DBMS > Apache Jena - TDB vs. Blazegraph vs. FatDB vs. LokiJS

System Properties Comparison Apache Jena - TDB vs. Blazegraph vs. FatDB vs. LokiJS

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Editorial information provided by DB-Engines

Name

Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.

FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.

Description

A RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena framework

High-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.

A .NET NoSQL DBMS that can integrate with and extend SQL Server.

In-memory JavaScript DBMS

Primary database model

RDF store

Graph DBMS
RDF store

Document store
Key-value store

Document store

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

Score	2.91
Rank	#93	Overall
	#3	RDF stores

Score	0.74
Rank	#217	Overall
	#19	Graph DBMS
	#8	RDF stores

Score	0.44
Rank	#256	Overall
	#40	Document stores

Website

jena.apache.org/documentation/tdb/index.html

blazegraph.com

github.com/techfort/LokiJS

Technical documentation

jena.apache.org/documentation/tdb/index.html

wiki.blazegraph.com

techfort.github.io/LokiJS

Developer

Apache Software Foundation

originally developed by HP Labs

Blazegraph

FatCloud

Initial release

2000

2006

2012

2014

Current release

4.9.0, July 2023

2.1.5, March 2019

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

Open Source

extended commercial license available

commercial

Open Source

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

Java

JavaScript

Server operating systems

All OS with a Java VM

Linux
OS X
Windows

Windows

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

Data scheme

yes

RDF Schemas

schema-free

Typing

predefined data types such as float or date

yes

RDF literal types

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

via views

SQL

Support of SQL

SPARQL is used as query language

Via inetgration in SQL Server

APIs and other access methods

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3

.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings

JavaScript API

Supported programming languages

Java

.Net
C
C++
Java
JavaScript
PHP
Python
Ruby

JavaScript

Server-side scripts

Stored procedures

yes

via applications

View functions in JavaScript

Triggers

yes

via event handler

yes

via applications

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

selectable replication factor

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on configuration

Eventual Consistency
Immediate Consistency

none

Foreign keys

Referential integrity

yes

Relationships in Graphs

Transaction concepts

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

ACID

TDB Transactions

ACID

atomic operations within a single collection possible

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

Serialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.

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 control via Jena Security

Security and Authentication via Web Application Container (Tomcat, Jetty)

Can implement custom security layer via applications

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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

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Recent citations in the news

Sparql Secrets In Jena-Fuseki
24 July 2022, Data Science Central

Extract and query knowledge graphs using Apache Jena (SPARQL Engine)
4 December 2019, Towards Data Science

Introducing Graph Store Protocol support for Amazon Neptune
2 August 2021, AWS Blog

A Semantic Knowledge Graph of European Mountain Value Chains
7 September 2024, Nature.com

6 Java Libraries for Machine Learning
3 October 2023, AIM

provided by Google News

Video: Blazegraph Accelerates Graph Computing with GPUs
20 December 2015, insideHPC

Harnessing GPUs Delivers a Big Speedup for Graph Analytics
15 December 2015, Datanami

This AI Paper Introduces A Comprehensive RDF Dataset With Over 26 Billion Triples Covering Scholarly Data Across All Scientific Disciplines
19 August 2023, MarkTechPost

provided by Google News

LokiJS - A JavaScript Database
18 November 2014, iProgrammer

provided by Google News

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