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

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

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	DolphinDB  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	DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.	A multi-model DBMS and application server	Performant, highly scalable DBMS for AI and IoT applications
Primary database model	Document store Key-value store	Time Series DBMS	Key-value store Object oriented DBMS Relational DBMS	Key-value store Vector DBMS
Secondary database models		Relational DBMS	Document store
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 4.03 Rank #78   Overall #6   Time Series DBMS		Score 0.06 Rank #381   Overall #59   Key-value stores #13   Vector DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.dolphindb.com	www.intersystems.com/­products/­cache	www.jaguardb.com
Technical documentation		docs.dolphindb.cn/­en/­help200/­index.html	docs.intersystems.com	www.jaguardb.com/­support.html
Developer	Atos Convergence Creators	DolphinDB, Inc	InterSystems	DataJaguar, Inc.
Initial release	2016	2018	1997	2015
Current release	1703	v2.00.4, January 2022	2018.1.4, May 2020	3.3 July 2023
License Commercial or Open Source	commercial	commercial free community version available	commercial	Open Source GPL V3.0
Cloud-based only Only available as a cloud service	no	no	no	no
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Implementation language	Java	C++		C++ the server part. Clients available in other languages
Server operating systems	Linux	Linux Windows	AIX HP Open VMS HP-UX Linux OS X Solaris Windows	Linux
Data scheme	Schema and schema-less with LDAP views	yes	depending on used data model	yes
Typing predefined data types such as float or date	optional	yes	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	yes	yes	yes
SQL Support of SQL	no	SQL-like query language	yes	A subset of ANSI SQL is implemented but no views, foreign keys, triggers
APIs and other access methods	LDAP	JDBC JSON over HTTP Kafka MQTT (Message Queue Telemetry Transport) ODBC OPC DA OPC UA RabbitMQ WebSocket	.NET Client API JDBC ODBC RESTful HTTP API	JDBC ODBC
Supported programming languages	All languages with LDAP bindings	C# C++ Go Java JavaScript MatLab Python R Rust	C# C++ Java	C C++ Go Java JavaScript (Node.js) PHP Python Ruby Scala
Server-side scripts Stored procedures	no	yes	yes	no
Triggers	yes	no	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	horizontal partitioning	none	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes	Source-replica replication	Multi-source replication
MapReduce Offers an API for user-defined Map/Reduce methods		yes	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Immediate Consistency	Eventual Consistency
Foreign keys Referential integrity	no	no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	yes	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	yes	yes	no
User concepts Access control	LDAP bind authentication	Administrators, Users, Groups	Access rights for users, groups and roles	rights management via user accounts
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More resources
	Atos Standard Common Repository	DolphinDB	InterSystems Caché	JaguarDB
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