DBMS > Atos Standard Common Repository vs. DolphinDB vs. Drizzle vs. IBM Db2 warehouse

System Properties Comparison Atos Standard Common Repository vs. DolphinDB vs. Drizzle vs. IBM Db2 warehouse

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	DolphinDB  Xexclude from comparison	Drizzle  Xexclude from comparison	IBM Db2 warehouse formerly named IBM dashDB  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.		Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded 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.	MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.	Cloud-based data warehousing service
Primary database model	Document store Key-value store	Time Series DBMS	Relational DBMS	Relational DBMS
Secondary database models		Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 4.03 Rank #78   Overall #6   Time Series DBMS		Score 1.37 Rank #160   Overall #74   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.dolphindb.com		www.ibm.com/­products/­db2/­warehouse
Technical documentation		docs.dolphindb.cn/­en/­help200/­index.html
Developer	Atos Convergence Creators	DolphinDB, Inc	Drizzle project, originally started by Brian Aker	IBM
Initial release	2016	2018	2008	2014
Current release	1703	v2.00.4, January 2022	7.2.4, September 2012
License Commercial or Open Source	commercial	commercial free community version available	Open Source GNU GPL	commercial
Cloud-based only Only available as a cloud service	no	no	no	yes
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	Linux Windows	FreeBSD Linux OS X	hosted
Data scheme	Schema and schema-less with LDAP views	yes	yes	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		no Import/export of XML data possible
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	SQL-like query language	yes with proprietary extensions	yes
APIs and other access methods	LDAP	JDBC JSON over HTTP Kafka MQTT (Message Queue Telemetry Transport) ODBC OPC DA OPC UA RabbitMQ WebSocket	JDBC	.NET Client API JDBC ODBC OLE DB
Supported programming languages	All languages with LDAP bindings	C# C++ Go Java JavaScript MatLab Python R Rust	C C++ Java PHP	Java JavaScript (Node.js) Perl PHP Python R Ruby
Server-side scripts Stored procedures	no	yes	no	PL/SQL, SQL PL
Triggers	yes	no	no hooks for callbacks inside the server can be used.	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	horizontal partitioning	Sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes	Multi-source replication Source-replica replication	yes
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
Foreign keys Referential integrity	no	no	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	yes	ACID	ACID
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
User concepts Access control	LDAP bind authentication	Administrators, Users, Groups	Pluggable authentication mechanisms e.g. LDAP, HTTP	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	DolphinDB	Drizzle	IBM Db2 warehouse formerly named IBM dashDB
DB-Engines blog posts			MySQL won the April ranking; did its forks follow? 1 April 2015, Paul Andlinger Has MySQL finally lost its mojo? 1 July 2013, Matthias Gelbmann show all
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News			Announcing the deprecation of prior generation Db2 Warehouse plans on AWS 16 October 2023, IBM Introducing the next generation of Db2 Warehouse: Our cost-effective, cloud-native data warehouse built for always-on ... 11 July 2023, IBM Db2 Warehouse delivers 4x faster query performance than previously, while cutting storage costs by 34x 11 July 2023, IBM Data mining in Db2 Warehouse: the basics 23 June 2020, Towards Data Science Top 7 Cloud Data Warehouse Companies 31 May 2023, Datamation provided by Google News

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