DBMS > Altibase vs. Apache Jena - TDB vs. Oracle Berkeley DB

System Properties Comparison Altibase vs. Apache Jena - TDB vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines

Name

Description

An enterprise grade, high-performance RDBMS

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

Widely used in-process key-value store

Primary database model

Relational DBMS

RDF store

Key-value store

supports sorted and unsorted key sets
Native XML DBMS

in the Oracle Berkeley DB XML version

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

Score	0.87
Rank	#200	Overall
	#93	Relational DBMS

Score	2.91
Rank	#93	Overall
	#3	RDF stores

Score	1.88
Rank	#130	Overall
	#23	Key-value stores
	#3	Native XML DBMS

Website

altibase.com

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

www.oracle.com/database/technologies/related/berkeleydb.html

Technical documentation

github.com/ALTIBASE/Documents/tree/master/Manuals

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

docs.oracle.com/cd/E17076_05/html/index.html

Developer

Altibase

Apache Software Foundation

originally developed by HP Labs

Oracle

originally developed by Sleepycat, which was acquired by Oracle

Initial release

1999

2000

1994

Current release

v7.3, 2023, August 2023

4.9.0, July 2023

18.1.40, May 2020

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

Open Source

Apache License, Version 2.0

Open Source

commercial license available

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++

Java

C, Java, C++ (depending on the Berkeley DB edition)

Server operating systems

AIX
HP-UX
Linux

All OS with a Java VM

AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows

Data scheme

yes

RDF Schemas

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.

yes

only with the Berkeley DB XML edition

Secondary indexes

yes

SQL

Support of SQL

ANSI SQL-92

yes

SQL interfaced based on SQLite is available

APIs and other access methods

JDBC
ODBC
Proprietary protocol

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

Supported programming languages

C
C++
Java

Java

.Net

Figaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others

Third-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js)

3rd party binding
Perl
Python
Tcl

Server-side scripts

Stored procedures

stored procedures and stored functions

yes

Triggers

yes

via event handler

yes

only for the SQL API

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

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

Foreign keys

Referential integrity

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.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Access control via Jena Security

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