DBMS > AlaSQL vs. Hyprcubd vs. openGauss

System Properties Comparison AlaSQL vs. Hyprcubd vs. openGauss

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Editorial information provided by DB-Engines

Name

Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.

Description

JavaScript DBMS library

An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei

Primary database model

Document store
Relational DBMS

Time Series DBMS

Relational DBMS

Secondary database models

Document store
Spatial DBMS

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Score	0.46
Rank	#260	Overall
	#40	Document stores
	#121	Relational DBMS

Score	1.08
Rank	#183	Overall
	#84	Relational DBMS

Website

alasql.org

hyprcubd.com (offline)

gitee.com/opengauss
opengauss.org

Technical documentation

github.com/AlaSQL/alasql

docs.opengauss.org/en
gitee.com/opengauss/docs

Developer

Andrey Gershun & Mathias R. Wulff

Hyprcubd, Inc.

Huawei and openGauss community

Initial release

2014

2019

Current release

3.0, March 2022

License

Commercial or Open Source

Open Source

MIT-License

commercial

Open Source

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

C, C++, Java

Server operating systems

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

hosted

Linux

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

time, int, uint, float, string

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

SQL

Support of SQL

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

SQL-like query language

ANSI SQL 2011

APIs and other access methods

JavaScript API

gRPC (https)

JDBC
ODBC

Supported programming languages

JavaScript

C
C++
Java

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning (by range, list and hash)

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Eventual Consistency

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

token access

Access rights for users, groups and roles according to SQL-standard

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