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DBMS > Amazon Aurora vs. MySQL vs. Valkey

System Properties Comparison Amazon Aurora vs. MySQL vs. Valkey

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonMySQL  Xexclude from comparisonValkey infoOpen source key/value datastore  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 DSQLWidely used open source RDBMSOpen source key/value datastore
Primary database modelRelational DBMSRelational DBMS infoKey/Value like access via memcached APIKey-value store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.33
Rank#46  Overall
#29  Relational DBMS
Score987.11
Rank#2  Overall
#2  Relational DBMS
Score1.14
Rank#169  Overall
#27  Key-value stores
Websiteaws.amazon.com/­rds/­aurorawww.mysql.comvalkey.io
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_AuroraOverview.html
docs.aws.amazon.com/­aurora-dsql/­latest/­userguide/­what-is-aurora-dsql.html
dev.mysql.com/­docgithub.com/­valkey-io/­valkey
Social network pagesLinkedIn
DeveloperAmazonOracle infosince 2010, originally MySQL AB, then Sun
Initial release201519952024
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.html9.0.0, July 2024Valkey 8.0.1, October 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePostgreSQL/MySQL: C, C++, Aurora DSQL: RustC and C++C
Server operating systemsAmazon LinuxFreeBSD
Linux
OS X
Solaris
Windows
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.yesyes
Secondary indexesyesyes
SQL infoSupport of SQLyes, MySQL and PostgreSQL dialectsyes infowith proprietary 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
ADO.NET
JDBC
ODBC
Proprietary native API
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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresPL/pgSQL, MySQL stored program language, APG trusted language extensionsyes infoproprietary syntax
TriggersAurora MySQL: Yes. Aurora PostgreSQL: Yes. Aurora DSQL: No.yesno
Partitioning methods infoMethods for storing different data on different nodesDBMS table partitioning, Horizontal storage partitioning, Sharding, Distributed horizontal partitioning (DSQL)horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesFull replication
Logical replication
Snapshot replication
Transactional replication
Multi-source replication
Source-replica replication
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 integrityyesyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, Multi-statementACID infonot for MyISAM storage engine
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 infotable locks or row locks depending on storage engine
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
Users with fine-grained authorization concept infono user groups or roles

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More resources
Amazon AuroraMySQLValkey infoOpen source key/value datastore
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