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DBMS > FoundationDB vs. JaguarDB vs. Riak KV vs. SQL.JS

System Properties Comparison FoundationDB vs. JaguarDB vs. Riak KV vs. SQL.JS

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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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.

Performant, highly scalable DBMS for AI and IoT applications

Distributed, fault tolerant key-value store

Port of SQLite to JavaScript

Primary database model

supported via specific layer
Key-value store
Relational DBMS

supported via specific SQL-layer

Key-value store
Vector DBMS

Key-value store

with links between data sets and object tags for the creation of secondary indexes

Relational DBMS

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

Score	1.06
Rank	#185	Overall
	#31	Document stores
	#28	Key-value stores
	#85	Relational DBMS

Score	0.06
Rank	#381	Overall
	#59	Key-value stores
	#13	Vector DBMS

Score	4.01
Rank	#79	Overall
	#9	Key-value stores

Score	0.63
Rank	#241	Overall
	#112	Relational DBMS

Website

github.com/apple/foundationdb

www.jaguardb.com

Technical documentation

apple.github.io/foundationdb

www.jaguardb.com/support.html

www.tiot.jp/riak-docs/riak/kv/latest

sql.js.org/documentation/index.html

Developer

FoundationDB

DataJaguar, Inc.

OpenSource, formerly Basho Technologies

Alon Zakai

enhancements implemented by others

Initial release

2013

2015

2009

2012

Current release

6.2.28, November 2020

3.3 July 2023

3.2.0, December 2022

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

GPL V3.0

Open Source

Apache version 2, commercial enterprise edition

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++

the server part. Clients available in other languages

Erlang

JavaScript

Server operating systems

Linux
OS X
Windows

Linux

Linux
OS X

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

Data scheme

schema-free

some layers support schemas

yes

schema-free

yes

Typing

predefined data types such as float or date

no

some layers support typing

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.

no

no

no

Secondary indexes

no

yes

restricted

SQL

Support of SQL

supported in specific SQL layer only

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

no

yes

SQL-92 is not fully supported

APIs and other access methods

JDBC
ODBC

HTTP API
Native Erlang Interface

JavaScript API

Supported programming languages

.Net
C
C++
Go
Java
JavaScript

Node.js
PHP
Python
Ruby
Swift

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

C

unofficial client library
C#
C++

unofficial client library
Clojure

unofficial client library
Dart

unofficial client library
Erlang
Go

unofficial client library
Groovy

unofficial client library
Haskell

unofficial client library
Java
JavaScript

unofficial client library
Lisp

unofficial client library
Perl

unofficial client library
PHP
Python
Ruby
Scala

unofficial client library
Smalltalk

unofficial client library

JavaScript

Server-side scripts

Stored procedures

in SQL-layer only

no

Erlang

no

Triggers

no

no

yes

pre-commit hooks and post-commit hooks

no

Partitioning methods

Methods for storing different data on different nodes

Sharding

Sharding

Sharding

no "single point of failure"

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication

selectable replication factor

none

MapReduce

Offers an API for user-defined Map/Reduce methods

no

no

yes

no

Consistency concepts

Methods to ensure consistency in a distributed system

Linearizable consistency

Eventual Consistency

Eventual Consistency

none

Foreign keys

Referential integrity

in SQL-layer only

no

no

links between data sets can be stored

yes

Transaction concepts

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

ACID

no

no

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

yes

Durability

Support for making data persistent

yes

yes

yes

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

User concepts

Access control

no

rights management via user accounts

yes, using Riak Security

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

Recent citations in the news

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