DBMS > Apache Jena - TDB vs. Bangdb vs. DolphinDB vs. FatDB vs. Kingbase

System Properties Comparison Apache Jena - TDB vs. Bangdb vs. DolphinDB vs. FatDB vs. Kingbase

Editorial information provided by DB-Engines

Name

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

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

DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.

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

An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.

Primary database model

RDF store

Document store
Graph DBMS
Time Series DBMS

Time Series DBMS

Document store
Key-value store

Relational DBMS

Secondary database models

Spatial DBMS

Relational DBMS

Document store
Spatial DBMS

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

Score	3.62
Rank	#83	Overall
	#3	RDF stores

Score	0.16
Rank	#338	Overall
	#47	Document stores
	#32	Graph DBMS
	#31	Time Series DBMS

Score	4.03
Rank	#78	Overall
	#6	Time Series DBMS

Score	0.50
Rank	#257	Overall
	#119	Relational DBMS

Website

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

bangdb.com

www.dolphindb.com

www.kingbase.com.cn

Technical documentation

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

docs.bangdb.com

docs.dolphindb.cn/en/help200/index.html

Developer

Apache Software Foundation

originally developed by HP Labs

Sachin Sinha, BangDB

DolphinDB, Inc

FatCloud

BeiJing KINGBASE Information technologies inc.

Initial release

2000

2012

2018

2012

1999

Current release

4.9.0, July 2023

BangDB 2.0, October 2021

v2.00.4, January 2022

V8.0, August 2021

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

Open Source

BSD 3

commercial

free community version available

commercial

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++

C and Java

Server operating systems

All OS with a Java VM

Linux

Linux
Windows

Windows

Linux
Windows

Data scheme

yes

RDF Schemas

schema-free

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

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

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

Secondary indexes

yes

secondary, composite, nested, reverse, geospatial

yes

SQL

Support of SQL

SQL like support with command line tool

SQL-like query language

Via inetgration in SQL Server

Standard with numerous extensions

APIs and other access methods

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

Proprietary protocol
RESTful HTTP API

JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket

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

ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT

Supported programming languages

Java

C
C#
C++
Java
Python

C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust

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

Server-side scripts

Stored procedures

yes

via applications

user defined functions

Triggers

yes

via event handler

yes, Notifications (with Streaming only)

yes

via applications

yes

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

horizontal partitioning

Sharding

horizontal partitioning (by range, list and hash) and vertical partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

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

yes

selectable replication factor

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Tunable consistency, set CAP knob accordingly

Immediate Consistency

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

TDB Transactions

ACID

yes

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

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

User concepts

Access control

Access control via Jena Security

yes (enterprise version only)

Administrators, Users, Groups

Can implement custom security layer via applications

fine grained access rights according to SQL-standard

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