DBMS > Apache Jena - TDB vs. HugeGraph vs. Splunk vs. Valentina Server

System Properties Comparison Apache Jena - TDB vs. HugeGraph vs. Splunk vs. Valentina Server

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Editorial information provided by DB-Engines

Name

Description

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

A fast-speed and highly-scalable Graph DBMS

Analytics Platform for Big Data

Object-relational database and reports server

Primary database model

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

Score	3.75
Rank	#84	Overall
	#3	RDF stores

Score	0.13
Rank	#336	Overall
	#32	Graph DBMS

Score	86.45
Rank	#14	Overall
	#2	Search engines

Score	0.17
Rank	#327	Overall
	#145	Relational DBMS

Website

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

github.com/hugegraph
hugegraph.apache.org

www.splunk.com

www.valentina-db.net

Technical documentation

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

hugegraph.apache.org/docs

docs.splunk.com/Documentation/Splunk

valentina-db.com/docs/dokuwiki/v5/doku.php

Developer

Apache Software Foundation

originally developed by HP Labs

Baidu

Splunk Inc.

Paradigma Software

Initial release

2000

2018

2003

1999

Current release

4.9.0, July 2023

0.9

5.7.5

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

Open Source

Apache Version 2.0

commercial

Limited free edition and free developer edition 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

Server operating systems

All OS with a Java VM

Linux
macOS
Unix

Linux
OS X
Solaris
Windows

Linux
OS X
Windows

Data scheme

yes

RDF Schemas

yes

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

also supports composite index and range index

yes

SQL

Support of SQL

Splunk Search Processing Language for search commands

yes

APIs and other access methods

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

Java API
RESTful HTTP API
TinkerPop Gremlin

HTTP REST

ODBC

Supported programming languages

Java

Groovy
Java
Python

C#
Java
JavaScript
PHP
Python
Ruby

.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET

Server-side scripts

Stored procedures

yes

asynchronous Gremlin script jobs

yes

Triggers

yes

via event handler

yes

Partitioning methods

Methods for storing different data on different nodes

none

yes

depending on used storage backend, e.g. Cassandra and HBase

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

depending on used storage backend, e.g. Cassandra and HBase

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

via hugegraph-spark

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Foreign keys

Referential integrity

yes

edges in graph

yes

Transaction concepts

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

ACID

TDB Transactions

ACID

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 capabilities

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

yes

User concepts

Access control

Access control via Jena Security

Users, roles and permissions

Access rights for users and roles

fine grained access rights according to SQL-standard

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Recent citations in the news

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