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DBMS > Alibaba Cloud PolarDB vs. Amazon Aurora

System Properties Comparison Alibaba Cloud PolarDB vs. Amazon Aurora

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Our visitors often compare Alibaba Cloud PolarDB and Amazon Aurora with MySQL, PostgreSQL and OceanBase.

Editorial information provided by DB-Engines
NameAlibaba Cloud PolarDB  Xexclude from comparisonAmazon Aurora  Xexclude from comparison
DescriptionA cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.Fully managed relational database service built for the cloud providing unparalleled high performance and availability at global scale for MySQL, PostgreSQL, and DSQL
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.26
Rank#158  Overall
#71  Relational DBMS
Score7.25
Rank#46  Overall
#29  Relational DBMS
Websitewww.alibabacloud.com/­product/­polardbaws.amazon.com/­rds/­aurora
Technical documentationwww.alibabacloud.com/­help/­en/­polardb/­product-overviewdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_AuroraOverview.html
docs.aws.amazon.com/­aurora-dsql/­latest/­userguide/­what-is-aurora-dsql.html
Social network pagesLinkedIn
DeveloperAlibabaAmazon
Initial release2015
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.html
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyes
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: Rust
Server operating systemshostedAmazon Linux
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 SQLyesyes, MySQL and PostgreSQL dialects
APIs and other access methodsJDBC
ODBC
DSQL 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
Supported programming languagesJava
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Rust
Scheme
Tcl
Server-side scripts infoStored proceduresyesPL/pgSQL, MySQL stored program language, APG trusted language extensions
TriggersyesAurora MySQL: Yes. Aurora PostgreSQL: Yes. Aurora DSQL: No.
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceDBMS table partitioning, Horizontal storage partitioning, Sharding, Distributed horizontal partitioning (DSQL)
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceFull replication
Logical replication
Snapshot replication
Transactional replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate/Strong Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, Multi-statement
Concurrency infoSupport for concurrent manipulation of datayesMultiversion concurrency control (MVCC) with fully compatible MySQL and PostgreSQL options. Optimistic concurrency control (OCC) in Aurora DSQL.
Durability infoSupport for making data persistentyesData 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.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based permissions
Row level security

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More resources
Alibaba Cloud PolarDBAmazon Aurora
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Recent citations in the news

Alibaba Cloud’s PolarDB Breaks TPC-C Benchmark World Record with Innovative ‘Three-Layer Decoupling’ Architecture
26 February 2025, Alizila

Alibaba Cloud’s PolarDB Breaks TPC-C Record
12 March 2025, CDOTrends

Figure 1: Illustration of POLARDB architecture.
3 November 2024, ResearchGate

Alibaba Cloud PolarDB Tops Global Database Performance, Price/tpmC Rankings
25 February 2025, AASTOCKS.com

Alibaba Cloud Recognised as a Leader in 2024 Gartner Magic Quadrant for Cloud Database Management Systems
23 January 2025, SME & Entrepreneurship Magazine

provided by Google News

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

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

Amazon Aurora PostgreSQL Limitless Database is now generally available
31 October 2024, Amazon Web Services

Introducing scaling to 0 capacity with Amazon Aurora Serverless v2
20 November 2024, Amazon Web Services

Evaluating the right fit for your Amazon Aurora workloads: provisioned or Serverless v2 | Amazon Web Services
23 October 2024, Amazon Web Services

provided by Google News



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