DBMS > AlaSQL vs. Axibase vs. HyperSQL vs. Kingbase vs. searchxml

System Properties Comparison AlaSQL vs. Axibase vs. HyperSQL vs. Kingbase vs. searchxml

Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

Scalable TimeSeries DBMS based on HBase with integrated rule engine and visualization

Multithreaded, transactional RDBMS written in Java

also known as HSQLDB

An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.

DBMS for structured and unstructured content wrapped with an application server

Primary database model

Document store
Relational DBMS

Time Series DBMS

Relational DBMS

Native XML DBMS
Search engine

Secondary database models

Document store
Spatial 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	0.29
Rank	#292	Overall
	#25	Time Series DBMS

Score	3.49
Rank	#87	Overall
	#47	Relational DBMS

Score	0.45
Rank	#262	Overall
	#123	Relational DBMS

Score	0.00
Rank	#383	Overall
	#7	Native XML DBMS
	#25	Search engines

Website

alasql.org

axibase.com/docs/atsd/finance

hsqldb.org

www.kingbase.com.cn

www.searchxml.net/category/products

Technical documentation

github.com/AlaSQL/alasql

hsqldb.org/web/hsqlDocsFrame.html

www.searchxml.net/support/handouts

Developer

Andrey Gershun & Mathias R. Wulff

Axibase Corporation

BeiJing KINGBASE Information technologies inc.

informationpartners gmbh

Initial release

2014

2013

2001

1999

2015

Current release

15585

2.7.2, June 2023

V8.0, August 2021

1.0

License

Commercial or Open Source

Open Source

MIT-License

commercial

Community Edition (single node) is free, Enterprise Edition (distributed) is paid

Open Source

based on BSD license

commercial

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

Java

C and Java

C++

Server operating systems

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

Linux

All OS with a Java VM

Embedded (into Java applications) and Client-Server operating modes

Linux
Windows

Windows

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

short, integer, long, float, double, decimal, 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

Standard with numerous extensions

APIs and other access methods

JavaScript API

JDBC
Proprietary protocol (Network API)
RESTful HTTP API

HTTP API

JDBC via HTTP
JDBC
ODBC

ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT

RESTful HTTP API
WebDAV
XQuery
XSLT

Supported programming languages

JavaScript

Go
Java
PHP
Python
R
Ruby

All languages supporting JDBC/ODBC
Java

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

C++

most other programming languages supported via APIs

Server-side scripts

Stored procedures

yes

Java, SQL

user defined functions

yes

on the application server

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

horizontal partitioning (by range, list and hash) and vertical partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication

none

yes

sychronisation to multiple collections

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

Transaction concepts

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

yes

only for local storage and DOM-storage

ACID

multiple readers, single writer

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

Domain, group and role-based access control at the document level and for application services

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