DBMS > AlaSQL vs. Hyprcubd vs. PostGIS

System Properties Comparison AlaSQL vs. Hyprcubd vs. PostGIS

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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

Serverless Time Series DBMS

Spatial extension of PostgreSQL

Primary database model

Document store
Relational DBMS

Time Series DBMS

Spatial DBMS

Secondary database models

Relational DBMS

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

Score	22.69
Rank	#29	Overall
	#1	Spatial DBMS

Website

alasql.org

hyprcubd.com (offline)

postgis.net

Technical documentation

github.com/AlaSQL/alasql

postgis.net/documentation

Developer

Andrey Gershun & Mathias R. Wulff

Hyprcubd, Inc.

Initial release

2014

2005

Current release

3.4.2, February 2024

License

Commercial or Open Source

Open Source

MIT-License

commercial

Open Source

GPL v2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

JavaScript

Server operating systems

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

hosted

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.

yes

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

yes

APIs and other access methods

JavaScript API

gRPC (https)

Supported programming languages

JavaScript

Server-side scripts

Stored procedures

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

yes

based on PostgreSQL

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

based on PostgreSQL

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

yes

based on PostgreSQL

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More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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