DBMS > Altibase vs. RDF4J vs. Splunk vs. SWC-DB

System Properties Comparison Altibase vs. RDF4J vs. Splunk vs. SWC-DB

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Editorial information provided by DB-Engines

Name

Description

An enterprise grade, high-performance RDBMS

RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.

Analytics Platform for Big Data

A high performance, scalable Wide Column DBMS

Primary database model

Secondary database models

Time Series DBMS

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

Score	1.02
Rank	#189	Overall
	#88	Relational DBMS

Score	0.74
Rank	#222	Overall
	#9	RDF stores

Score	89.10
Rank	#14	Overall
	#2	Search engines

Score	0.08
Rank	#364	Overall
	#13	Wide column stores

Website

altibase.com

rdf4j.org

www.splunk.com

github.com/kashirin-alex/swc-db
www.swcdb.org

Technical documentation

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

rdf4j.org/documentation

docs.splunk.com/Documentation/Splunk

Developer

Altibase

Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.

Splunk Inc.

Alex Kashirin

Initial release

1999

2004

2003

2020

Current release

v7.3, 2023, August 2023

0.5, April 2021

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

Open Source

Eclipse Distribution License (EDL), v1.0.

commercial

Limited free edition and free developer edition available

Open Source

GPL V3

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++

Server operating systems

AIX
HP-UX
Linux

Linux
OS X
Unix
Windows

Linux
OS X
Solaris
Windows

Linux

Data scheme

yes

RDF Schemas

yes

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

Secondary indexes

yes

SQL

Support of SQL

ANSI SQL-92

Splunk Search Processing Language for search commands

SQL-like query language

APIs and other access methods

JDBC
ODBC
Proprietary protocol

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

HTTP REST

Proprietary protocol
Thrift

Supported programming languages

C
C++
Java

Java
PHP
Python

C#
Java
JavaScript
PHP
Python
Ruby

C++

Server-side scripts

Stored procedures

stored procedures and stored functions

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Isolation support depends on the API used

A 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

in-memory storage is supported as well

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 rights for users and roles

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More resources

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