DBMS > Amazon Aurora vs. Atos Standard Common Repository vs. DolphinDB vs. GBase

System Properties Comparison Amazon Aurora vs. Atos Standard Common Repository vs. DolphinDB vs. GBase

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Editorial information provided by DB-Engines
Name	Amazon Aurora  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	DolphinDB  Xexclude from comparison	GBase  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	DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.	Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.
Primary database model	Relational DBMS	Document store Key-value store	Time Series DBMS	Relational DBMS
Secondary database models	Document store		Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 7.57 Rank #51   Overall #32   Relational DBMS		Score 4.03 Rank #78   Overall #6   Time Series DBMS	Score 1.05 Rank #186   Overall #86   Relational DBMS
Website	aws.amazon.com/­rds/­aurora	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.dolphindb.com	www.gbase.cn
Technical documentation	docs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.html		docs.dolphindb.cn/­en/­help200/­index.html
Developer	Amazon	Atos Convergence Creators	DolphinDB, Inc	General Data Technology Co., Ltd.
Initial release	2015	2016	2018	2004
Current release		1703	v2.00.4, January 2022	GBase 8a, GBase 8s, GBase 8c
License Commercial or Open Source	commercial	commercial	commercial free community version available	commercial
Cloud-based only Only available as a cloud service	yes	no	no	no
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Implementation language		Java	C++	C, Java, Python
Server operating systems	hosted	Linux	Linux Windows	Linux
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	no	yes
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	yes	no	SQL-like query language	Standard with numerous extensions
APIs and other access methods	ADO.NET JDBC ODBC	LDAP	JDBC JSON over HTTP Kafka MQTT (Message Queue Telemetry Transport) ODBC OPC DA OPC UA RabbitMQ WebSocket	ADO.NET C API JDBC ODBC
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# C++ Go Java JavaScript MatLab Python R Rust	C#
Server-side scripts Stored procedures	yes	no	yes	user defined functions
Triggers	yes	yes	no	yes
Partitioning methods Methods for storing different data on different nodes	horizontal partitioning	Sharding cell division	horizontal partitioning	horizontal partitioning (by range, list and hash) and vertical partitioning
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication	yes	yes	yes
MapReduce Offers an API for user-defined Map/Reduce methods	no		yes
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	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	Atomic execution of specific operations	yes	ACID
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	yes
User concepts Access control	fine grained access rights according to SQL-standard	LDAP bind authentication	Administrators, Users, Groups	yes
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More resources
	Amazon Aurora	Atos Standard Common Repository	DolphinDB	GBase
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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