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DBMS > Amazon Aurora vs. Amazon DynamoDB vs. openGauss

System Properties Comparison Amazon Aurora vs. Amazon DynamoDB vs. openGauss

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAmazon DynamoDB  Xexclude from comparisonopenGauss  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 DSQLHosted, scalable database service by Amazon with the data stored in Amazons cloudAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMS
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
Score7.25
Rank#46  Overall
#29  Relational DBMS
Score79.30
Rank#15  Overall
#3  Document stores
#2  Key-value stores
Score0.96
Rank#187  Overall
#85  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraaws.amazon.com/­dynamodbgitee.com/­opengauss
opengauss.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_AuroraOverview.html
docs.aws.amazon.com/­aurora-dsql/­latest/­userguide/­what-is-aurora-dsql.html
docs.aws.amazon.com/­dynamodbdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
Social network pagesLinkedIn
DeveloperAmazonAmazonHuawei and openGauss community
Initial release201520122019
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.html3.0, March 2022
License infoCommercial or Open Sourcecommercialcommercial infofree tier for a limited amount of database operationsOpen Source
Cloud-based only infoOnly available as a cloud serviceyesyesno
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, C++, Java
Server operating systemsAmazon LinuxhostedLinux
Data schemeyesschema-freeyes
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.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLyes, MySQL and PostgreSQL dialectsnoANSI SQL 2011
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
RESTful HTTP APIJDBC
ODBC
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
.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C++
Java
Server-side scripts infoStored proceduresPL/pgSQL, MySQL stored program language, APG trusted language extensionsnoyes
TriggersAurora MySQL: Yes. Aurora PostgreSQL: Yes. Aurora DSQL: No.yes infoby integration with AWS Lambdayes
Partitioning methods infoMethods for storing different data on different nodesDBMS table partitioning, Horizontal storage partitioning, Sharding, Distributed horizontal partitioning (DSQL)Shardinghorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesFull replication
Logical replication
Snapshot replication
Transactional replication
yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate/Strong Consistency
Eventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, Multi-statementACID infoACID across one or more tables within a single AWS account and regionACID
Concurrency infoSupport for concurrent manipulation of dataMultiversion concurrency control (MVCC) with fully compatible MySQL and PostgreSQL options. Optimistic concurrency control (OCC) in Aurora DSQL.yesyes
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.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlRole based permissions
Row level security
Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles according to SQL-standard

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More resources
Amazon AuroraAmazon DynamoDBopenGauss
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Recent citations in the news

Optimizing cost savings: The advantage of Amazon Aurora over self-managed open source databases
31 March 2025, Amazon Web Services (AWS)

Introducing Amazon Aurora DSQL | Amazon Web Services
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Introducing scaling to 0 capacity with Amazon Aurora Serverless v2
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23 October 2024, Amazon Web Services (AWS)

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