DBMS > AlaSQL vs. DataFS vs. IBM Db2 warehouse vs. openGemini

System Properties Comparison AlaSQL vs. DataFS vs. IBM Db2 warehouse vs. openGemini

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.

Cloud-based data warehousing service

An open source distributed Time Series DBMS with high concurrency, high performance, and high scalability

Primary database model

Document store
Relational DBMS

Object oriented DBMS

Relational DBMS

Time Series DBMS

Secondary database models

Graph 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	0.09
Rank	#360	Overall
	#17	Object oriented DBMS

Score	1.37
Rank	#160	Overall
	#74	Relational DBMS

Score	0.09
Rank	#361	Overall
	#37	Time Series DBMS

Website

alasql.org

newdatabase.com

www.ibm.com/products/db2/warehouse

www.opengemini.org
github.com/openGemini

Technical documentation

github.com/AlaSQL/alasql

dev.mobiland.com/Overview.xsp

docs.opengemini.org/guide

Developer

Andrey Gershun & Mathias R. Wulff

Mobiland AG

IBM

Huawei and openGemini community

Initial release

2014

2018

2014

2022

Current release

1.1.263, October 2022

1.1, July 2023

License

Commercial or Open Source

Open Source

MIT-License

commercial

Open Source

Apache Version 2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

JavaScript

Server operating systems

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

Windows

hosted

Linux
Windows

Data scheme

schema-free

Classes, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)

yes

schema-free

Typing

predefined data types such as float or date

yes

Integer, Float, Boolean, String

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.

Import/export of XML data possible

Secondary indexes

yes

SQL

Support of SQL

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

yes

SQL-like query language

APIs and other access methods

JavaScript API

.NET Client API
Proprietary client DLL
WinRT client

.NET Client API
JDBC
ODBC
OLE DB

HTTP REST

Supported programming languages

JavaScript

.Net
C
C#
C++
VB.Net

Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby

C
C++
Go
Java
JavaScript (Node.js)
Python
Rust

Server-side scripts

Stored procedures

PL/SQL, SQL PL

Triggers

yes

no, except callback-events from server when changes happened

yes

Partitioning methods

Methods for storing different data on different nodes

none

Proprietary Sharding system

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

only for local storage and DOM-storage

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

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Windows-Profile

fine grained access rights according to SQL-standard

Administrators and common users accounts

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