DBMS > Apache Jena - TDB vs. Bangdb vs. Quasardb

System Properties Comparison Apache Jena - TDB vs. Bangdb vs. Quasardb

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Name

Description

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

Converged and high performance database for device data, events, time series, document and graph

Distributed, high-performance timeseries database

Primary database model

RDF store

Document store
Graph DBMS
Time Series DBMS

Time Series DBMS

Secondary database models

Spatial DBMS

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

Score	3.75
Rank	#84	Overall
	#3	RDF stores

Score	0.08
Rank	#347	Overall
	#47	Document stores
	#34	Graph DBMS
	#31	Time Series DBMS

Score	0.14
Rank	#332	Overall
	#29	Time Series DBMS

Website

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

bangdb.com

quasar.ai

Technical documentation

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

docs.bangdb.com

doc.quasar.ai/master

Developer

Apache Software Foundation

originally developed by HP Labs

Sachin Sinha, BangDB

quasardb

Initial release

2000

2012

2009

Current release

4.9.0, July 2023

BangDB 2.0, October 2021

3.14.1, January 2024

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

Open Source

BSD 3

commercial

Free community edition, Non-profit organizations and non-commercial usage are eligible for free licenses

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

Java

C, C++

C++

Server operating systems

All OS with a Java VM

Linux

BSD
Linux
OS X
Windows

Data scheme

yes

RDF Schemas

schema-free

Typing

predefined data types such as float or date

yes

yes: string, long, double, int, geospatial, stream, events

yes

integer and binary

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

secondary, composite, nested, reverse, geospatial

yes

with tags

SQL

Support of SQL

SQL like support with command line tool

SQL-like query language

APIs and other access methods

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

Proprietary protocol
RESTful HTTP API

HTTP API

Supported programming languages

Java

C
C#
C++
Java
Python

.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R

Server-side scripts

Stored procedures

yes

Triggers

yes

via event handler

yes, Notifications (with Streaming only)

Partitioning methods

Methods for storing different data on different nodes

none

Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm

Sharding

consistent hashing

Replication methods

Methods for redundantly storing data on multiple nodes

none

selectable replication factor, Knob for CAP (enterprise version only)

Source-replica replication with selectable replication factor

MapReduce

Offers an API for user-defined Map/Reduce methods

with Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Tunable consistency, set CAP knob accordingly

Immediate Consistency

Foreign keys

Referential integrity

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

yes, optimistic concurrency control

yes

Durability

Support for making data persistent

yes

yes, implements WAL (Write ahead log) as well

yes

by using LevelDB

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes, run db with in-memory only mode

yes

Transient mode

User concepts

Access control

Access control via Jena Security

yes (enterprise version only)

Cryptographically strong user authentication and audit trail

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