DBMS > AlaSQL vs. JaguarDB vs. Lovefield vs. Microsoft Azure SQL Database vs. OushuDB

System Properties Comparison AlaSQL vs. JaguarDB vs. Lovefield vs. Microsoft Azure SQL Database vs. OushuDB

Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

Performant, highly scalable DBMS for AI and IoT applications

Embeddable relational database for web apps written in pure JavaScript

Database as a Service offering with high compatibility to Microsoft SQL Server

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

Primary database model

Document store
Relational DBMS

Key-value store
Vector DBMS

Relational DBMS

Secondary database models

Document store
Graph DBMS
Spatial DBMS

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

Score	0.41
Rank	#260	Overall
	#40	Document stores
	#121	Relational DBMS

Score	0.03
Rank	#365	Overall
	#56	Key-value stores
	#17	Vector DBMS

Score	0.23
Rank	#299	Overall
	#135	Relational DBMS

Score	76.53
Rank	#16	Overall
	#11	Relational DBMS

Score	0.04
Rank	#358	Overall
	#151	Relational DBMS

Website

alasql.org

www.jaguardb.com

google.github.io/lovefield

azure.microsoft.com/en-us/products/azure-sql/database

www.oushu.com/product/oushuDB

Technical documentation

github.com/AlaSQL/alasql

www.jaguardb.com/support.html

github.com/google/lovefield/blob/master/docs/spec_index.md

docs.microsoft.com/en-us/azure/azure-sql

www.oushu.com/documentation

Developer

Andrey Gershun & Mathias R. Wulff

DataJaguar, Inc.

Google

Microsoft

Oushu

Initial release

2014

2015

2014

2010

Current release

3.3 July 2023

2.1.12, February 2017

V12

4.0.1, August 2020

License

Commercial or Open Source

Open Source

MIT-License

Open Source

GPL V3.0

Open Source

Apache 2.0

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

JavaScript

C++

the server part. Clients available in other languages

JavaScript

C++

Server operating systems

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

Linux

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

tested with Chrome, Firefox, IE, Safari

hosted

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.

yes

Secondary indexes

yes

SQL

Support of SQL

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

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

SQL-like query language

via JavaScript builder pattern

yes

Full-featured ANSI SQL support

APIs and other access methods

JavaScript API

JDBC
ODBC

ADO.NET
JDBC
ODBC

JDBC
ODBC

Supported programming languages

JavaScript

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala

JavaScript

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

C
C++

Server-side scripts

Stored procedures

Transact SQL

yes

Triggers

yes

Using read-only observers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

yes

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication

none

yes, with always 3 replicas available

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

none

Eventual Consistency

Immediate Consistency

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

yes, by using IndexedDB or the cloud service Firebase Realtime Database

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

using MemoryDB

User concepts

Access control

rights management via user accounts

fine grained access rights according to SQL-standard

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

DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

show all

Recent citations in the news

Multi faceted data exploration in the browser using Leaflet and amCharts
3 May 2020, Towards Data Science

Create a Marvel Database with SQL and Javascript, the easy way
2 July 2019, Towards Data Science

provided by Google News

Save money on Microsoft SQL Server licensing with Microsoft Azure Arc
6 November 2024, microsoft.com

Public Preview: New Azure SQL Database skills introduced to Microsoft Copilot in Azure
21 May 2024, Microsoft

Public Preview: Azure SQL updates for late-May 2024
21 May 2024, Microsoft

Announcing the retirement of SQL Server Stretch Database
3 July 2024, microsoft.com

General availability: Azure SQL updates for late-May 2024
21 May 2024, Microsoft

provided by Google News

China's answer to Snowflake is shaping as data demands upgrade
8 September 2021, PingWest

provided by Google News

Share this page