DBMS > Atos Standard Common Repository vs. BigObject vs. H2 vs. OrigoDB vs. SAP Advantage Database Server

System Properties Comparison Atos Standard Common Repository vs. BigObject vs. H2 vs. OrigoDB vs. SAP Advantage Database Server

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	BigObject  Xexclude from comparison	H2  Xexclude from comparison	OrigoDB  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.				SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Analytic DBMS for real-time computations and queries	Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.	A fully ACID in-memory object graph database	Low-cost RDBMS with access to ISAM and FoxPro data structures
Primary database model	Document store Key-value store	Relational DBMS a hierachical model (tree) can be imposed	Relational DBMS	Document store Object oriented DBMS	Relational DBMS
Secondary database models			Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.19 Rank #329   Overall #146   Relational DBMS	Score 8.33 Rank #46   Overall #30   Relational DBMS	Score 0.06 Rank #380   Overall #50   Document stores #18   Object oriented DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	bigobject.io	www.h2database.com	origodb.com	www.sap.com/products/advantage-database-server.html
Technical documentation		docs.bigobject.io	www.h2database.com/­html/­main.html	origodb.com/­docs
Developer	Atos Convergence Creators	BigObject, Inc.	Thomas Mueller	Robert Friberg et al	Sybase, SAP
Initial release	2016	2015	2005	2009 under the name LiveDB	1993
Current release	1703		2.2.220, July 2023
License Commercial or Open Source	commercial	commercial free community edition available	Open Source dual-licence (Mozilla public license, Eclipse public license)	Open Source	commercial
Cloud-based only Only available as a cloud service	no	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	Linux	Linux distributed as a docker-image OS X distributed as a docker-image (boot2docker) Windows distributed as a docker-image (boot2docker)	All OS with a Java VM	Linux Windows	Linux Windows
Data scheme	Schema and schema-less with LDAP views	yes	yes	yes	yes
Typing predefined data types such as float or date	optional	yes	yes	User defined using .NET types and collections	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	no	no	no can be achieved using .NET	no
Secondary indexes	yes	yes	yes	yes	yes
SQL Support of SQL	no	SQL-like DML and DDL statements	yes	no	yes
APIs and other access methods	LDAP	fluentd ODBC RESTful HTTP API	JDBC ODBC	.NET Client API HTTP API LINQ	.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages	All languages with LDAP bindings		Java	.Net	Delphi Perl PHP
Server-side scripts Stored procedures	no	Lua	Java Stored Procedures and User-Defined Functions	yes	yes
Triggers	yes	no	yes	yes Domain Events	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	none	horizontal partitioning client side managed; servers are not synchronized	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	none	With clustering: 2 database servers on different computers operate on identical copies of a database	Source-replica replication	Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	none	Immediate Consistency		Immediate Consistency
Foreign keys Referential integrity	no	yes automatically between fact table and dimension tables	yes	depending on model	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes Read/write lock on objects (tables, trees)	yes, multi-version concurrency control (MVCC)	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes Write ahead log	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes	yes	yes	no caching of (temporary) tables can be configured
User concepts Access control	LDAP bind authentication	no	fine grained access rights according to SQL-standard	Role based authorization	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	BigObject	H2	OrigoDB	SAP Advantage Database Server former name: Sybase ADS
Recent citations in the news					SAP Announces Q3 2023 Results: Asia Pacific and Japan View 19 October 2023, SAP News provided by Google News

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