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DBMS > Amazon Aurora vs. Amazon Redshift vs. Google Cloud Spanner

System Properties Comparison Amazon Aurora vs. Amazon Redshift vs. Google Cloud Spanner

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonLarge scale data warehouse service for use with business intelligence toolsA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.87
Rank#47  Overall
#28  Relational DBMS
Score21.39
Rank#31  Overall
#19  Relational DBMS
Score2.02
Rank#112  Overall
#55  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraaws.amazon.com/­redshiftcloud.google.com/­spanner
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.aws.amazon.com/­redshiftcloud.google.com/­spanner/­docs
DeveloperAmazonAmazon (based on PostgreSQL)Google
Initial release201520122017
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemshostedhostedhosted
Data schemeyesyesyes
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.yesnono
Secondary indexesyesrestrictedyes
SQL infoSupport of SQLyesyes infodoes not fully support an SQL-standardyes infoQuery statements complying to ANSI 2011
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBCGo
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesuser defined functions infoin Pythonno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationyesMaster-Master replication with 3 replicas for regional instances.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoinformational only, not enforced by the systemyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrity
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoStrict serializable isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

More information provided by the system vendor

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Related products and services
3rd partiesDBHawk: a web-based Amazon Redshift Workbench and Cloud database tool.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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Dremio is like magic for Redshift accelerating your analytical queries up to 1,000x.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon AuroraAmazon RedshiftGoogle Cloud Spanner
DB-Engines blog posts

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The popularity of cloud-based DBMSs has increased tenfold in four years
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Recent citations in the news

New Amazon Aurora integrations make machine learning more accessible to developers
27 November 2019, SDTimes.com

Modernize Your Applications on Amazon Aurora
28 November 2019, MarTech Advisor

Amazon Redshift Updates
5 December 2019, iProgrammer

Ivanti Announces Sponsorship for AWS re:Invent 2019
26 November 2019, PRNewswire

FINRA's CAT to Use AWS Cloud Services
6 December 2019, FTF News

provided by Google News

Amazon soups up RedShift
4 December 2019, Blocks and Files

Amazon Redshift Updates
5 December 2019, iProgrammer

AWS speeds up Redshift queries 10x with AQUA
3 December 2019, TechCrunch

Talend Achieves Amazon Redshift Ready Designation Nasdaq:TLND
4 December 2019, GlobeNewswire

Looker Achieves AWS Retail Competency Status and Amazon Redshift Ready Designation
4 December 2019, Business Wire

provided by Google News

Striim Announces Incremental Data Capture From Google Cloud Spanner; Enhanced Delivery to Google Cloud Pub/Sub
19 November 2019, Business Wire

Reactive programming with SQL: R2DBC 0.8 released
3 December 2019, JAXenter

Graph for the mass market: Neo4j launches Aura on Google Cloud
7 November 2019, ZDNet

Google’s Cloud Spanner database adds new features and regions
19 December 2018, TechCrunch

Google Updates Cloud Spanner: Query Introspection, New Regions, and New Multi-Region Configurations
31 December 2018, InfoQ.com

provided by Google News

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