DBMS > EsgynDB vs. LokiJS vs. VelocityDB vs. WakandaDB

System Properties Comparison EsgynDB vs. LokiJS vs. VelocityDB vs. WakandaDB

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Editorial information provided by DB-Engines

Name

Description

Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion

In-memory JavaScript DBMS

A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

Primary database model

Relational DBMS

Document store

Graph DBMS
Object oriented DBMS

Object oriented DBMS

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

Score	0.25
Rank	#312	Overall
	#138	Relational DBMS

Score	0.49
Rank	#260	Overall
	#42	Document stores

Score	0.11
Rank	#354	Overall
	#37	Graph DBMS
	#15	Object oriented DBMS

Score	0.10
Rank	#356	Overall
	#16	Object oriented DBMS

Website

www.esgyn.cn

github.com/techfort/LokiJS

velocitydb.com

wakanda.github.io

Technical documentation

techfort.github.io/LokiJS

velocitydb.com/UserGuide

wakanda.github.io/doc

Developer

Esgyn

VelocityDB Inc

Wakanda SAS

Initial release

2015

2014

2011

2012

Current release

7.x

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

commercial

Open Source

commercial

Open Source

AGPLv3, extended commercial license available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++, Java

JavaScript

C++, JavaScript

Server operating systems

Linux

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

Any that supports .NET

Linux
OS X
Windows

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

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.

Secondary indexes

yes

via views

yes

SQL

Support of SQL

yes

APIs and other access methods

ADO.NET
JDBC
ODBC

JavaScript API

.Net

RESTful HTTP API

Supported programming languages

All languages supporting JDBC/ODBC/ADO.Net

JavaScript

.Net

JavaScript

Server-side scripts

Stored procedures

Java Stored Procedures

View functions in JavaScript

yes

Triggers

yes

Callbacks are triggered when data changes

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication between multi datacenters

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

atomic operations within a single collection possible

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

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

fine grained access rights according to SQL-standard

Based on Windows Authentication

yes

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More resources

DB-Engines blog posts

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1 December 2014, Matthias Gelbmann