DBMS > Atos Standard Common Repository vs. BigchainDB vs. InfinityDB vs. Linter

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. InfinityDB vs. Linter

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	BigchainDB  Xexclude from comparison	InfinityDB  Xexclude from comparison	Linter  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	BigchainDB is scalable blockchain database offering decentralization, immutability and native assets	A Java embedded Key-Value Store which extends the Java Map interface	RDBMS for high security requirements
Primary database model	Document store Key-value store	Document store	Key-value store	Relational DBMS
Secondary database models				Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.85 Rank #208   Overall #35   Document stores	Score 0.08 Rank #365   Overall #55   Key-value stores	Score 0.12 Rank #350   Overall #152   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.bigchaindb.com	boilerbay.com	linter.ru
Technical documentation		bigchaindb.readthedocs.io/­en/­latest	boilerbay.com/­infinitydb/­manual
Developer	Atos Convergence Creators		Boiler Bay Inc.	relex.ru
Initial release	2016	2016	2002	1990
Current release	1703		4.0
License Commercial or Open Source	commercial	Open Source AGPL v3	commercial	commercial
Cloud-based only Only available as a cloud service	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	Python	Java	C and C++
Server operating systems	Linux	Linux	All OS with a Java VM	AIX Android BSD HP Open VMS iOS Linux OS X VxWorks Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade	yes
Typing predefined data types such as float or date	optional	no	yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays	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
Secondary indexes	yes		no manual creation possible, using inversions based on multi-value capability	yes
SQL Support of SQL	no	no	no	yes
APIs and other access methods	LDAP	CLI Client RESTful HTTP API	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)	ADO.NET JDBC LINQ ODBC OLE DB Oracle Call Interface (OCI)
Supported programming languages	All languages with LDAP bindings	Go Haskell Java JavaScript Python Ruby	Java	C C# C++ Java Perl PHP Python Qt Ruby Tcl
Server-side scripts Stored procedures	no		no	yes proprietary syntax with the possibility to convert from PL/SQL
Triggers	yes		no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	none	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor	none	Source-replica replication
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 READ-COMMITTED or SERIALIZED	Immediate Consistency
Foreign keys Referential integrity	no	no	no manual creation possible, using inversions based on multi-value capability	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations		ACID Optimistic locking for transactions; no isolation for bulk loads	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes,with MongoDB ord RethinkDB	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes		no
User concepts Access control	LDAP bind authentication	yes	no	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	BigchainDB	InfinityDB	Linter
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News	Using BigchainDB: A Database with Blockchain Characteristics 20 January 2022, Open Source For You Blockchain Database Startup BigchainDB Raises €3 Million 27 September 2016, CoinDesk Exploring the 10 BEST Python Libraries for Blockchain Applications 9 September 2023, DataDrivenInvestor ascribe announces scalable blockchain database BigchainDB - CoinReport 13 February 2016, CoinReport 7 blockchain firms join Bosch led GAIA-X consortium for vehicle identity - Ledger Insights 13 September 2022, Ledger Insights provided by Google News

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