DBMS > Amazon DocumentDB vs. Atos Standard Common Repository vs. Drizzle vs. H2

System Properties Comparison Amazon DocumentDB vs. Atos Standard Common Repository vs. Drizzle vs. H2

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Editorial information provided by DB-Engines
Name	Amazon DocumentDB  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	Drizzle  Xexclude from comparison	H2  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines ranking.	Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
Description	Fast, scalable, highly available, and fully managed MongoDB-compatible database service	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.	Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.
Primary database model	Document store	Document store Key-value store	Relational DBMS	Relational DBMS
Secondary database models				Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 1.91 Rank #131   Overall #24   Document stores			Score 8.33 Rank #46   Overall #30   Relational DBMS
Website	aws.amazon.com/­documentdb	atos.net/en/convergence-creators/portfolio/standard-common-repository		www.h2database.com
Technical documentation	aws.amazon.com/­documentdb/­resources			www.h2database.com/­html/­main.html
Developer		Atos Convergence Creators	Drizzle project, originally started by Brian Aker	Thomas Mueller
Initial release	2019	2016	2008	2005
Current release		1703	7.2.4, September 2012	2.2.220, July 2023
License Commercial or Open Source	commercial	commercial	Open Source GNU GPL	Open Source dual-licence (Mozilla public license, Eclipse 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++	Java
Server operating systems	hosted	Linux	FreeBSD Linux OS X	All OS with a Java VM
Data scheme	schema-free	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.	no	yes		no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	no	yes with proprietary extensions	yes
APIs and other access methods	proprietary protocol using JSON (MongoDB compatible)	LDAP	JDBC	JDBC ODBC
Supported programming languages	Go Java JavaScript (Node.js) PHP Python	All languages with LDAP bindings	C C++ Java PHP	Java
Server-side scripts Stored procedures	no	no	no	Java Stored Procedures and User-Defined Functions
Triggers	no	yes	no hooks for callbacks inside the server can be used.	yes
Partitioning methods Methods for storing different data on different nodes	none	Sharding cell division	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	Multi-availability zones for high availability, asynchronous replication for up to 15 read replicas	yes	Multi-source replication Source-replica replication	With clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce Offers an API for user-defined Map/Reduce methods	no may be implemented via Amazon Elastic MapReduce (Amazon EMR)		no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration		Immediate Consistency
Foreign keys Referential integrity	no typically not used, however similar functionality with DBRef possible	no	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic single-document operations	Atomic execution of specific operations	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes, multi-version concurrency control (MVCC)
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
User concepts Access control	Access rights for users and roles	LDAP bind authentication	Pluggable authentication mechanisms e.g. LDAP, HTTP	fine grained access rights according to SQL-standard
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More resources
	Amazon DocumentDB	Atos Standard Common Repository	Drizzle	H2
DB-Engines blog posts			MySQL won the April ranking; did its forks follow? 1 April 2015, Paul Andlinger Has MySQL finally lost its mojo? 1 July 2013, Matthias Gelbmann show all
Recent citations in the news	A hybrid approach for homogeneous migration to an Amazon DocumentDB elastic cluster | Amazon Web Services 4 June 2024, AWS Blog Vector search for Amazon DocumentDB (with MongoDB compatibility) is now generally available | Amazon Web Services 29 November 2023, AWS Blog Use LangChain and vector search on Amazon DocumentDB to build a generative AI chatbot | Amazon Web Services 20 May 2024, AWS Blog Use headless clusters in Amazon DocumentDB for cost-effective multi-Region resiliency | Amazon Web Services 8 March 2024, AWS Blog Reduce cost and improve performance by migrating to Amazon DocumentDB 5.0 | Amazon Web Services 15 April 2024, AWS Blog provided by Google News

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