DBMS > PouchDB vs. WakandaDB

System Properties Comparison PouchDB vs. WakandaDB

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS with an API inspired by CouchDB

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

Primary database model

Document store

Object oriented DBMS

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Score	1.94
Rank	#120	Overall
	#21	Document stores

Score	0.03
Rank	#359	Overall
	#17	Object oriented DBMS

Website

pouchdb.com

wakanda.github.io

Technical documentation

pouchdb.com/guides

wakanda.github.io/doc

Developer

Apache Software Foundation

Wakanda SAS

Initial release

2012

Current release

7.1.1, June 2019

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

Open Source

AGPLv3, extended commercial license available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

JavaScript

C++, JavaScript

Server operating systems

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

Linux
OS X
Windows

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

via views

SQL

Support of SQL

APIs and other access methods

HTTP REST

only for PouchDB Server
JavaScript API

RESTful HTTP API

Supported programming languages

JavaScript

Server-side scripts

Stored procedures

View functions in JavaScript

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

with a proxy-based framework, named couchdb-lounge

none

Replication methods

Methods for redundantly storing data on multiple nodes

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

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using IndexedDB, WebSQL or LevelDB as backend

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

yes

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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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Recent citations in the news

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

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

Mobile Web Development
21 April 2014, SitePoint

provided by Google News

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