Stardog's technology is based on ground-breaking research by our founders cited 10,000+ times.

Forrester determined an ROI of 320% and total benefits of over $9.86 million over three years for the Stardog Enterprise Knowledge Graph Platform.

There have been significant performance and scalability improvements over the last few years. We have shown that Stardog can provide sub-second query answering times over a hybrid multi-cloud Knowledge Graph with 1 trillion edges. We have improved data ingestion speeds by 500% and can bulk load data into Stardog at a speed of a million triples per second when using faster disks and CPUs. There have been improvements to query answering performance across various use cases, including but not limited to path queries, full text queries, and reasoning queries.

Licensing and pricing models

You can start for free! It’s easy to get started using Stardog’s leading Enterprise Knowledge Graph platform. Create an instance in the cloud or download and run a self-managed version. https://www.stardog.com/get-started/

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

Erwähnungen in aktuellen Nachrichten

Northwind SQL vs SPARQL hands-on experience on Knowledge Graph database.
22. April 2023, levelup.gitconnected.com

Virtual Graphs: Relational Data in Stardog
11. Januar 2017, stardog.com

stardog-union/stardog-language-servers: Language Servers for Stardog Languages
15. Januar 2019, github.com

Stardog 7: The manual - Documentation Page
25. Januar 2021, s3.amazonaws.com

Visualizing the Stardog database
17. Juli 2019, cambridge-intelligence.com

bereitgestellt von Google News

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