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DBMS > AlaSQL vs. FeatureBase vs. RDF4J vs. SQL.JS

System Properties Comparison AlaSQL vs. FeatureBase vs. RDF4J vs. SQL.JS

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.

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
Relational DBMS

Relational DBMS

Relational DBMS

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

Score	0.46
Rank	#260	Overall
	#40	Document stores
	#121	Relational DBMS

Score	0.22
Rank	#309	Overall
	#139	Relational DBMS

Score	0.69
Rank	#230	Overall
	#9	RDF stores

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Website

www.featurebase.com

Technical documentation

github.com/AlaSQL/alasql

docs.featurebase.com

rdf4j.org/documentation

sql.js.org/documentation/index.html

Developer

Andrey Gershun & Mathias R. Wulff

Molecula and Pilosa Open Source Contributors

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

Alon Zakai

enhancements implemented by others

Initial release

2014

2017

2004

2012

Current release

2022, May 2022

License

Commercial or Open Source

Open Source

MIT-License

commercial

Open Source

Eclipse Distribution License (EDL), v1.0.

Open Source

Cloud-based only

Only available as a cloud service

no

no

no

no

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

JavaScript

Go

Java

JavaScript

Server operating systems

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

Linux
macOS

Linux
OS X
Unix
Windows

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

Data scheme

schema-free

yes

yes

RDF Schemas

yes

Typing

predefined data types such as float or date

no

yes

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

no

no

yes

SQL

Support of SQL

Close to SQL99, but no user access control, stored procedures and host language bindings.

SQL queries

no

yes

SQL-92 is not fully supported

APIs and other access methods

JavaScript API

gRPC
JDBC
Kafka Connector
ODBC

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

JavaScript API

Supported programming languages

JavaScript

Java
Python

Java
PHP
Python

JavaScript

Server-side scripts

Stored procedures

no

yes

no

Triggers

yes

no

yes

no

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

none

none

MapReduce

Offers an API for user-defined Map/Reduce methods

no

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

none

none

Foreign keys

Referential integrity

yes

yes

yes

Transaction concepts

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

yes

only for local storage and DOM-storage

yes

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

by using IndexedDB, SQL.JS or proprietary FileStorage

yes, using Linux fsync

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

yes

yes

User concepts

Access control

no

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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