DBMS > Alibaba Cloud Table Store vs. Apache Doris vs. chDB vs. MonetDB

System Properties Comparison Alibaba Cloud Table Store vs. Apache Doris vs. chDB vs. MonetDB

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Editorial information provided by DB-Engines

Name

Description

A fully managed Wide Column Store for large quantities of semi-structured data with real-time access

An MPP-based analytics DBMS embracing the MySQL protocol

An embedded SQL OLAP Engine powered by ClickHouse

A relational database management system that stores data in columns

Primary database model

Wide column store

Relational DBMS

Secondary database models

Time Series DBMS

Document store
Spatial DBMS

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

Score	0.25
Rank	#294	Overall
	#12	Wide column stores

Score	0.61
Rank	#235	Overall
	#110	Relational DBMS

Score	0.05
Rank	#358	Overall
	#152	Relational DBMS

Score	1.72
Rank	#135	Overall
	#62	Relational DBMS

Website

www.alibabacloud.com/product/table-store

doris.apache.org
github.com/apache/doris

github.com/chdb-io/chdb

www.monetdb.org

Technical documentation

www.alibabacloud.com/help/en/tablestore

github.com/apache/doris/wiki

doc.chdb.io

www.monetdb.org/Documentation

Developer

Alibaba

Apache Software Foundation, originally contributed from Baidu

MonetDB BV

Initial release

2016

2017

2023

2004

Current release

1.2.2, February 2023

Dec2023 (11.49), December 2023

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

Open Source

Apache Version 2.0

Open Source

Mozilla Public License 2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Server operating systems

hosted

Linux

server-less

FreeBSD
Linux
OS X
Solaris
Windows

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

yes

SQL

Support of SQL

yes

Close to ANSI SQL (SQL/JSON + extensions)

yes

SQL 2003 with some extensions

APIs and other access methods

HTTP API

JDBC
MySQL client

JDBC
native C library

MAPI library (MonetDB application programming interface)
ODBC

Supported programming languages

Java
Python

Java

Bun
C
C++
Go
JavaScript (Node.js)
Python
Rust

C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby

Server-side scripts

Stored procedures

user defined functions

yes, in SQL, C, R

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

horizontal partitioning

Sharding via remote tables

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

none

Source-replica replication available in experimental status

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

Atomic single-row operations

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.

User concepts

Access control

Access rights based on subaccounts and tokens

fine grained access rights according to SQL-standard

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