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DBMS > EJDB vs. OrigoDB vs. Quasardb vs. SQL.JS

System Properties Comparison EJDB vs. OrigoDB vs. Quasardb vs. SQL.JS

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Editorial information provided by DB-Engines

Name

Description

Embeddable document-store database library with JSON representation of queries (in MongoDB style)

A fully ACID in-memory object graph database

Distributed, high-performance timeseries database

Port of SQLite to JavaScript

Primary database model

Document store
Object oriented DBMS

Time Series DBMS

Relational DBMS

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

Score	0.27
Rank	#297	Overall
	#44	Document stores

Score	0.00
Rank	#383	Overall
	#53	Document stores
	#20	Object oriented DBMS

Score	0.14
Rank	#332	Overall
	#29	Time Series DBMS

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Website

github.com/Softmotions/ejdb

Technical documentation

github.com/Softmotions/ejdb/blob/master/README.md

origodb.com/docs

doc.quasar.ai/master

sql.js.org/documentation/index.html

Developer

Softmotions

Robert Friberg et al

quasardb

Alon Zakai

enhancements implemented by others

Initial release

2012

2009

under the name LiveDB

2009

2012

Current release

3.14.1, January 2024

License

Commercial or Open Source

Open Source

GPLv2

Open Source

commercial

Free community edition, Non-profit organizations and non-commercial usage are eligible for free licenses

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#

C++

JavaScript

Server operating systems

server-less

Linux
Windows

BSD
Linux
OS X
Windows

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

string, integer, double, bool, date, object_id

User defined using .NET types and collections

yes

integer and binary

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

can be achieved using .NET

no

no

Secondary indexes

no

yes

yes

with tags

SQL

Support of SQL

no

no

SQL-like query language

yes

SQL-92 is not fully supported

APIs and other access methods

in-process shared library

.NET Client API
HTTP API
LINQ

HTTP API

JavaScript API

Supported programming languages

Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby

.Net

.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R

JavaScript

Server-side scripts

Stored procedures

no

yes

no

no

Triggers

no

yes

Domain Events

no

no

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

client side managed; servers are not synchronized

Sharding

consistent hashing

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication

Source-replica replication with selectable replication factor

none

MapReduce

Offers an API for user-defined Map/Reduce methods

no

no

with Hadoop integration

no

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Foreign keys

Referential integrity

no

typically not needed, however similar functionality with collection joins possible

depending on model

no

yes

Transaction concepts

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

no

ACID

ACID

ACID

Concurrency

Support for concurrent manipulation of data

yes

Read/Write Locking

yes

yes

Durability

Support for making data persistent

yes

yes

Write ahead log

yes

by using LevelDB

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.

yes

yes

Transient mode

yes

User concepts

Access control

no

Role based authorization

Cryptographically strong user authentication and audit trail

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

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