DBMS > OpenTenBase vs. Quasardb vs. SiteWhere vs. YTsaurus

System Properties Comparison OpenTenBase vs. Quasardb vs. SiteWhere vs. YTsaurus

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Editorial information provided by DB-Engines

Name

Description

An enterprise-level distributed HTAP open source database based on PostgreSQL

Distributed, high-performance timeseries database

M2M integration platform for persisting/querying time series data

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

Primary database model

Relational DBMS

Time Series DBMS

Document store
Key-value store

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

Score	0.08
Rank	#370	Overall
	#156	Relational DBMS

Score	0.21
Rank	#322	Overall
	#29	Time Series DBMS

Score	0.06
Rank	#383	Overall
	#43	Time Series DBMS

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

Website

github.com/OpenTenBase/OpenTenBase
www.opentenbase.org

quasar.ai

github.com/sitewhere/sitewhere

ytsaurus.tech

Technical documentation

docs.opentenbase.org
docs.opentenbase.org/en

doc.quasar.ai/master

sitewhere1.sitewhere.io/index.html

ytsaurus.tech/docs/en

Developer

OpenAtom Foundation, previously Tencent

quasardb

SiteWhere

Yandex

Initial release

2009

2010

2023

Current release

2.5, January 2024

3.14.1, January 2024

License

Commercial or Open Source

Open Source

BSD-3

commercial

Free community edition, Non-profit organizations and non-commercial usage are eligible for free licenses

Open Source

Common Public Attribution License Version 1.0

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

C++

Java

C++

Server operating systems

Linux

BSD
Linux
OS X
Windows

Linux
OS X
Windows

Ubuntu

Data scheme

yes

schema-free

predefined scheme

Typing

predefined data types such as float or date

yes

integer and binary

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

with tags

SQL

Support of SQL

yes

SQL-like query language

YQL, an SQL-based language, is supported

APIs and other access methods

HTTP API

HTTP REST

Supported programming languages

C
Go
Java
PHP
Python

.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

consistent hashing

Sharding

based on HBase

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication with selectable replication factor

selectable replication factor

based on HBase

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

with Hadoop integration

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using LevelDB

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

Transient mode

User concepts

Access control

Access rights for users, groups and roles according to SQL-standard

Cryptographically strong user authentication and audit trail

Users with fine-grained authorization concept

Access Control Lists

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