Featured Products: Neo4j Milvus Ontotext SingleStore Datastax Astra

DBMS > FatDB vs. Postgres-XL vs. PouchDB vs. SQL.JS

System Properties Comparison FatDB vs. Postgres-XL vs. PouchDB vs. SQL.JS

Please select another system to include it in the comparison.

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

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

Based on PostgreSQL enhanced with MPP and write-scale-out cluster features

JavaScript DBMS with an API inspired by CouchDB

Port of SQLite to JavaScript

Primary database model

Document store
Key-value store

Relational DBMS

Relational DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	0.52
Rank	#256	Overall
	#117	Relational DBMS

Score	2.35
Rank	#116	Overall
	#22	Document stores

Score	0.57
Rank	#248	Overall
	#114	Relational DBMS

Website

www.postgres-xl.org

Technical documentation

www.postgres-xl.org/documentation

pouchdb.com/guides

sql.js.org/documentation/index.html

Developer

FatCloud

Apache Software Foundation

Alon Zakai

enhancements implemented by others

Initial release

2012

2014

since 2012, originally named StormDB

2012

2012

Current release

10 R1, October 2018

7.1.1, June 2019

License

Commercial or Open Source

commercial

Open Source

Mozilla public license

Open Source

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

C#

C

JavaScript

JavaScript

Server operating systems

Windows

Linux
macOS

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

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

Data scheme

schema-free

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

yes

no

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

XML type, but no XML query functionality

no

no

Secondary indexes

yes

yes

yes

via views

SQL

Support of SQL

no

Via inetgration in SQL Server

yes

distributed, parallel query execution

no

yes

SQL-92 is not fully supported

APIs and other access methods

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

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

HTTP REST

only for PouchDB Server
JavaScript API

JavaScript API

Supported programming languages

C#

.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl

JavaScript

JavaScript

Server-side scripts

Stored procedures

yes

via applications

user defined functions

View functions in JavaScript

no

Triggers

yes

via applications

yes

yes

no

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

Sharding

with a proxy-based framework, named couchdb-lounge

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Multi-source replication

also with CouchDB databases
Source-replica replication

also with CouchDB databases

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

no

yes

no

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

Immediate Consistency

Eventual Consistency

none

Foreign keys

Referential integrity

no

yes

no

yes

Transaction concepts

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

no

ACID

MVCC

no

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

Durability

Support for making data persistent

yes

yes

yes

by using IndexedDB, WebSQL or LevelDB as backend

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.

no

yes

yes

User concepts

Access control

no

Can implement custom security layer via applications

fine grained access rights according to SQL-standard

no

no

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

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

Recent citations in the news

Building an Offline First App with PouchDB — SitePoint
10 March 2014, SitePoint

Getting Started with PouchDB Client-Side JavaScript Database — SitePoint
7 September 2016, SitePoint

3 Reasons To Think Offline First
22 March 2017, IBM

Create Offline Web Apps Using Service Workers & PouchDB — SitePoint
7 March 2017, SitePoint

Offline-first web and mobile apps: Top frameworks and components
22 January 2019, TechBeacon

provided by Google News

9 Best JavaScript and TypeScript ORMs for 2024 — SitePoint
22 March 2023, SitePoint

Execute millions of SQL statements in milliseconds in the browser with WebAssembly and Web Workers.
14 January 2017, hackernoon.com

SQLite On The Web: Absurd-sql
24 August 2021, Hackaday

Running PostgreSQL Inside Your Browser
8 September 2022, iProgrammer

LokiJS - A JavaScript Database
18 November 2014, iProgrammer

provided by Google News

Share this page

Featured Products

Present your product here