DBMS > Atos Standard Common Repository vs. InfinityDB vs. InterSystems Caché vs. JaguarDB

System Properties Comparison Atos Standard Common Repository vs. InfinityDB vs. InterSystems Caché vs. JaguarDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	InfinityDB  Xexclude from comparison	InterSystems Caché  Xexclude from comparison	JaguarDB  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.		Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	A Java embedded Key-Value Store which extends the Java Map interface	A multi-model DBMS and application server	Performant, highly scalable DBMS for AI and IoT applications
Primary database model	Document store Key-value store	Key-value store	Key-value store Object oriented DBMS Relational DBMS	Key-value store Vector DBMS
Secondary database models			Document store
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.08 Rank #365   Overall #55   Key-value stores		Score 0.06 Rank #381   Overall #59   Key-value stores #13   Vector DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	boilerbay.com	www.intersystems.com/­products/­cache	www.jaguardb.com
Technical documentation		boilerbay.com/­infinitydb/­manual	docs.intersystems.com	www.jaguardb.com/­support.html
Developer	Atos Convergence Creators	Boiler Bay Inc.	InterSystems	DataJaguar, Inc.
Initial release	2016	2002	1997	2015
Current release	1703	4.0	2018.1.4, May 2020	3.3 July 2023
License Commercial or Open Source	commercial	commercial	commercial	Open Source GPL V3.0
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	Java		C++ the server part. Clients available in other languages
Server operating systems	Linux	All OS with a Java VM	AIX HP Open VMS HP-UX Linux OS X Solaris Windows	Linux
Data scheme	Schema and schema-less with LDAP views	yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade	depending on used data model	yes
Typing predefined data types such as float or date	optional	yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays	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.	yes	no	yes	no
Secondary indexes	yes	no manual creation possible, using inversions based on multi-value capability	yes	yes
SQL Support of SQL	no	no	yes	A subset of ANSI SQL is implemented but no views, foreign keys, triggers
APIs and other access methods	LDAP	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)	.NET Client API JDBC ODBC RESTful HTTP API	JDBC ODBC
Supported programming languages	All languages with LDAP bindings	Java	C# C++ Java	C C++ Go Java JavaScript (Node.js) PHP Python Ruby Scala
Server-side scripts Stored procedures	no	no	yes	no
Triggers	yes	no	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	none	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	none	Source-replica replication	Multi-source 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	Eventual Consistency
Foreign keys Referential integrity	no	no manual creation possible, using inversions based on multi-value capability	yes	no
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	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
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	no	yes	no
User concepts Access control	LDAP bind authentication	no	Access rights for users, groups and roles	rights management via user accounts
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More resources
	Atos Standard Common Repository	InfinityDB	InterSystems Caché	JaguarDB
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