DBMS > Cachelot.io vs. openGauss vs. Percona Server for MongoDB vs. SWC-DB vs. Yanza

System Properties Comparison Cachelot.io vs. openGauss vs. Percona Server for MongoDB vs. SWC-DB vs. Yanza

Editorial information provided by DB-Engines

Name

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

Description

In-memory caching system

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

A drop-in replacement for MongoDB Community Edition with enterprise-grade features.

A high performance, scalable Wide Column DBMS

Time Series DBMS for IoT Applications

Primary database model

Secondary database models

Document store
Spatial DBMS

Time Series DBMS

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

Score	0.00
Rank	#383	Overall
	#60	Key-value stores

Score	1.08
Rank	#183	Overall
	#84	Relational DBMS

Score	0.52
Rank	#254	Overall
	#39	Document stores

Score	0.01
Rank	#376	Overall
	#13	Wide column stores

Website

cachelot.io

gitee.com/opengauss
opengauss.org

www.percona.com/mongodb/software/percona-server-for-mongodb

github.com/kashirin-alex/swc-db
www.swcdb.org

yanza.com

Technical documentation

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

docs.percona.com/percona-distribution-for-mongodb

Developer

Huawei and openGauss community

Percona

Alex Kashirin

Yanza

Initial release

2015

2019

2015

2020

2015

Current release

3.0, March 2022

3.4.10-2.10, November 2017

0.5, April 2021

License

Commercial or Open Source

Open Source

Simplified BSD License

Open Source

GPL Version 2

Open Source

GPL V3

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++

C, C++, Java

C++

Server operating systems

FreeBSD
Linux
OS X

Linux

Windows

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

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

ANSI SQL 2011

SQL-like query language

APIs and other access methods

Memcached protocol

JDBC
ODBC

proprietary protocol using JSON

Proprietary protocol
Thrift

HTTP API

Supported programming languages

.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby

C
C++
Java

Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk

C++

any language that supports HTTP calls

Server-side scripts

Stored procedures

yes

JavaScript

Triggers

yes

Timer and event based

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning (by range, list and hash)

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

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

via In-Memory Engine

User concepts

Access control

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

Access rights for users and roles

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