DBMS > FoundationDB vs. PouchDB

System Properties Comparison FoundationDB vs. PouchDB

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Editorial information provided by DB-Engines

Name

Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.

Description

Ordered key-value store. Core features are complimented by layers.

JavaScript DBMS with an API inspired by CouchDB

Primary database model

Document store

supported via specific layer
Key-value store
Relational DBMS

supported via specific SQL-layer

Document store

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

Score	0.89
Rank	#197	Overall
	#32	Document stores
	#29	Key-value stores
	#92	Relational DBMS

Score	2.00
Rank	#113	Overall
	#21	Document stores

Website

github.com/apple/foundationdb

pouchdb.com

Technical documentation

apple.github.io/foundationdb

pouchdb.com/guides

Developer

FoundationDB

Apache Software Foundation

Initial release

2013

2012

Current release

6.2.28, November 2020

7.1.1, June 2019

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

C++

JavaScript

Server operating systems

Linux
OS X
Windows

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

Data scheme

schema-free

some layers support schemas

schema-free

Typing

predefined data types such as float or date

some layers support typing

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

supported in specific SQL layer only

APIs and other access methods

HTTP REST

only for PouchDB Server
JavaScript API

Supported programming languages

.Net
C
C++
Go
Java
JavaScript

Node.js
PHP
Python
Ruby
Swift

JavaScript

Server-side scripts

Stored procedures

in SQL-layer only

View functions in JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

with a proxy-based framework, named couchdb-lounge

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication

also with CouchDB databases
Source-replica replication

also with CouchDB databases

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Linearizable consistency

Eventual Consistency

Foreign keys

Referential integrity

in SQL-layer only

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

In-memory capabilities

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

yes

User concepts

Access control

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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

Apple Acquires Durable Database Company FoundationDB
24 March 2015, TechCrunch

FoundationDB Record Layer: A Multi-Tenant Structured Datastore
25 July 2020, Apple Machine Learning Research

FoundationDB team’s new venture, Antithesis, raises $47M to enhance software testing
13 February 2024, SiliconANGLE

IBM Cloudant pulls plan to fund new foundational layer for CouchDB
15 March 2022, theregister.com

FoundationDB, a very interesting NoSQL database owned by Apple, is now an open-source project
19 April 2018, GeekWire

provided by Google News

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

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

Apache CouchDB: The Definitive Introduction
28 August 2014, infoq.com

3 Reasons To Think Offline First
22 March 2017, IBM

Table 1 Approximate time-requirements for critical data-flow processes
31 October 2018, ResearchGate

provided by Google News

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