DBMS > Alibaba Cloud Table Store vs. Amazon CloudSearch vs. Apache Doris vs. chDB

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

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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

A hosted search engine service by Amazon with the data stored in Amazons cloud

An MPP-based analytics DBMS embracing the MySQL protocol

An embedded SQL OLAP Engine powered by ClickHouse

Primary database model

Wide column store

Search engine

Relational DBMS

Secondary database models

Time Series DBMS

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

Score	0.31
Rank	#297	Overall
	#11	Wide column stores

Score	1.81
Rank	#137	Overall
	#12	Search engines

Score	0.60
Rank	#247	Overall
	#113	Relational DBMS

Score	0.07
Rank	#376	Overall
	#158	Relational DBMS

Website

www.alibabacloud.com/product/table-store

aws.amazon.com/cloudsearch

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

github.com/chdb-io/chdb

Technical documentation

www.alibabacloud.com/help/en/tablestore

docs.aws.amazon.com/cloudsearch

github.com/apache/doris/wiki

doc.chdb.io

Developer

Alibaba

Amazon

Apache Software Foundation, originally contributed from Baidu

Initial release

2016

2012

2017

2023

Current release

1.2.2, February 2023

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

Open Source

Apache Version 2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Server operating systems

hosted

Linux

server-less

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

all search fields are automatically indexed

yes

SQL

Support of SQL

yes

Close to ANSI SQL (SQL/JSON + extensions)

APIs and other access methods

HTTP API

JDBC
MySQL client

Supported programming languages

Java
Python

Java

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

Server-side scripts

Stored procedures

user defined functions

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

yes

automatic partitioning across Amazon Search Instance as required

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

yes

managed transparently by AWS

none

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

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

Atomic single-row operations

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

authentication via encrypted signatures

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

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