DBMS > Brytlyt vs. Stardog

System Properties Comparison Brytlyt vs. Stardog

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Our visitors often compare Brytlyt and Stardog with Blazegraph, Spark SQL and PostgreSQL.

Editorial information provided by DB-Engines

Name

Description

Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQL

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

Primary database model

Relational DBMS

Graph DBMS
RDF store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.31
Rank	#256	Overall
	#117	Relational DBMS

Score	1.47
Rank	#144	Overall
	#11	Graph DBMS
	#6	RDF stores

Website

www.brytlyt.com

www.stardog.com

Technical documentation

www.stardog.com/docs

Developer

Brytlyt

Stardog-Union

Initial release

2016

2010

Current release

0.9, October 2016

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

C, C++ and CUDA

Java

Server operating systems

Linux
OS X
Windows

Linux
macOS
Windows

Data scheme

yes

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.

yes

specific XML-type available, but no XML query functionality.

Import/export of XML data possible

Secondary indexes

yes

supports real-time indexing in full-text and geospatial

SQL

Support of SQL

yes

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

APIs and other access methods

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

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
C
C++
Delphi
Java
Perl
Python
Tcl

.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby

Server-side scripts

Stored procedures

user defined functions

in PL/pgSQL

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

Source-replica replication

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

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

fine grained access rights according to SQL-standard

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...
» more

Competitive advantages

Stardog provides a full featureset to aid in data integration for your complex data....
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Typical application scenarios

Stardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
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Key customers

Bosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» more

Market metrics

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

Licensing and pricing models

A fully-featured 60-day Trial license is available for those testing Stardog; contact...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources

Recent citations in the news

Global GPU Database Market Top Players Analysis By 2026: Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix, Graphistry, Anacond etc.a
18 January 2021, NeighborWebSJ

Brytlyt Secures Series A to Turbocharge Real-Time Data Analytics
20 May 2020, PRNewswire

GPU Database Market Status 2021 and Forecast 2026, Top Key Players – Graphistry, NVIDIA, SQream, Brytlyt, BlazingDB, Neo4j, Jedox, Zilliz, HeteroDB, Kinetica, Blazegraph, Anaconda, Fuzzy Logix, OmniSci
15 January 2021, NeighborWebSJ

Brytlyt Welcomes John McAdam as Chairman of the Board
20 October 2020, PRNewswire

GPU Database Market Growth Opportunities, Share by Industry Competitors – Fuzzy Logix, BlazingDB, SQream, HeteroDB, Graphistry, Brytlyt, Anaconda, Jedox, Neo4j, Kinetica, Blazegraph, OmniSci, Zilliz, NVIDIA
19 January 2021, Splash Radio Wales

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