DBMS > Amazon DynamoDB vs. ClickHouse vs. MySQL

System Properties Comparison Amazon DynamoDB vs. ClickHouse vs. MySQL

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Editorial information provided by DB-Engines

Name

Description

Hosted, scalable database service by Amazon with the data stored in Amazons cloud

Column-oriented Relational DBMS powering Yandex

Widely used open source RDBMS

Primary database model

Document store
Key-value store

Relational DBMS

Key/Value like access via memcached API

Secondary database models

Time Series DBMS

Document store
Spatial DBMS

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

Score	82.41
Rank	#16	Overall
	#2	Document stores
	#2	Key-value stores

Score	16.96
Rank	#39	Overall
	#24	Relational DBMS

Score	1126.64
Rank	#2	Overall
	#2	Relational DBMS

Website

aws.amazon.com/dynamodb

clickhouse.com

www.mysql.com

Technical documentation

docs.aws.amazon.com/dynamodb

clickhouse.com/docs

dev.mysql.com/doc

Developer

Amazon

Clickhouse Inc.

Oracle

since 2010, originally MySQL AB, then Sun

Initial release

2012

2016

1995

Current release

v23.7.4.5-stable, August 2023

8.2.0, October 2023

License

Commercial or Open Source

commercial

free tier for a limited amount of database operations

Open Source

Apache 2.0

Open Source

GPL version 2. Commercial licenses with extended functionallity are available

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.

Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.

Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
PlanetScale: Deploy a fully managed database with the reliability of MySQL and the scale of open source Vitess with PlanetScale today. Predictably scale, increase workflow velocity, and deploy features with zero downtime.

Implementation language

C++

C and C++

Server operating systems

hosted

FreeBSD
Linux
macOS

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.

yes

Secondary indexes

yes

yes, when using the MergeTree engine

yes

SQL

Support of SQL

Close to ANSI SQL

yes

with proprietary extensions

APIs and other access methods

RESTful HTTP API

HTTP REST
JDBC
ODBC
Proprietary protocol

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby

3rd party library
C++
Elixir

3rd party library
Go

3rd party library
Java

3rd party library
JavaScript (Node.js)

3rd party library
Kotlin

3rd party library
Nim

3rd party library
Perl

3rd party library
PHP

3rd party library
Python

3rd party library
R

3rd party library
Ruby

3rd party library
Scala

3rd party library

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

Server-side scripts

Stored procedures

yes

proprietary syntax

Triggers

yes

by integration with AWS Lambda

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

can be specified for read operations

Immediate Consistency

Foreign keys

Referential integrity

yes

not for MyISAM storage engine

Transaction concepts

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

ACID

ACID across one or more tables within a single AWS account and region

ACID

not for MyISAM storage engine

Concurrency

Support for concurrent manipulation of data

yes

table locks or row locks depending on storage engine

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

Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)

Access rights for users and roles

Users with fine-grained authorization concept

no user groups or roles

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

3rd parties

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
» more

Navicat Monitor is a safe, simple and agentless remote server monitoring tool for MySQL and many other database management systems.
» more

PlanetScale: Deploy a fully managed serverless database with the reliability of MySQL and the tested scalability of Vitess. Predictably scale, increase workflow velocity, and deploy features with zero downtime.
Get started with a PlanetScale database today for free.
» more

Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all

MySQL is the DBMS of the Year 2019
3 January 2020, Matthias Gelbmann, Paul Andlinger

MariaDB strengthens its position in the open source RDBMS market
5 April 2018, Matthias Gelbmann

The struggle for the hegemony in Oracle's database empire
2 May 2017, Paul Andlinger

show all

Conferences, events and webinars

more DBMS events

MySQL Enterprise Workshop
Austin, TX, 13 December 2023

MySQL HeatWave and Database Day
Austin, TX, 14 December 2023

MySQL Enterprise Workshop
Orlando, FL, 31 January 2024

Recent citations in the news

DynamoDB vs. ScyllaDB: A Price Performance Comparison
7 December 2023, The New Stack

AWS-Announces-Four-Zero-ETL-Integrations-to-Make-Data-Access-and-Analysis-Faster-and-Easier-Across-Data-Stores
28 November 2023, Amazon Press Release

AWS Adds Vector Capabilities to More Databases
30 November 2023, Datanami

Distributed Transactions at Scale in Amazon DynamoDB
7 November 2023, InfoQ.com

Automating DynamoDB Backups to S3 using AWS EventBridge Scheduler and Terraform
22 November 2023, Medium

provided by Google News

Why Clickhouse Should Be Your Next Database
6 July 2023, The New Stack

Snowflake vs. BigQuery vs. ClickHouse: Mastering Cost-Effective Business Analytics
6 December 2023, hackernoon.com

ClickHouse Announces ClickPipes: A Continuous Data Ingestion Service for ClickHouse Cloud
26 September 2023, Business Wire

TikTok Parent Open Sources Real-Time Data Warehouse
5 July 2023, Datanami

How I built natural language querying for a SQL database
10 June 2023, Medium

provided by Google News

Using HashiCorp Vault & Spring Cloud Vault to obtain Dynamic MySQL Credentials
8 December 2023, Medium

Oracle Continues MySQL HeatWave Innovation with Vector Store and New Generative AI Capabilities
20 September 2023, Oracle

MySQL 8.2 Introduces Transparent Read/Write Splitting
11 November 2023, InfoQ.com

MySQL servers targeted by 'Ddostf' DDoS-as-a-Service botnet
16 November 2023, BleepingComputer

Oracle Introduces MySQL HeatWave Lakehouse, Outperforming Databricks, Snowflake & BigQuery
21 July 2023, Forbes

provided by Google News

Job opportunities

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