DBMS > BaseX vs. Transwarp ArgoDB vs. Yaacomo vs. YTsaurus

System Properties Comparison BaseX vs. Transwarp ArgoDB vs. Yaacomo vs. YTsaurus

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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

Light-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.

Distributed Analytical Database to replace Hadoop+MPP hybrid architecture

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

YTsaurus is an open source platform for distributed storage and processing.

Primary database model

Native XML DBMS

Relational DBMS

Document store
Key-value store

Secondary database models

Search engine

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

Score	1.52
Rank	#140	Overall
	#4	Native XML DBMS

Score	0.02
Rank	#367	Overall
	#155	Relational DBMS

Score	0.16
Rank	#320	Overall
	#44	Document stores
	#47	Key-value stores

Website

basex.org

www.transwarp.cn/en/product/argodb

yaacomo.com

ytsaurus.tech

Technical documentation

docs.basex.org

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

ytsaurus.tech/docs/en

Developer

BaseX GmbH

Transwarp

Q2WEB GmbH

Yandex

Initial release

2007

2009

2023

Current release

11.2, August 2024

License

Commercial or Open Source

Open Source

BSD license

commercial

Open Source

Apache License, Version 2.0

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

Java

C++

Server operating systems

Linux
OS X
Windows

Android
Linux
Windows

Ubuntu

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

XQuery supports types

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

yes

YQL, an SQL-based language, is supported

APIs and other access methods

Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ

JDBC
ODBC

Supported programming languages

Actionscript
C
C#
Haskell
Java
JavaScript

Node.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

via events

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

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

multiple readers, single writer

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

Users with fine-grained authorization concept on 4 levels

fine grained access rights according to SQL-standard

Access Control Lists

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