DBMS > AlaSQL vs. IBM Cloudant vs. JaguarDB vs. VelocityDB

System Properties Comparison AlaSQL vs. IBM Cloudant vs. JaguarDB vs. VelocityDB

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

Database as a Service offering based on Apache CouchDB

Performant, highly scalable DBMS for AI and IoT applications

A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)

Primary database model

Document store
Relational DBMS

Document store

Key-value store
Vector DBMS

Graph DBMS
Object oriented DBMS

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

Score	0.49
Rank	#259	Overall
	#40	Document stores
	#120	Relational DBMS

Score	2.73
Rank	#108	Overall
	#20	Document stores

Score	0.09
Rank	#356	Overall
	#53	Key-value stores
	#13	Vector DBMS

Score	0.11
Rank	#347	Overall
	#35	Graph DBMS
	#15	Object oriented DBMS

Website

alasql.org

www.ibm.com/products/cloudant

www.jaguardb.com

velocitydb.com

Technical documentation

github.com/AlaSQL/alasql

cloud.ibm.com/docs/Cloudant

www.jaguardb.com/support.html

velocitydb.com/UserGuide

Developer

Andrey Gershun & Mathias R. Wulff

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

DataJaguar, Inc.

VelocityDB Inc

Initial release

2014

2010

2015

2011

Current release

3.3 July 2023

7.x

License

Commercial or Open Source

Open Source

MIT-License

commercial

Open Source

GPL V3.0

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

Erlang

C++

the server part. Clients available in other languages

Server operating systems

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

hosted

Linux

Any that supports .NET

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.

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

APIs and other access methods

JavaScript API

RESTful HTTP/JSON API

JDBC
ODBC

.Net

Supported programming languages

JavaScript

C#
Java
JavaScript
Objective-C
PHP
Ruby

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

.Net

Server-side scripts

Stored procedures

View functions (Map-Reduce) in JavaScript

Triggers

yes

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication
Source-replica replication

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

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

atomic operations within a document possible

ACID

Concurrency

Support for concurrent manipulation of data

yes

Optimistic locking

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

Access rights for users can be defined per database

rights management via user accounts

Based on Windows Authentication

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