DBMS > Cachelot.io vs. OushuDB vs. Transwarp ArgoDB

System Properties Comparison Cachelot.io vs. OushuDB vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines

Name

Description

In-memory caching system

A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning

Distributed Analytical Database to replace Hadoop+MPP hybrid architecture

Primary database model

Key-value store

Relational DBMS

Secondary database models

Search engine

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

Score	0.00
Rank	#385	Overall
	#61	Key-value stores

Score	0.05
Rank	#357	Overall
	#151	Relational DBMS

Score	0.04
Rank	#361	Overall
	#153	Relational DBMS

Website

cachelot.io

www.oushu.com/product/oushuDB

www.transwarp.cn/en/product/argodb

Technical documentation

www.oushu.com/documentation

docs.transwarp.cn/#/documents-support/docs?category=ARGODB

Developer

Oushu

Transwarp

Initial release

2015

Current release

4.0.1, August 2020

License

Commercial or Open Source

Open Source

Simplified 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

C++

Server operating systems

FreeBSD
Linux
OS X

Linux

Data scheme

schema-free

yes

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

Full-featured ANSI SQL support

yes

APIs and other access methods

Memcached protocol

JDBC
ODBC

Supported programming languages

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

C
C++

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

yes

Replication methods

Methods for redundantly storing data on multiple nodes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

none

Foreign keys

Referential integrity

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.

User concepts

Access control

Kerberos, SSL and role based access

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