DBMS > AlaSQL vs. Cubrid vs. Hyprcubd vs. StarRocks

System Properties Comparison AlaSQL vs. Cubrid vs. Hyprcubd vs. StarRocks

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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

CUBRID is an open-source SQL-based relational database management system with object extensions for OLTP

Serverless Time Series DBMS

An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics

Forked from Apache Doris

Primary database model

Document store
Relational DBMS

Relational DBMS

Time Series DBMS

Relational DBMS

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

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

Score	1.20
Rank	#169	Overall
	#78	Relational DBMS

Score	1.04
Rank	#189	Overall
	#88	Relational DBMS

Website

alasql.org

cubrid.com (korean)
cubrid.org (english)

hyprcubd.com (offline)

www.starrocks.io

Technical documentation

github.com/AlaSQL/alasql

cubrid.org/manuals

docs.starrocks.io/en-us/latest/introduction/StarRocks_intro

Developer

Andrey Gershun & Mathias R. Wulff

CUBRID Corporation, CUBRID Foundation

Hyprcubd, Inc.

The Linux Foundation

since Feb 2023

Initial release

2014

2008

2020

Current release

11.0, January 2021

2.5.3, March 2023

License

Commercial or Open Source

Open Source

MIT-License

Open Source

Apache Version 2.0

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

C, C++, Java

C++, Java

Server operating systems

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

Linux
Windows

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.

yes

SQL-like query language

yes

APIs and other access methods

JavaScript API

ADO.NET
JDBC
ODBC
OLE DB

gRPC (https)

JDBC
MySQL protocol

Supported programming languages

JavaScript

C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby

Java

Server-side scripts

Stored procedures

Java Stored Procedures

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning (by range 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

Immediate Consistency

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

fine grained access rights according to SQL-standard

token access

Role based access control and fine grained access rights

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