DBMS > Amazon DocumentDB vs. Atos Standard Common Repository vs. H2GIS vs. TimesTen vs. Transwarp Hippo

System Properties Comparison Amazon DocumentDB vs. Atos Standard Common Repository vs. H2GIS vs. TimesTen vs. Transwarp Hippo

Editorial information provided by DB-Engines
Name	Amazon DocumentDB  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	H2GIS  Xexclude from comparison	TimesTen  Xexclude from comparison	Transwarp Hippo  Xexclude from comparison
		This system has been discontinued and will be removed 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	Spatial extension of H2	In-Memory RDBMS compatible to Oracle	Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database model	Document store	Document store Key-value store	Spatial DBMS	Relational DBMS	Vector DBMS
Secondary database models			Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 1.91 Rank #131   Overall #24   Document stores		Score 0.08 Rank #368   Overall #7   Spatial DBMS	Score 1.36 Rank #161   Overall #75   Relational DBMS	Score 0.05 Rank #386   Overall #14   Vector DBMS
Website	aws.amazon.com/­documentdb	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.h2gis.org	www.oracle.com/­database/­technologies/­related/­timesten.html	www.transwarp.cn/­en/­subproduct/­hippo
Technical documentation	aws.amazon.com/­documentdb/­resources		www.h2gis.org/­docs/­home	docs.oracle.com/­database/­timesten-18.1
Developer		Atos Convergence Creators	CNRS	Oracle, TimesTen Performance Software, HP originally founded in HP Labs it was acquired by Oracle in 2005
Initial release	2019	2016	2013	1998	2023
Current release		1703		11 Release 2 (11.2.2.8.0)	1.0, May 2023
License Commercial or Open Source	commercial	commercial	Open Source LGPL 3.0	commercial	commercial
Cloud-based only Only available as a cloud service	yes	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		Java	Java		C++
Server operating systems	hosted	Linux		AIX HP-UX Linux OS X Solaris SPARC/x86 Windows	Linux macOS
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	Vector, Numeric and String
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	no	no
Secondary indexes	yes	yes	yes	yes	no
SQL Support of SQL	no	no	yes	yes	no
APIs and other access methods	proprietary protocol using JSON (MongoDB compatible)	LDAP		JDBC ODBC ODP.NET Oracle Call Interface (OCI)	RESTful HTTP API
Supported programming languages	Go Java JavaScript (Node.js) PHP Python	All languages with LDAP bindings	Java	C C++ Java PL/SQL	C++ Java Python
Server-side scripts Stored procedures	no	no	yes based on H2	PL/SQL	no
Triggers	no	yes	yes	no	no
Partitioning methods Methods for storing different data on different nodes	none	Sharding cell division	none	none	Sharding
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	yes based on H2	Multi-source replication Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no may be implemented via Amazon Elastic MapReduce (Amazon EMR)		no	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 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	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic single-document operations	Atomic execution of specific operations	ACID	ACID	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes, multi-version concurrency control (MVCC)	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes by means of logfiles and checkpoints	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		yes	yes	yes	yes
User concepts Access control	Access rights for users and roles	LDAP bind authentication	yes based on H2	fine grained access rights according to SQL-standard	Role based access control and fine grained access rights
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More resources
	Amazon DocumentDB	Atos Standard Common Repository	H2GIS	TimesTen	Transwarp Hippo
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 AWS announces Amazon DocumentDB zero-ETL integration with Amazon OpenSearch Service 16 May 2024, AWS Blog Use LangChain and vector search on Amazon DocumentDB to build a generative AI chatbot | Amazon Web Services 20 May 2024, AWS Blog Vector search for Amazon DocumentDB (with MongoDB compatibility) is now generally available | Amazon Web Services 29 November 2023, AWS Blog AWS announces vector search for Amazon DocumentDB 29 November 2023, AWS Blog provided by Google News	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News

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