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DBMS > Amazon DynamoDB vs. ClickHouse vs. Fauna

System Properties Comparison Amazon DynamoDB vs. ClickHouse vs. Fauna

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonClickHouse  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudColumn-oriented Relational DBMS powering YandexFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.
Primary database modelDocument store
Key-value store
Relational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score79.90
Rank#15  Overall
#2  Document stores
#2  Key-value stores
Score14.97
Rank#44  Overall
#28  Relational DBMS
Score1.80
Rank#165  Overall
#27  Document stores
#13  Graph DBMS
#78  Relational DBMS
#13  Time Series DBMS
Websiteaws.amazon.com/­dynamodbclickhouse.techfauna.com
Technical documentationdocs.aws.amazon.com/­dynamodbclickhouse.tech/­docsdocs.fauna.com
DeveloperAmazonClickhouse Inc.Fauna, Inc.
Initial release201220162014
Current releasev23.4.1.1943-stable, April 2023
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Scala
Server operating systemshostedFreeBSD
Linux
macOS
hosted
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesyes, when using the MergeTree engineyes
SQL infoSupport of SQLnoClose to ANSI SQLno
APIs and other access methodsRESTful HTTP APIHTTP REST
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Scala info3rd party library
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
Server-side scripts infoStored proceduresnonouser defined functions
Triggersyes infoby integration with AWS Lambdanono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and rolesIdentity management, authentication, and access control

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More resources
Amazon DynamoDBClickHouseFauna infopreviously named FaunaDB
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