DBMS > BaseX vs. RRDtool vs. ToroDB vs. YTsaurus

System Properties Comparison BaseX vs. RRDtool vs. ToroDB vs. YTsaurus

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Editorial information provided by DB-Engines

Name

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

Description

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

Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database.

The data is stored in a circular buffer, thus the system storage footprint remains constant over time.

A MongoDB-compatible JSON document store, built on top of PostgreSQL

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

Primary database model

Native XML DBMS

Time Series DBMS

Document store

Document store
Key-value store

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

Score	1.56
Rank	#141	Overall
	#4	Native XML DBMS

Score	1.70
Rank	#136	Overall
	#11	Time Series DBMS

Score	0.15
Rank	#323	Overall
	#44	Document stores
	#47	Key-value stores

Website

basex.org

oss.oetiker.ch/rrdtool

github.com/torodb/server

ytsaurus.tech

Technical documentation

docs.basex.org

oss.oetiker.ch/rrdtool/doc

ytsaurus.tech/docs/en

Developer

BaseX GmbH

Tobias Oetiker

8Kdata

Yandex

Initial release

2007

1999

2016

2023

Current release

11.2, August 2024

1.8.0, 2022

License

Commercial or Open Source

Open Source

BSD license

Open Source

GPL V2 and FLOSS

Open Source

AGPL-V3

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

Implementations in Java (e.g. RRD4J) and C# available

Java

C++

Server operating systems

Linux
OS X
Windows

HP-UX
Linux

All OS with a Java 7 VM

Ubuntu

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

XQuery supports types

Numeric data only

yes

string, integer, double, boolean, date, object_id

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.

Exporting into and restoring from XML files possible

Secondary indexes

yes

SQL

Support of SQL

YQL, an SQL-based language, is supported

APIs and other access methods

Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ

in-process shared library
Pipes

Supported programming languages

Actionscript
C
C#
Haskell
Java
JavaScript

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

with librrd library
C#

with a different implementation of RRDTool
Java

with a different implementation of RRDTool
JavaScript (Node.js)

with a different implementation of RRDTool
Lua
Perl
PHP

with a wrapper library
Python
Ruby

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

via events

Partitioning methods

Methods for storing different data on different nodes

none

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

none

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

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

by using the rrdcached daemon

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

Access rights for users and roles

Access Control Lists

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More resources

DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

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