DBMS > Apache Jena - TDB vs. Cassandra vs. H2GIS vs. LokiJS vs. Microsoft Azure Table Storage

System Properties Comparison Apache Jena - TDB vs. Cassandra vs. H2GIS vs. LokiJS vs. Microsoft Azure Table Storage

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

Wide-column store based on ideas of BigTable and DynamoDB

Optimized for write access

Spatial extension of H2

In-memory JavaScript DBMS

A Wide Column Store for rapid development using massive semi-structured datasets

Primary database model

Secondary database models

Vector DBMS

starting with release V5

Relational DBMS

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

Score	3.62
Rank	#83	Overall
	#3	RDF stores

Score	98.83
Rank	#12	Overall
	#1	Wide column stores

Score	0.08
Rank	#368	Overall
	#7	Spatial DBMS

Score	0.49
Rank	#260	Overall
	#42	Document stores

Score	4.04
Rank	#77	Overall
	#6	Wide column stores

Website

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

cassandra.apache.org

www.h2gis.org

github.com/techfort/LokiJS

azure.microsoft.com/en-us/services/storage/tables

Technical documentation

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

cassandra.apache.org/doc/latest

www.h2gis.org/docs/home

techfort.github.io/LokiJS

Developer

Apache Software Foundation

originally developed by HP Labs

Apache Software Foundation

Apache top level project, originally developped by Facebook

CNRS

Microsoft

Initial release

2000

2008

2013

2014

2012

Current release

4.9.0, July 2023

4.1.3, July 2023

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

Open Source

Apache version 2

Open Source

LGPL 3.0

Open Source

commercial

Cloud-based only

Only available as a cloud service

yes

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Database as a Service

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Implementation language

Java

JavaScript

Server operating systems

All OS with a Java VM

BSD
Linux
OS X
Windows

server-less, requires a JavaScript environment (browser, Node.js)

hosted

Data scheme

yes

RDF Schemas

schema-free

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.

Secondary indexes

yes

restricted

only equality queries, not always the best performing solution

yes

via views

SQL

Support of SQL

SQL-like SELECT, DML and DDL statements (CQL)

yes

APIs and other access methods

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

Proprietary protocol

CQL (Cassandra Query Language, an SQL-like language)
Thrift

JavaScript API

RESTful HTTP API

Supported programming languages

Java

C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript

Node.js
Perl
PHP
Python
Ruby
Scala

Java

JavaScript

.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby

Server-side scripts

Stored procedures

yes

based on H2

View functions in JavaScript

Triggers

yes

via event handler

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

no "single point of failure"

none

Sharding

Implicit feature of the cloud service

Replication methods

Methods for redundantly storing data on multiple nodes

none

selectable replication factor

Representation of geographical distribution of servers is possible

yes

based on H2

none

yes

implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

can be individually decided for each write operation

Immediate Consistency

none

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

TDB Transactions

Atomicity and isolation are supported for single operations

ACID

atomic operations within a single collection possible

optimistic locking

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

Serialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.

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

Access rights for users can be defined per object

yes

based on H2

Access rights based on private key authentication or shared access signatures

More information provided by the system vendor

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