DBMS > JaguarDB vs. RDFox vs. Transbase vs. VelocityDB vs. YottaDB

System Properties Comparison JaguarDB vs. RDFox vs. Transbase vs. VelocityDB vs. YottaDB

Editorial information provided by DB-Engines

Name

Description

Performant, highly scalable DBMS for AI and IoT applications

High performance knowledge graph and semantic reasoning engine

A resource-optimized, high-performance, universally applicable RDBMS

A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)

A fast and solid embedded Key-value store

Primary database model

Key-value store
Vector DBMS

Graph DBMS
RDF store

Relational DBMS

Graph DBMS
Object oriented DBMS

Key-value store

Secondary database models

Relational DBMS

using the Octo plugin

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

Score	0.00
Rank	#383	Overall
	#60	Key-value stores
	#13	Vector DBMS

Score	0.23
Rank	#308	Overall
	#25	Graph DBMS
	#14	RDF stores

Score	0.11
Rank	#341	Overall
	#150	Relational DBMS

Score	0.05
Rank	#358	Overall
	#36	Graph DBMS
	#16	Object oriented DBMS

Score	0.20
Rank	#317	Overall
	#47	Key-value stores

Website

www.jaguardb.com

www.oxfordsemantic.tech

www.transaction.de/en/products/transbase.html

velocitydb.com

yottadb.com

Technical documentation

www.jaguardb.com/support.html

docs.oxfordsemantic.tech

www.transaction.de/en/products/transbase/features.html

velocitydb.com/UserGuide

yottadb.com/resources/documentation

Developer

DataJaguar, Inc.

Oxford Semantic Technologies

Transaction Software GmbH

VelocityDB Inc

YottaDB, LLC

Initial release

2015

2017

1987

2011

2001

Current release

3.3 July 2023

6.0, Septermber 2022

Transbase 8.3, 2022

7.x

License

Commercial or Open Source

Open Source

GPL V3.0

commercial

free development license

commercial

Open Source

AGPL 3.0

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++

the server part. Clients available in other languages

C++

C and C++

Server operating systems

Linux

Linux
macOS
Windows

FreeBSD
Linux
macOS
Solaris
Windows

Any that supports .NET

Docker
Linux

Data scheme

yes

RDF schemas

yes

schema-free

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.

Secondary indexes

yes

SQL

Support of SQL

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

yes

by using the Octo plugin

APIs and other access methods

JDBC
ODBC

RESTful HTTP API
SPARQL 1.1

ADO.NET
JDBC
ODBC
Proprietary native API

.Net

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

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

C
Java

C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python

.Net

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

yes

Triggers

yes

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

replication via a shared file system

Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

yes

ACID

optimistic locking

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

rights management via user accounts

Roles, resources, and access types

fine grained access rights according to SQL-standard

Based on Windows Authentication

Users and groups based on OS-security mechanisms

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More resources

Recent citations in the news

Use semantic reasoning to infer new facts from your RDF graph by integrating RDFox with Amazon Neptune | Amazon ...
20 February 2023, AWS Blog

The intuitions behind Knowledge Graphs and Reasoning | by Peter Crocker
5 May 2020, Towards Data Science

Eight interesting open-source graph databases
3 January 2023, INDIAai

Financial Crime Discovery using Amazon EKS and Graph Databases | Amazon Web Services
1 February 2022, AWS Blog

Finding patterns with rules, using Knowledge Graphs and Semantic Reasoning | by Peter Crocker
14 May 2020, Towards Data Science

provided by Google News

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