DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > AgensGraph vs. Amazon Aurora vs. Google Cloud Datastore

System Properties Comparison AgensGraph vs. Amazon Aurora vs. Google Cloud Datastore

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAmazon Aurora  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLFully managed relational database service built for the cloud providing unparalleled high performance and availability at global scale for MySQL, PostgreSQL, and DSQLAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#318  Overall
#27  Graph DBMS
#142  Relational DBMS
Score8.28
Rank#43  Overall
#27  Relational DBMS
Score3.69
Rank#71  Overall
#12  Document stores
Websitebitnine.net/­agensgraphaws.amazon.com/­rds/­auroracloud.google.com/­datastore
Technical documentationbitnine.net/­documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_AuroraOverview.html
docs.aws.amazon.com/­aurora-dsql/­latest/­userguide/­what-is-aurora-dsql.html
cloud.google.com/­datastore/­docs
Social network pagesLinkedIn
DeveloperBitnine Global Inc.AmazonGoogle
Initial release201620152008
Current release2.1, December 2018Aurora 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 SourceOpen Source infoApache License 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCPostgreSQL/MySQL: C, C++, Aurora DSQL: Rust
Server operating systemsLinux
OS X
Windows
Amazon Linuxhosted
Data schemedepending on used data modelyesschema-free
Typing infopredefined data types such as float or dateyesyesyes, details here
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.noyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyes, MySQL and PostgreSQL dialectsSQL-like query language (GQL)
APIs and other access methodsCypher Query Language
JDBC
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
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Supported programming languagesC
Java
JavaScript
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Rust
Scheme
Tcl
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesPL/pgSQL, MySQL stored program language, APG trusted language extensionsusing Google App Engine
TriggersnoAurora MySQL: Yes. Aurora PostgreSQL: Yes. Aurora DSQL: No.Callbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceDBMS table partitioning, Horizontal storage partitioning, Sharding, Distributed horizontal partitioning (DSQL)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationFull replication
Logical replication
Snapshot replication
Transactional replication
Multi-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate/Strong Consistency
Immediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integrityyesyesyes infovia ReferenceProperties or Ancestor paths
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, Multi-statementACID infoSerializable Isolation within Transactions, Read Committed outside of Transactions
Concurrency infoSupport for concurrent manipulation of datayesMultiversion concurrency control (MVCC) with fully compatible MySQL and PostgreSQL options. Optimistic concurrency control (OCC) in Aurora DSQL.yes
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.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based permissions
Row level security
Access rights for users, groups and roles based on Google Cloud 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
AgensGraphAmazon AuroraGoogle Cloud Datastore
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

Graph DBMS Performance Comparison AgensGraph vs. Neo4j
29 June 2017, Business Wire

Bitnine Releases AgensGraph 2.1, the Multi-model Graph Database Optimized for the Legacy Environment
29 January 2019, Business Wire

Directors Company completes acquisition of Bitnine
5 December 2024, The Investor

AGE - The Open Source PostgreSQL Extension For Graph Database Functionality
27 June 2022, iProgrammer

Bitnine Promoting a First IPO in the Graph Database Industry This Year
2 March 2021, Business Wire

provided by Google News

Announcing Amazon Aurora DSQL (Preview)
3 December 2024, AWS Blog

How Aqua Security exports query data from Amazon Aurora to deliver value to their customers at scale
29 January 2025, AWS Blog

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

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

Introducing scaling up to 256 ACUs with Amazon Aurora Serverless v2
8 October 2024, AWS Blog

provided by Google News

17 Top Cloud Storage Companies to Know
9 April 2024, Built In

Firestore: NoSQL document database
9 October 2017, Google

NetApp Cloud Volumes Service datastore support for Google Cloud VMware Engine
7 February 2023, NetApp

Your Memories. Their Cloud. (Published 2022)
1 January 2023, The New York Times

Leveraging the Google Cloud Platform
29 September 2016, nianticlabs.com

provided by Google News



Share this page

Featured Products

SingleStore logo

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

Neo4j logo

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

RaimaDB logo

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

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

Milvus logo

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

Present your product here