DBMS > Brytlyt vs. HugeGraph vs. PouchDB vs. Stardog vs. YugabyteDB

System Properties Comparison Brytlyt vs. HugeGraph vs. PouchDB vs. Stardog vs. YugabyteDB

Editorial information provided by DB-Engines

Name

Description

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

A fast-speed and highly-scalable Graph DBMS

JavaScript DBMS with an API inspired by CouchDB

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

High-performance distributed SQL database for global, internet-scale applications. Wire compatible with PostgreSQL.

Primary database model

Secondary database models

Document store
Wide column store

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

Score	0.40
Rank	#248	Overall
	#115	Relational DBMS

Score	0.09
Rank	#306	Overall
	#30	Graph DBMS

Score	2.71
Rank	#99	Overall
	#18	Document stores

Score	1.63
Rank	#127	Overall
	#9	Graph DBMS
	#6	RDF stores

Score	0.92
Rank	#179	Overall
	#90	Relational DBMS

Website

Technical documentation

hugegraph.github.io/hugegraph-doc

pouchdb.com/guides

docs.stardog.com

docs.yugabyte.com
github.com/yugabyte/yugabyte-db

Developer

Brytlyt

Baidu

Apache Software Foundation

Stardog-Union

Yugabyte Inc.

Initial release

2016

2018

2012

2010

2017

Current release

0.9, October 2016

0.9

7.1.1, June 2019

7.3.0, May 2020

2.4, January 2021

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

Open Source

commercial

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

Open Source

Apache 2.0

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

JavaScript

Java

C and C++

Server operating systems

Linux
OS X
Windows

Linux
macOS
Unix

server-less, requires a JavaScript environment (browser, Node.js)

Linux
macOS
Windows

Linux
OS X

Data scheme

yes

schema-free

schema-free and OWL/RDFS-schema support

depending on used data model

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

also supports composite index and range index

yes

via views

yes

supports real-time indexing in full-text and geospatial

yes

SQL

Support of SQL

yes

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

yes, PostgreSQL compatible

APIs and other access methods

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

Java API
RESTful HTTP API
TinkerPop Gremlin

HTTP REST

only for PouchDB Server
JavaScript API

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

YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language

Supported programming languages

.Net
C
C++
Delphi
Java
Perl
Python
Tcl

Groovy
Java
Python

JavaScript

.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby

C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ruby

Server-side scripts

Stored procedures

user defined functions

in PL/pgSQL

asynchronous Gremlin script jobs

View functions in JavaScript

user defined functions and aggregates, HTTP Server extensions in Java

yes

sql, plpgsql, C

Triggers

yes

via event handlers

yes

Partitioning methods

Methods for storing different data on different nodes

yes

depending on used storage backend, e.g. Cassandra and HBase

Sharding

with a proxy-based framework, named couchdb-lounge

none

Hash and Range Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes

depending on used storage backend, e.g. Cassandra and HBase

Multi-source replication

also with CouchDB databases
Source-replica replication

also with CouchDB databases

Multi-source replication in HA-Cluster

Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability

MapReduce

Offers an API for user-defined Map/Reduce methods

via hugegraph-spark

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency in HA-Cluster

Strong consistency on writes and tunable consistency on reads

Foreign keys

Referential integrity

yes

edges in graph

yes

relationships in graphs

yes

Transaction concepts

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

ACID

Distributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using IndexedDB, WebSQL or LevelDB as backend

yes

based on RocksDB

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

Users, roles and permissions

Access rights for users and roles

yes

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....
» more

Typical application scenarios

Stardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» more

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

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources

DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

show all

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GPU Database Market Recent Trends and Developments By 2028: Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, etc. – SoccerNurds
10 April 2021, SoccerNurds

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