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DBMS > Amazon DocumentDB vs. ClickHouse vs. Derby

System Properties Comparison Amazon DocumentDB vs. ClickHouse vs. Derby

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonClickHouse  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceColumn-oriented Relational DBMS powering YandexFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.
Primary database modelDocument storeRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.30
Rank#139  Overall
#24  Document stores
Score15.19
Rank#39  Overall
#24  Relational DBMS
Score6.84
Rank#61  Overall
#35  Relational DBMS
Websiteaws.amazon.com/­documentdbclickhouse.comdb.apache.org/­derby
Technical documentationaws.amazon.com/­documentdb/­resourcesclickhouse.com/­docsdb.apache.org/­derby/­manuals/­index.html
DeveloperClickhouse Inc.Apache Software Foundation
Initial release201920161997
Current releasev23.7.4.5-stable, August 202310.16.1.1, May 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache version 2
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemshostedFreeBSD
Linux
macOS
All OS with a Java VM
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyes
Secondary indexesyesyes, when using the MergeTree engineyes
SQL infoSupport of SQLnoClose to ANSI SQLyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP REST
JDBC
ODBC
Proprietary protocol
JDBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
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
Java
Server-side scripts infoStored proceduresnonoJava Stored Procedures
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica 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 systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACID
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.yesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBClickHouseDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB
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