DBMS > AlaSQL vs. LokiJS vs. MaxDB vs. Netezza vs. OrigoDB

System Properties Comparison AlaSQL vs. LokiJS vs. MaxDB vs. Netezza vs. OrigoDB

Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

In-memory JavaScript DBMS

A robust and reliable RDBMS optimized to run all major SAP solutions

Data warehouse and analytics appliance part of IBM PureSystems

A fully ACID in-memory object graph database

Primary database model

Document store
Relational DBMS

Document store

Relational DBMS

Document store
Object oriented DBMS

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

Score	0.51
Rank	#256	Overall
	#40	Document stores
	#118	Relational DBMS

Score	0.49
Rank	#260	Overall
	#42	Document stores

Score	2.26
Rank	#114	Overall
	#55	Relational DBMS

Score	8.59
Rank	#45	Overall
	#29	Relational DBMS

Score	0.06
Rank	#380	Overall
	#50	Document stores
	#18	Object oriented DBMS

Website

alasql.org

github.com/techfort/LokiJS

maxdb.sap.com

www.ibm.com/products/netezza

origodb.com

Technical documentation

github.com/AlaSQL/alasql

techfort.github.io/LokiJS

maxdb.sap.com/documentation

origodb.com/docs

Developer

Andrey Gershun & Mathias R. Wulff

SAP, acquired from Software AG (Adabas-D) in 1997

IBM

Robert Friberg et al

Initial release

2014

1984

2000

2009

under the name LiveDB

Current release

7.9.10.12, February 2024

License

Commercial or Open Source

Open Source

MIT-License

Open Source

commercial

Limited community edition free

commercial

Open Source

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

JavaScript

C++

Server operating systems

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

AIX
HP-UX
Linux
Solaris
Windows

Linux

included in appliance

Linux
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

User defined using .NET types and collections

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.

can be achieved using .NET

Secondary indexes

yes

via views

yes

SQL

Support of SQL

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

yes

APIs and other access methods

JavaScript API

ADO.NET
JDBC
ODBC
WebDAV

JDBC
ODBC
OLE DB

.NET Client API
HTTP API
LINQ

Supported programming languages

JavaScript

.Net
C#
Java
Perl
PHP
Python

C
C++
Fortran
Java
Lua
Perl
Python
R

.Net

Server-side scripts

Stored procedures

View functions in JavaScript

yes

Triggers

yes

Domain Events

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

horizontal partitioning

client side managed; servers are not synchronized

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

yes

depending on model

Transaction concepts

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

yes

only for local storage and DOM-storage

atomic operations within a single collection possible

ACID

Concurrency

Support for concurrent manipulation of data

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

Write ahead log

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

Users with fine-grained authorization concept

Role based authorization

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More resources

DB-Engines blog posts

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