DBMS > Altibase vs. Transwarp ArgoDB vs. Yaacomo

System Properties Comparison Altibase vs. Transwarp ArgoDB vs. Yaacomo

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Editorial information provided by DB-Engines

Name

Yaacomo seems to be discontinued and is removed from the DB-Engines ranking

Description

An enterprise grade, high-performance RDBMS

Distributed Analytical Database to replace Hadoop+MPP hybrid architecture

OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing

Primary database model

Relational DBMS

Secondary database models

Search engine

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

Score	0.85
Rank	#204	Overall
	#94	Relational DBMS

Score	0.00
Rank	#385	Overall
	#157	Relational DBMS

Website

altibase.com

www.transwarp.cn/en/product/argodb

yaacomo.com

Technical documentation

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

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

Developer

Altibase

Transwarp

Q2WEB GmbH

Initial release

1999

2009

Current release

v7.3, 2023, August 2023

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

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

AIX
HP-UX
Linux

Android
Linux
Windows

Data scheme

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

ANSI SQL-92

yes

APIs and other access methods

JDBC
ODBC
Proprietary protocol

JDBC
ODBC

Supported programming languages

C
C++
Java

Server-side scripts

Stored procedures

stored procedures and stored functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

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

User concepts

Access control

fine grained access rights according to SQL-standard

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More resources

Recent citations in the news

Altibase is Adopted for Presence Service to Provide User Information and Online Presence
8 April 2019, PR Newswire

Altibase Introduces Online Resharding Which Allows for Non-Stop Data Redistribution and High Performing Scale-Out
7 October 2019, PR Newswire

South Korean company to provide database solution to Mobicom
10 April 2020, News.MN

Altibase Enables a Mega Telco to Have Big Data at Its Fingertips Through Its Cutting-Edge Scale-Out Technology, Sharding
17 September 2018, PR Newswire

provided by Google News

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