DBMS > Apache Jena - TDB vs. Blazegraph vs. Drizzle vs. Hyprcubd

System Properties Comparison Apache Jena - TDB vs. Blazegraph vs. Drizzle vs. Hyprcubd

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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.

Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.

Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines 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.

MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.

Serverless Time Series DBMS

Primary database model

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

Score	3.85
Rank	#86	Overall
	#3	RDF stores

Score	0.77
Rank	#222	Overall
	#20	Graph DBMS
	#8	RDF stores

Website

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

blazegraph.com

hyprcubd.com (offline)

Technical documentation

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

wiki.blazegraph.com

Developer

Apache Software Foundation

originally developed by HP Labs

Blazegraph

Drizzle project, originally started by Brian Aker

Hyprcubd, Inc.

Initial release

2000

2006

2008

Current release

4.9.0, July 2023

2.1.5, March 2019

7.2.4, September 2012

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

Open Source

extended commercial license available

Open Source

GNU GPL

commercial

Cloud-based only

Only available as a cloud service

yes

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Implementation language

Java

C++

Server operating systems

All OS with a Java VM

Linux
OS X
Windows

FreeBSD
Linux
OS X

hosted

Data scheme

yes

RDF Schemas

schema-free

yes

Typing

predefined data types such as float or date

yes

RDF literal types

yes

time, int, uint, float, string

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

SPARQL is used as query language

yes

with proprietary extensions

SQL-like query language

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

JDBC

gRPC (https)

Supported programming languages

Java

.Net
C
C++
Java
JavaScript
PHP
Python
Ruby

C
C++
Java
PHP

Server-side scripts

Stored procedures

yes

Triggers

yes

via event handler

hooks for callbacks inside the server can be used.

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on configuration

Eventual Consistency

Foreign keys

Referential integrity

yes

Relationships in Graphs

yes

Transaction concepts

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

ACID

TDB Transactions

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.

User concepts

Access control

Access control via Jena Security

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

Pluggable authentication mechanisms

e.g. LDAP, HTTP

token access

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