DB-EnginesextremeDB - Data management wherever you need itEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Amazon Aurora vs. Amazon Neptune

System Properties Comparison Amazon Aurora vs. Amazon Neptune

Please select another system to include it in the comparison.

Our visitors often compare Amazon Aurora and Amazon Neptune with Microsoft Azure Cosmos DB, Amazon DynamoDB and OpenSearch.

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAmazon Neptune  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 DSQLFast, reliable graph database built for the cloud
Primary database modelRelational DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.99
Rank#44  Overall
#28  Relational DBMS
Score2.07
Rank#111  Overall
#9  Graph DBMS
#5  RDF stores
Websiteaws.amazon.com/­rds/­auroraaws.amazon.com/­neptune
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_AuroraOverview.html
docs.aws.amazon.com/­aurora-dsql/­latest/­userguide/­what-is-aurora-dsql.html
aws.amazon.com/­neptune/­developer-resources
Social network pagesLinkedIn
DeveloperAmazonAmazon
Initial release20152017
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 systemsAmazon Linuxhosted
Data schemeyesschema-free
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 indexesyesno
SQL infoSupport of SQLyes, MySQL and PostgreSQL dialectsno
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
OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
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#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresPL/pgSQL, MySQL stored program language, APG trusted language extensionsno
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)none
Replication methods infoMethods for redundantly storing data on multiple nodesFull replication
Logical replication
Snapshot replication
Transactional replication
Multi-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.
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 infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, Multi-statementACID
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 infowith encyption-at-rest
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
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)

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon AuroraAmazon Neptune
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

show all

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

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

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

provided by Google News

Use Amazon Neptune Analytics to analyze relationships in your data faster, Part 2: Enhancing fraud detection with Parquet and CSV import and export
21 January 2025, AWS Blog

How Coinbase provides trustworthy financial experiences through real-time user clustering with Amazon Neptune
18 November 2024, AWS Blog

How Prisma Cloud built Infinity Graph using Amazon Neptune and Amazon OpenSearch Service
27 August 2024, AWS Blog

How Orca Security optimized their Amazon Neptune database performance
17 January 2025, AWS Blog

How Amazon stores deliver trustworthy shopping and seller experiences using Amazon Neptune
18 September 2024, AWS Blog

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Present your product here