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|
|Name||Amazon DocumentDB Xexclude from comparison||ClickHouse Xexclude from comparison||Derby often called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB Xexclude from comparison|
|Description||Fast, scalable, highly available, and fully managed MongoDB-compatible database service||Column-oriented Relational DBMS powering Yandex||Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.|
|Primary database model||Document store||Relational DBMS||Relational DBMS|
|Secondary database models||Time Series DBMS|
|Developer||Clickhouse Inc.||Apache Software Foundation|
|Current release||v22.214.171.124-stable, August 2023||10.16.1.1, May 2022|
|License Commercial or Open Source||commercial||Open Source Apache 2.0||Open Source Apache version 2|
|Cloud-based only Only available as a cloud service||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||hosted||FreeBSD|
|All OS with a Java VM|
|Typing predefined data types such as float or date||yes||yes||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.||no||no||yes|
|Secondary indexes||yes||yes, when using the MergeTree engine||yes|
|SQL Support of SQL||no||Close to ANSI SQL||yes|
|APIs and other access methods||proprietary protocol using JSON (MongoDB compatible)||HTTP REST|
|Supported programming languages||Go|
|C# 3rd party library|
Elixir 3rd party library
Go 3rd party library
Java 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||no||no||Java Stored Procedures|
|Partitioning methods Methods for storing different data on different nodes||none||none|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-availability zones for high availability, asynchronous replication for up to 15 read replicas||Source-replica replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no may be implemented via Amazon Elastic MapReduce (Amazon EMR)||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no typically not used, however similar functionality with DBRef possible||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||Atomic single-document operations||no||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||yes|
|User concepts Access control||Access rights for users and roles||Access rights for users and roles||fine grained access rights according to SQL-standard|
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|Amazon DocumentDB||ClickHouse||Derby often called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB|
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