DBMS > Newts vs. SQL.JS vs. YTsaurus

System Properties Comparison Newts vs. SQL.JS vs. YTsaurus

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Editorial information provided by DB-Engines

Name

Description

Time Series DBMS based on Cassandra

Port of SQLite to JavaScript

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

Primary database model

Time Series DBMS

Relational DBMS

Document store
Key-value store

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

Score	0.07
Rank	#375	Overall
	#41	Time Series DBMS

Score	0.63
Rank	#241	Overall
	#112	Relational DBMS

Score	0.21
Rank	#324	Overall
	#45	Document stores
	#48	Key-value stores

Website

opennms.github.io/newts

sql.js.org

ytsaurus.tech

Technical documentation

github.com/OpenNMS/newts/wiki

sql.js.org/documentation/index.html

ytsaurus.tech/docs/en

Developer

OpenNMS Group

Alon Zakai

enhancements implemented by others

Yandex

Initial release

2014

2012

2023

License

Commercial or Open Source

Open Source

Apache 2.0

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

JavaScript

C++

Server operating systems

Linux
OS X
Windows

server-less, requires a JavaScript environment (browser, Node.js)

Ubuntu

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

SQL

Support of SQL

yes

SQL-92 is not fully supported

YQL, an SQL-based language, is supported

APIs and other access methods

HTTP REST
Java API

JavaScript API

Supported programming languages

Java

JavaScript

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on Cassandra

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

based on Cassandra

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

none

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

except by serializing a db to a file

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

Access Control Lists

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More resources

DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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