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Stardog System Properties

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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	1.88
Rank	#128	Overall
	#10	Graph DBMS
	#6	RDF stores

Website

www.stardog.com

Technical documentation

docs.stardog.com

Developer

Stardog-Union

Initial release

2010

Current release

7.3.0, May 2020

License

Commercial or Open Source

commercial

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

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

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

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

Stored procedures

user defined functions and aggregates, HTTP Server extensions in Java

Triggers

yes

via event handlers

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

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

Methods to ensure consistency in a distributed system

Immediate Consistency in HA-Cluster

Foreign keys

Referential integrity

yes

relationships in graphs

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

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

yes

User concepts

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.

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, Morgan Stanley, 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! A fully-featured license is available for those testing Stardog: https://www.stardog.com/get-started/

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

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