DBMS > OushuDB vs. RocksDB vs. Transwarp ArgoDB

System Properties Comparison OushuDB vs. RocksDB vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines

Name

Description

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

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

Distributed Analytical Database to replace Hadoop+MPP hybrid architecture

Primary database model

Relational DBMS

Key-value store

Relational DBMS

Secondary database models

Search engine

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

Score	0.05
Rank	#357	Overall
	#151	Relational DBMS

Score	2.84
Rank	#97	Overall
	#16	Key-value stores

Score	0.04
Rank	#361	Overall
	#153	Relational DBMS

Website

www.oushu.com/product/oushuDB

rocksdb.org

www.transwarp.cn/en/product/argodb

Technical documentation

www.oushu.com/documentation

github.com/facebook/rocksdb/wiki

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

Developer

Oushu

Facebook, Inc.

Transwarp

Initial release

2013

Current release

4.0.1, August 2020

9.4.0, June 2024

License

Commercial or Open Source

commercial

Open Source

BSD

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

Linux

Data scheme

yes

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

JDBC
ODBC

C++ API
Java API

Supported programming languages

C
C++

C
C++
Go
Java
Perl
Python
Ruby

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

yes

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Foreign keys

Referential integrity

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

Kerberos, SSL and role based access

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