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DBMS > FoundationDB vs. NSDb vs. Postgres-XL vs. SQL.JS

System Properties Comparison FoundationDB vs. NSDb vs. Postgres-XL 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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.

Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes

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

Port of SQLite to JavaScript

Primary database model

supported via specific layer
Key-value store
Relational DBMS

supported via specific SQL-layer

Time Series DBMS

Relational DBMS

Relational DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	1.03
Rank	#190	Overall
	#31	Document stores
	#28	Key-value stores
	#89	Relational DBMS

Score	0.00
Rank	#383	Overall
	#41	Time Series DBMS

Score	0.49
Rank	#256	Overall
	#117	Relational DBMS

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Website

github.com/apple/foundationdb

www.postgres-xl.org

Technical documentation

apple.github.io/foundationdb

nsdb.io/Architecture

www.postgres-xl.org/documentation

sql.js.org/documentation/index.html

Developer

FoundationDB

Alon Zakai

enhancements implemented by others

Initial release

2013

2017

2014

since 2012, originally named StormDB

2012

Current release

6.2.28, November 2020

10 R1, October 2018

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

Apache Version 2.0

Open Source

Mozilla public 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

C++

Java, Scala

C

JavaScript

Server operating systems

Linux
OS X
Windows

Linux
macOS

Linux
macOS

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

Data scheme

schema-free

some layers support schemas

yes

yes

Typing

predefined data types such as float or date

no

some layers support typing

yes: int, bigint, decimal, string

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

yes

XML type, but no XML query functionality

no

Secondary indexes

no

all fields are automatically indexed

yes

SQL

Support of SQL

supported in specific SQL layer only

SQL-like query language

yes

distributed, parallel query execution

yes

SQL-92 is not fully supported

APIs and other access methods

gRPC
HTTP REST
WebSocket

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

JavaScript API

Supported programming languages

.Net
C
C++
Go
Java
JavaScript

Node.js
PHP
Python
Ruby
Swift

Java
Scala

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

JavaScript

Server-side scripts

Stored procedures

in SQL-layer only

no

user defined functions

no

Triggers

no

yes

no

Partitioning methods

Methods for storing different data on different nodes

Sharding

Sharding

horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

no

no

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

Linearizable consistency

Eventual Consistency

Immediate Consistency

none

Foreign keys

Referential integrity

in SQL-layer only

no

yes

yes

Transaction concepts

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

ACID

no

ACID

MVCC

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

yes

Durability

Support for making data persistent

yes

Using Apache Lucene

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

fine grained access rights according to SQL-standard

no

More information provided by the system vendor

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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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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