DBMS > Altibase vs. Databend vs. mSQL vs. STSdb vs. Yanza

System Properties Comparison Altibase vs. Databend vs. mSQL vs. STSdb vs. Yanza

Editorial information provided by DB-Engines

Name

Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

An enterprise grade, high-performance RDBMS

An open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexity

mSQL (Mini SQL) is a simple and lightweight RDBMS

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

Time Series DBMS for IoT Applications

Primary database model

Relational DBMS

Key-value store

Time Series DBMS

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

Score	1.02
Rank	#189	Overall
	#88	Relational DBMS

Score	0.34
Rank	#283	Overall
	#130	Relational DBMS

Score	1.27
Rank	#169	Overall
	#76	Relational DBMS

Score	0.10
Rank	#357	Overall
	#51	Key-value stores

Website

altibase.com

github.com/datafuselabs/databend
www.databend.com

hughestech.com.au/products/msql

github.com/STSSoft/STSdb4

yanza.com

Technical documentation

github.com/ALTIBASE/Documents/tree/master/Manuals

docs.databend.com

Developer

Altibase

Databend Labs

Hughes Technologies

STS Soft SC

Yanza

Initial release

1999

2021

1994

2011

2015

Current release

v7.3, 2023, August 2023

1.0.59, April 2023

4.4, October 2021

4.0.8, September 2015

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

Open Source

Apache Version 2.0

commercial

free licenses can be provided

Open Source

GPLv2, commercial license available

commercial

free version available

Cloud-based only

Only available as a cloud service

but mainly used as a service provided by Yanza

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++

Rust

Server operating systems

AIX
HP-UX
Linux

hosted
Linux
macOS

AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows

Windows

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

primitive types and user defined types (classes)

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

ANSI SQL-92

yes

A subset of ANSI SQL is implemented

no subqueries, aggregate functions, views, foreign keys, triggers

APIs and other access methods

JDBC
ODBC
Proprietary protocol

CLI Client
JDBC
RESTful HTTP API

JDBC
ODBC

.NET Client API

HTTP API

Supported programming languages

C
C++
Java

Go
Java
JavaScript (Node.js)
Python
Rust

C
C++
Delphi
Java
Perl
PHP
Tcl

C#
Java

any language that supports HTTP calls

Server-side scripts

Stored procedures

stored procedures and stored functions

Triggers

yes

Timer and event based

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

yes

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

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

Users with fine-grained authorization concept, user roles

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