DBMS > AlaSQL vs. ArangoDB vs. EJDB vs. LokiJS vs. Yanza

System Properties Comparison AlaSQL vs. ArangoDB vs. EJDB vs. LokiJS vs. Yanza

Editorial information provided by DB-Engines

Name

Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

JavaScript DBMS library

Native multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.

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

In-memory JavaScript DBMS

Time Series DBMS for IoT Applications

Primary database model

Document store
Relational DBMS

Document store
Graph DBMS
Key-value store
Search engine

Document store

Time Series DBMS

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

Score	0.49
Rank	#259	Overall
	#40	Document stores
	#120	Relational DBMS

Score	3.77
Rank	#87	Overall
	#15	Document stores
	#5	Graph DBMS
	#12	Key-value stores
	#10	Search engines

Score	0.30
Rank	#294	Overall
	#44	Document stores

Score	0.48
Rank	#262	Overall
	#42	Document stores

Website

alasql.org

arangodb.com

github.com/Softmotions/ejdb

github.com/techfort/LokiJS

yanza.com

Technical documentation

github.com/AlaSQL/alasql

docs.arangodb.com

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

techfort.github.io/LokiJS

Social network pages

Developer

Andrey Gershun & Mathias R. Wulff

ArangoDB Inc.

Softmotions

Yanza

Initial release

2014

2012

2014

2015

Current release

3.11.5, November 2023

License

Commercial or Open Source

Open Source

MIT-License

Open Source

Apache Version 2; Commercial license (Enterprise) available

Open Source

GPLv2

Open Source

commercial

free version available

Cloud-based only

Only available as a cloud service

but mainly used as a service provided by Yanza

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

ArangoDB Cloud –The Managed Cloud Service of ArangoDB. Provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.

Implementation language

JavaScript

C++

JavaScript

Server operating systems

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

Linux
OS X
Windows

server-less

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

Windows

Data scheme

schema-free

automatically recognizes schema within a collection

schema-free

Typing

predefined data types such as float or date

yes

string, double, boolean, list, hash

yes

string, integer, double, bool, date, object_id

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

Close to SQL99, but no user access control, stored procedures and host language bindings.

APIs and other access methods

JavaScript API

AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream

in-process shared library

JavaScript API

HTTP API

Supported programming languages

JavaScript

C#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust

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

JavaScript

any language that supports HTTP calls

Server-side scripts

Stored procedures

JavaScript

View functions in JavaScript

Triggers

yes

Timer and event based

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

since version 2.0

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication with configurable replication factor

none

MapReduce

Offers an API for user-defined Map/Reduce methods

can be done with stored procedures in JavaScript

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Eventual Consistency

configurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)

none

Immediate Consistency

Foreign keys

Referential integrity

yes

relationships in graphs

typically not needed, however similar functionality with collection joins possible

Transaction concepts

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

yes

only for local storage and DOM-storage

ACID

atomic operations within a single collection possible

Concurrency

Support for concurrent manipulation of data

yes

Read/Write Locking

yes

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

yes

Serialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.

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

More information provided by the system vendor

Specific characteristics

Graph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more

Competitive advantages

Consolidation: As a native multi-model database, can be used as a full blown document...
» more

Typical application scenarios

Native multi-model in ArangoDB is being used for a broad range of projects across...
» more

Key customers

Cisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more

Market metrics

ArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more

Licensing and pricing models

Very permissive Apache 2 License for Community Edition & commercial licenses are...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources

DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
29 August 2017, Luca Olivari (guest author)

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New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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