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DBMS > Amazon Aurora vs. ClickHouse

System Properties Comparison Amazon Aurora vs. ClickHouse

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonClickHouse  Xexclude from comparison
DescriptionFully managed relational database service built for the cloud providing unparalleled high performance and availability at global scale for MySQL, PostgreSQL, and DSQLA high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.99
Rank#44  Overall
#28  Relational DBMS
Score18.61
Rank#31  Overall
#19  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraclickhouse.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_AuroraOverview.html
docs.aws.amazon.com/­aurora-dsql/­latest/­userguide/­what-is-aurora-dsql.html
clickhouse.com/­docs
Social network pagesLinkedIn
DeveloperAmazonClickhouse Inc.
Initial release20152016
Current releaseAurora DSQL, November 2024 (preview), PostgreSQL: docs.aws.amazon.com/­AmazonRDS/­latest/­AuroraPostgreSQLReleaseNotes/­AuroraPostgreSQL.Updates.html , MySQL: docs.aws.amazon.com/­AmazonRDS/­latest/­AuroraMySQLReleaseNotes/­AuroraMySQL.release-calendars.htmlv24.6.2.17-stable, July 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePostgreSQL/MySQL: C, C++, Aurora DSQL: RustC++
Server operating systemsAmazon LinuxFreeBSD
Linux
macOS
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.yesno
Secondary indexesyesyes
SQL infoSupport of SQLyes, MySQL and PostgreSQL dialectsClose to ANSI SQL (SQL/JSON + extensions)
APIs and other access methodsDSQL API: docs.aws.amazon.com/­aurora-dsql/­latest/­userguide/­CHAP_api_reference.html
MySQL wire protocol
PostgreSQL wire protocol
RDS Data API: docs.aws.amazon.com/­AmazonRDS/­latest/­UserGuide/­ProgrammingGuide.html
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Rust
Scheme
Tcl
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
Rust
Scala info3rd party library
Server-side scripts infoStored proceduresPL/pgSQL, MySQL stored program language, APG trusted language extensionsyes
TriggersAurora MySQL: Yes. Aurora PostgreSQL: Yes. Aurora DSQL: No.no
Partitioning methods infoMethods for storing different data on different nodesDBMS table partitioning, Horizontal storage partitioning, Sharding, Distributed horizontal partitioning (DSQL)key based and custom
Replication methods infoMethods for redundantly storing data on multiple nodesFull replication
Logical replication
Snapshot replication
Transactional replication
Asynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate/Strong Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, Multi-statementno
Concurrency infoSupport for concurrent manipulation of dataMultiversion concurrency control (MVCC) with fully compatible MySQL and PostgreSQL options. Optimistic concurrency control (OCC) in Aurora DSQL.yes
Durability infoSupport for making data persistentData is replicated across 3 Availability Zones (AZs) within a single AWS Region. Active-active multi-Region high availability across 3 Regions (2 active, 1 witness) and automated failover recovery with Aurora DSQL. Automated, continuous backup of data with point in time restore. Fault-tolerant, self-healing storage system.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlRole based permissions
Row level security
Access rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.

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More resources
Amazon AuroraClickHouse
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Recent citations in the news

Amazon Aurora now supports R8g database instances in additional AWS Regions
14 March 2025, AWS Blog

Upgrade strategies for Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL 12
26 February 2025, AWS Blog

Migrate very large databases to Amazon Aurora MySQL using MyDumper and MyLoader
27 February 2025, AWS Blog

Introducing Amazon Aurora DSQL | Amazon Web Services
3 December 2024, AWS Blog

Amazon Aurora PostgreSQL Limitless Database is now generally available
31 October 2024, AWS Blog

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DeepSeek Exposed Database Leaks Sensitive Data
30 January 2025, Infosecurity Magazine

Wiz reveals DeepSeek database exposed API keys, chat history
30 January 2025, TechTarget

provided by Google News



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