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DBMS > Amazon DocumentDB vs. JSqlDb vs. RDF4J vs. SQL.JS

System Properties Comparison Amazon DocumentDB vs. JSqlDb vs. RDF4J vs. SQL.JS

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Editorial information provided by DB-Engines

Name

JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.

Description

Fast, scalable, highly available, and fully managed MongoDB-compatible database service

JavaScript Query Language Database, stores JavaScript objects and primitives

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

Port of SQLite to JavaScript

Primary database model

Document store
Object oriented DBMS

Relational DBMS

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

Score	1.91
Rank	#132	Overall
	#24	Document stores

Score	0.69
Rank	#230	Overall
	#9	RDF stores

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Website

aws.amazon.com/documentdb

jsqldb.org (offline)

Technical documentation

aws.amazon.com/documentdb/resources

rdf4j.org/documentation

sql.js.org/documentation/index.html

Developer

Konrad von Backstrom

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

Alon Zakai

enhancements implemented by others

Initial release

2019

2018

2004

2012

Current release

0.8, December 2018

License

Commercial or Open Source

commercial

Open Source

Open Source

Eclipse Distribution License (EDL), v1.0.

Open Source

Cloud-based only

Only available as a cloud service

yes

no

no

no

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

JavaScript

Server operating systems

hosted

Linux
macOS
Windows

Linux
OS X
Unix
Windows

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

Data scheme

schema-free

schema-free

yes

RDF Schemas

yes

Typing

predefined data types such as float or date

yes

no

yes

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.

no

no

no

Secondary indexes

yes

no

yes

SQL

Support of SQL

no

no

no

yes

SQL-92 is not fully supported

APIs and other access methods

proprietary protocol using JSON (MongoDB compatible)

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

JavaScript API

Supported programming languages

Go
Java
JavaScript (Node.js)
PHP
Python

JavaScript

Java
PHP
Python

JavaScript

Server-side scripts

Stored procedures

no

functions in JavaScript

yes

no

Triggers

no

no

yes

no

Partitioning methods

Methods for storing different data on different nodes

none

none

none

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-availability zones for high availability, asynchronous replication for up to 15 read replicas

none

none

none

MapReduce

Offers an API for user-defined Map/Reduce methods

no

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

no

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Foreign keys

Referential integrity

no

typically not used, however similar functionality with DBRef possible

no

yes

Transaction concepts

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

Atomic single-document operations

ACID

Isolation support depends on the API used

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

Durability

Support for making data persistent

yes

yes

using RocksDB

yes

in-memory storage is supported as well

no

except by serializing a db to a file

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 rights for users and roles

no

no

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More resources

DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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