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Stardog System Properties

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Editorial information provided by DB-Engines

Name

Description

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

Primary database model

Graph DBMS
RDF store

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Score	1.46
Rank	#143	Overall
	#11	Graph DBMS
	#6	RDF stores

Website

www.stardog.com

Technical documentation

www.stardog.com/docs

Developer

Stardog-Union

Initial release

2010

Current release

7.3.0, May 2020

License

Commercial or Open Source

commercial info

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

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

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

Implementation language

Java

Server operating systems

Linux
macOS
Windows

Data scheme

schema-free and OWL/RDFS-schema support

Typing

predefined data types such as float or date

yes

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Import/export of XML data possible

Secondary indexes

yes

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 and other access methods

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

Supported programming languages

.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby

Server-side scripts info

Stored procedures

user defined functions and aggregates, HTTP Server extensions in Java

Triggers

yes

via event handlers

Partitioning methods info

Methods for storing different data on different nodes

none

Replication methods info

Methods for redundantly storing data on multiple nodes

Multi-source replication in HA-Cluster

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency in HA-Cluster

Foreign keys info

Referential integrity

yes

relationships in graphs

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts info

Access control

Access rights for users and roles

More information provided by the system vendor

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.

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:

Anti-money laundering & fraud monitoring
Customer 360
Drug discovery & biomarker-based research
Knowledge management
Model-Based Systems Engineering modernization
Smart search on text documents
Supply chain optimization

Key customers

Bosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce, Siemens, Springer, Raytheon 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.

Licensing and pricing models

A fully-featured 60-day Trial license is available for those testing Stardog; contact us if you need an extension! https://www.stardog.com/download/ Commercial applications require an enterprise license.

Academics and students have a 1-year fully-featured trial for non-commercial purposes https://www.stardog.com/download-for-education/

Related products and services

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