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DBMS > AlaSQL vs. FatDB vs. Graph Engine vs. SQL.JS

System Properties Comparison AlaSQL vs. FatDB vs. Graph Engine vs. SQL.JS

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Editorial information provided by DB-Engines

Name

FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.

Description

JavaScript DBMS library

A .NET NoSQL DBMS that can integrate with and extend SQL Server.

A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine

Port of SQLite to JavaScript

Primary database model

Document store
Relational DBMS

Document store
Key-value store

Graph DBMS
Key-value store

Relational 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	0.62
Rank	#240	Overall
	#21	Graph DBMS
	#35	Key-value stores

Score	0.57
Rank	#248	Overall
	#114	Relational DBMS

Website

www.graphengine.io

Technical documentation

github.com/AlaSQL/alasql

www.graphengine.io/docs/manual

sql.js.org/documentation/index.html

Developer

Andrey Gershun & Mathias R. Wulff

FatCloud

Microsoft

Alon Zakai

enhancements implemented by others

Initial release

2014

2012

2010

2012

License

Commercial or Open Source

Open Source

MIT-License

commercial

Open Source

MIT License

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

C#

.NET and C

JavaScript

Server operating systems

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

Windows

.NET

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

Data scheme

schema-free

schema-free

yes

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

yes

SQL

Support of SQL

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

no

Via inetgration in SQL Server

no

yes

SQL-92 is not fully supported

APIs and other access methods

JavaScript API

.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings

RESTful HTTP API

JavaScript API

Supported programming languages

JavaScript

C#

C#
C++
F#
Visual Basic

JavaScript

Server-side scripts

Stored procedures

no

yes

via applications

yes

no

Triggers

yes

yes

via applications

no

no

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

selectable replication factor

none

MapReduce

Offers an API for user-defined Map/Reduce methods

no

yes

no

Consistency concepts

Methods to ensure consistency in a distributed system

none

Eventual Consistency
Immediate Consistency

none

Foreign keys

Referential integrity

yes

no

no

yes

Transaction concepts

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

yes

only for local storage and DOM-storage

no

no

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

optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage

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

Can implement custom security layer via applications

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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