DBMS > Amazon DynamoDB vs. ClickHouse vs. Kyligence Enterprise

System Properties Comparison Amazon DynamoDB vs. ClickHouse vs. Kyligence Enterprise

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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

A distributed analytics engine for big data, built on top of Apache Kylin

Primary database model

Document store
Key-value store

Relational DBMS

Secondary database models

Time Series 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	0.51
Rank	#282	Overall
	#126	Relational DBMS

Website

aws.amazon.com/dynamodb

clickhouse.com

kyligence.io/kyligence-enterprise

Technical documentation

docs.aws.amazon.com/dynamodb

clickhouse.com/docs

Developer

Amazon

Clickhouse Inc.

Kyligence, Inc.

Initial release

2012

2016

Current release

v23.7.4.5-stable, August 2023

License

Commercial or Open Source

commercial

free tier for a limited amount of database operations

Open Source

Apache 2.0

commercial

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.

Implementation language

C++

Java

Server operating systems

hosted

FreeBSD
Linux
macOS

Linux

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

yes, when using the MergeTree engine

yes

SQL

Support of SQL

Close to ANSI SQL

ANSI SQL for queries (using Apache Calcite)

APIs and other access methods

RESTful HTTP API

HTTP REST
JDBC
ODBC
Proprietary protocol

JDBC
ODBC
RESTful HTTP 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

Server-side scripts

Stored procedures

Triggers

yes

by integration with AWS Lambda

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

yes

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

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

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.

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

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