DBMS > Apache Jena - TDB vs. Oracle NoSQL vs. Typesense vs. VelocityDB

System Properties Comparison Apache Jena - TDB vs. Oracle NoSQL vs. Typesense vs. VelocityDB

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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 multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes

A typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity

A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)

Primary database model

RDF store

Document store
Key-value store
Relational DBMS

Search engine

Graph DBMS
Object oriented DBMS

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

Score	3.75
Rank	#84	Overall
	#3	RDF stores

Score	2.95
Rank	#100	Overall
	#17	Document stores
	#17	Key-value stores
	#50	Relational DBMS

Score	0.79
Rank	#210	Overall
	#14	Search engines

Score	0.05
Rank	#358	Overall
	#36	Graph DBMS
	#16	Object oriented DBMS

Website

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

www.oracle.com/database/nosql/technologies/nosql

typesense.org

velocitydb.com

Technical documentation

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

docs.oracle.com/en/database/other-databases/nosql-database/index.html

typesense.org/docs

velocitydb.com/UserGuide

Developer

Apache Software Foundation

originally developed by HP Labs

Oracle

VelocityDB Inc

Initial release

2000

2011

2015

2011

Current release

4.9.0, July 2023

23.3, December 2023

7.x

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

Open Source

Proprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)

Open Source

GPL V3

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++

Server operating systems

All OS with a Java VM

Linux
Solaris SPARC/x86

Linux

Any that supports .NET

Data scheme

yes

RDF Schemas

Support Fixed schema and Schema-less deployment with the ability to interoperate between them.

schema-free

pre-defined schema optional

yes

Typing

predefined data types such as float or date

yes

optional

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.

Secondary indexes

yes

SQL

Support of SQL

SQL-like DML and DDL statements

APIs and other access methods

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

RESTful HTTP API

.Net

Supported programming languages

Java

C
C#
Go
Java
JavaScript (Node.js)
Python

.Net

community maintained
Clojure

community maintained
Dart

community maintained
Go

community maintained
Java

community maintained
JavaScript
Perl

community maintained
PHP
Python
Ruby
Rust

community maintained
Swift

community maintained

.Net

Server-side scripts

Stored procedures

yes

Triggers

yes

via event handler

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

Electable source-replica replication per shard. Support distributed global deployment with Multi-region table feature

Multi-source replication using RAFT

MapReduce

Offers an API for user-defined Map/Reduce methods

with Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

depending on configuration

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID

TDB Transactions

configurable

ACID within a storage node (=shard)

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

off heap cache

yes

User concepts

Access control

Access control via Jena Security

Access rights for users and roles

Based on Windows Authentication

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