DBMS > Amazon Aurora vs. Atos Standard Common Repository vs. OpenTenBase vs. Postgres-XL

System Properties Comparison Amazon Aurora vs. Atos Standard Common Repository vs. OpenTenBase vs. Postgres-XL

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Editorial information provided by DB-Engines
Name	Amazon Aurora  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	OpenTenBase  Xexclude from comparison	Postgres-XL  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines ranking.
Description	MySQL and PostgreSQL compatible cloud service by Amazon	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	An enterprise-level distributed HTAP open source database based on PostgreSQL	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database model	Relational DBMS	Document store Key-value store	Relational DBMS	Relational DBMS
Secondary database models	Document store			Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 7.57 Rank #51   Overall #32   Relational DBMS		Score 0.08 Rank #370   Overall #156   Relational DBMS	Score 0.53 Rank #254   Overall #117   Relational DBMS
Website	aws.amazon.com/­rds/­aurora	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­OpenTenBase/­OpenTenBase www.opentenbase.org	www.postgres-xl.org
Technical documentation	docs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.html		docs.opentenbase.org docs.opentenbase.org/­en	www.postgres-xl.org/­documentation
Developer	Amazon	Atos Convergence Creators	OpenAtom Foundation, previously Tencent
Initial release	2015	2016		2014 since 2012, originally named StormDB
Current release		1703	2.5, January 2024	10 R1, October 2018
License Commercial or Open Source	commercial	commercial	Open Source BSD-3	Open Source Mozilla public license
Cloud-based only Only available as a cloud service	yes	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		Java		C
Server operating systems	hosted	Linux	Linux	Linux macOS
Data scheme	yes	Schema and schema-less with LDAP views	yes	yes
Typing predefined data types such as float or date	yes	optional	yes	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	yes	yes		yes XML type, but no XML query functionality
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	yes	no	yes	yes distributed, parallel query execution
APIs and other access methods	ADO.NET JDBC ODBC	LDAP		ADO.NET JDBC native C library ODBC streaming API for large objects
Supported programming languages	Ada C C# C++ D Delphi Eiffel Erlang Haskell Java JavaScript (Node.js) Objective-C OCaml Perl PHP Python Ruby Scheme Tcl	All languages with LDAP bindings	C Go Java PHP Python	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl
Server-side scripts Stored procedures	yes	no		user defined functions
Triggers	yes	yes	yes	yes
Partitioning methods Methods for storing different data on different nodes	horizontal partitioning	Sharding cell division	Sharding	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication	yes	yes
MapReduce Offers an API for user-defined Map/Reduce methods	no			no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	yes	no	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	Atomic execution of specific operations	ACID	ACID MVCC
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes		no
User concepts Access control	fine grained access rights according to SQL-standard	LDAP bind authentication	Access rights for users, groups and roles according to SQL-standard	fine grained access rights according to SQL-standard
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More resources
	Amazon Aurora	Atos Standard Common Repository	OpenTenBase	Postgres-XL
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	Introducing the Advanced Python Wrapper Driver for Amazon Aurora | Amazon Web Services 11 June 2024, AWS Blog Build a FedRAMP compliant generative AI-powered chatbot using Amazon Aurora Machine Learning and Amazon ... 10 June 2024, AWS Blog Join the preview of Amazon Aurora Limitless Database | Amazon Web Services 27 November 2023, AWS Blog Improve the performance of generative AI workloads on Amazon Aurora with Optimized Reads and pgvector | Amazon ... 9 February 2024, AWS Blog Build generative AI applications with Amazon Aurora and Knowledge Bases for Amazon Bedrock | Amazon Web Services 2 February 2024, AWS Blog provided by Google News

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