DBMS > AlaSQL vs. OushuDB

System Properties Comparison AlaSQL vs. OushuDB

Please select another system to include it in the comparison.

Our visitors often compare AlaSQL and OushuDB with Postgres-XL.

Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning

Primary database model

Document store
Relational DBMS

Relational DBMS

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

Score	0.36
Rank	#268	Overall
	#41	Document stores
	#122	Relational DBMS

Score	0.00
Rank	#380	Overall
	#156	Relational DBMS

Website

alasql.org

www.oushu.com/product/oushuDB

Technical documentation

github.com/AlaSQL/alasql

www.oushu.com/documentation

Developer

Andrey Gershun & Mathias R. Wulff

Oushu

Initial release

2014

Current release

4.0.1, August 2020

License

Commercial or Open Source

Open Source

MIT-License

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

JavaScript

Server operating systems

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

Linux

Data scheme

schema-free

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.

Secondary indexes

yes

SQL

Support of SQL

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

Full-featured ANSI SQL support

APIs and other access methods

JavaScript API

JDBC
ODBC

Supported programming languages

JavaScript

C
C++

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

yes

Replication methods

Methods for redundantly storing data on multiple nodes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

none

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

only for local storage and DOM-storage

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

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

Kerberos, SSL and role based access

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

HarperDB - How and Why We Built It From The Ground Up on NodeJS
28 February 2021, HackerNoon

Scrape any Website/Service/API with a single SQL Select Statement
18 January 2017, HackerNoon

provided by Google News

Share this page