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DBMS > Amazon Aurora vs. Amazon Redshift vs. Hazelcast vs. openGauss

System Properties Comparison Amazon Aurora vs. Amazon Redshift vs. Hazelcast vs. openGauss

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonHazelcast  Xexclude from comparisonopenGauss  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonLarge scale data warehouse service for use with business intelligence toolsA widely adopted in-memory data gridAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument storeDocument store infoJSON support with IMDG 3.12Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score1.08
Rank#183  Overall
#84  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraaws.amazon.com/­redshifthazelcast.comgitee.com/­opengauss
opengauss.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.aws.amazon.com/­redshifthazelcast.org/­imdg/­docsdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperAmazonAmazon (based on PostgreSQL)HazelcastHuawei and openGauss community
Initial release2015201220082019
Current release5.3.6, November 20233.0, March 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC, C++, Java
Server operating systemshostedhostedAll OS with a Java VMLinux
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnoyes infothe object must implement a serialization strategyno
Secondary indexesyesrestrictedyesyes
SQL infoSupport of SQLyesyes infodoes not fully support an SQL-standardSQL-like query languageANSI SQL 2011
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
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/ODBC.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C++
Java
Server-side scripts infoStored proceduresyesuser defined functions infoin Pythonyes infoEvent Listeners, Executor Servicesyes
Triggersyesnoyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardinghorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes infoReplicated MapSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityyesyes infoinformational only, not enforced by the systemnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardRole-based access controlAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon AuroraAmazon RedshiftHazelcastopenGauss
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Recent citations in the news

Join the preview of Amazon Aurora Limitless Database | Amazon Web Services
27 November 2023, AWS Blog

Amazon Aurora MySQL version 2 (with MySQL 5.7 compatibility) to version 3 (with MySQL 8.0 compatibility) upgrade ...
18 March 2024, AWS Blog

New – Amazon Aurora Optimized Reads for Aurora PostgreSQL with up to 8x query latency improvement for I/O ...
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7 November 2023, AWS Blog

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12 February 2024, AWS Blog

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29 November 2023, AWS Blog

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22 February 2024, Datanami

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7 November 2023, Finovate

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openGauss Open Source Community Officially Launch
1 July 2020, Huawei

The openGauss powers database industry forward through innovation
6 January 2022, Global Times

About HUAWEI Open Source
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