DBMS > Atos Standard Common Repository vs. Bangdb vs. Microsoft Azure AI Search vs. mSQL

System Properties Comparison Atos Standard Common Repository vs. Bangdb vs. Microsoft Azure AI Search vs. mSQL

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Bangdb  Xexclude from comparison	Microsoft Azure AI Search  Xexclude from comparison	mSQL Mini SQL  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	Converged and high performance database for device data, events, time series, document and graph	Search-as-a-service for web and mobile app development	mSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database model	Document store Key-value store	Document store Graph DBMS Time Series DBMS	Search engine	Relational DBMS
Secondary database models		Spatial DBMS	Vector DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.16 Rank #338   Overall #47   Document stores #32   Graph DBMS #31   Time Series DBMS	Score 5.52 Rank #59   Overall #6   Search engines	Score 1.27 Rank #169   Overall #76   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	bangdb.com	azure.microsoft.com/­en-us/­services/­search	hughestech.com.au/­products/­msql
Technical documentation		docs.bangdb.com	learn.microsoft.com/­en-us/­azure/­search
Developer	Atos Convergence Creators	Sachin Sinha, BangDB	Microsoft	Hughes Technologies
Initial release	2016	2012	2015	1994
Current release	1703	BangDB 2.0, October 2021	V1	4.4, October 2021
License Commercial or Open Source	commercial	Open Source BSD 3	commercial	commercial free licenses can be provided
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	C, C++		C
Server operating systems	Linux	Linux	hosted	AIX HP-UX Linux OS X Solaris SPARC/x86 Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	yes	yes
Typing predefined data types such as float or date	optional	yes: string, long, double, int, geospatial, stream, events	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	no
Secondary indexes	yes	yes secondary, composite, nested, reverse, geospatial	yes	yes
SQL Support of SQL	no	SQL like support with command line tool	no	A subset of ANSI SQL is implemented no subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methods	LDAP	Proprietary protocol RESTful HTTP API	RESTful HTTP API	JDBC ODBC
Supported programming languages	All languages with LDAP bindings	C C# C++ Java Python	C# Java JavaScript Python	C C++ Delphi Java Perl PHP Tcl
Server-side scripts Stored procedures	no	no	no	no
Triggers	yes	yes, Notifications (with Streaming only)	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm	Sharding Implicit feature of the cloud service	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor, Knob for CAP (enterprise version only)	yes Implicit feature of the cloud service	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	Tunable consistency, set CAP knob accordingly	Immediate Consistency	none
Foreign keys Referential integrity	no	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	no	no
Concurrency Support for concurrent manipulation of data	yes	yes, optimistic concurrency control	yes	no
Durability Support for making data persistent	yes	yes, implements WAL (Write ahead log) as well	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes, run db with in-memory only mode	no	no
User concepts Access control	LDAP bind authentication	yes (enterprise version only)	yes using Azure authentication	no
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More resources
	Atos Standard Common Repository	Bangdb	Microsoft Azure AI Search	mSQL Mini SQL
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