DBMS > Atos Standard Common Repository vs. IBM Db2 warehouse vs. OrigoDB vs. TerarkDB

System Properties Comparison Atos Standard Common Repository vs. IBM Db2 warehouse vs. OrigoDB vs. TerarkDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	IBM Db2 warehouse formerly named IBM dashDB  Xexclude from comparison	OrigoDB  Xexclude from comparison	TerarkDB  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Cloud-based data warehousing service	A fully ACID in-memory object graph database	A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database model	Document store Key-value store	Relational DBMS	Document store Object oriented DBMS	Key-value store
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 1.37 Rank #160   Overall #74   Relational DBMS	Score 0.06 Rank #380   Overall #50   Document stores #19   Object oriented DBMS	Score 0.08 Rank #367   Overall #56   Key-value stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.ibm.com/­products/­db2/­warehouse	origodb.com	github.com/­bytedance/­terarkdb
Technical documentation			origodb.com/­docs	bytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
Developer	Atos Convergence Creators	IBM	Robert Friberg et al	ByteDance, originally Terark
Initial release	2016	2014	2009 under the name LiveDB	2016
Current release	1703
License Commercial or Open Source	commercial	commercial	Open Source	commercial restricted open source version available
Cloud-based only Only available as a cloud service	no	yes	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java		C#	C++
Server operating systems	Linux	hosted	Linux Windows
Data scheme	Schema and schema-less with LDAP views	yes	yes	schema-free
Typing predefined data types such as float or date	optional	yes	User defined using .NET types and collections	no
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 Import/export of XML data possible	no can be achieved using .NET	no
Secondary indexes	yes	yes	yes	no
SQL Support of SQL	no	yes	no	no
APIs and other access methods	LDAP	.NET Client API JDBC ODBC OLE DB	.NET Client API HTTP API LINQ	C++ API Java API
Supported programming languages	All languages with LDAP bindings	Java JavaScript (Node.js) Perl PHP Python R Ruby	.Net	C++ Java
Server-side scripts Stored procedures	no	PL/SQL, SQL PL	yes	no
Triggers	yes	yes	yes Domain Events	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	horizontal partitioning client side managed; servers are not synchronized	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes	Source-replica replication	none
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency
Foreign keys Referential integrity	no	yes	depending on model	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	ACID	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	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
User concepts Access control	LDAP bind authentication	fine grained access rights according to SQL-standard	Role based authorization	no
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More resources
	Atos Standard Common Repository	IBM Db2 warehouse formerly named IBM dashDB	OrigoDB	TerarkDB
Recent citations in the news		Announcing the deprecation of prior generation Db2 Warehouse plans on AWS 16 October 2023, ibm.com Introducing the next generation of Db2 Warehouse: Our cost-effective, cloud-native data warehouse built for always-on ... 11 July 2023, ibm.com Data Mining in Db2 Warehouse: the basics 23 June 2020, Towards Data Science Db2 Warehouse delivers 4x faster query performance than previously, while cutting storage costs by 34x 11 July 2023, ibm.com Top 7 Cloud Data Warehouse Companies 31 May 2023, Datamation provided by Google News		A Chinese company is making the cloud 200x faster · TechNode 3 July 2017, TechNode provided by Google News

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