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

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

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Bangdb  Xexclude from comparison	ITTIA  Xexclude from comparison	Microsoft Azure AI Search  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	Edge Time Series DBMS with Real-Time Stream Processing	Search-as-a-service for web and mobile app development
Primary database model	Document store Key-value store	Document store Graph DBMS Time Series DBMS	Time Series DBMS	Search engine
Secondary database models		Spatial DBMS	Relational 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 0.44 Rank #267   Overall #23   Time Series DBMS	Score 5.52 Rank #59   Overall #6   Search engines
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	bangdb.com	www.ittia.com	azure.microsoft.com/­en-us/­services/­search
Technical documentation		docs.bangdb.com		learn.microsoft.com/­en-us/­azure/­search
Developer	Atos Convergence Creators	Sachin Sinha, BangDB	ITTIA L.L.C.	Microsoft
Initial release	2016	2012	2007	2015
Current release	1703	BangDB 2.0, October 2021	8.7	V1
License Commercial or Open Source	commercial	Open Source BSD 3	commercial	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++	C and C++
Server operating systems	Linux	Linux	Linux Windows	hosted
Data scheme	Schema and schema-less with LDAP views	schema-free	Fixed schema	yes
Typing predefined data types such as float or date	optional	yes: string, long, double, int, geospatial, stream, events	Float/Blob/Integer/String/Unicode/Date/Time/Timestamp/Interval	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	yes	no
APIs and other access methods	LDAP	Proprietary protocol RESTful HTTP API	JDBC ODBC RESTful HTTP API WebSocket	RESTful HTTP API
Supported programming languages	All languages with LDAP bindings	C C# C++ Java Python	C C++ JavaScript (Node.js) Python	C# Java JavaScript Python
Server-side scripts Stored procedures	no	no	yes	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
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor, Knob for CAP (enterprise version only)	yes	yes Implicit feature of the cloud service
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
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	ACID	yes	no
Concurrency Support for concurrent manipulation of data	yes	yes, optimistic concurrency control	yes, multi-version concurrency control (MVCC)	yes
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	yes	no
User concepts Access control	LDAP bind authentication	yes (enterprise version only)	Database file passwords	yes using Azure authentication
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More resources
	Atos Standard Common Repository	Bangdb	ITTIA	Microsoft Azure AI Search
Recent citations in the news			Embedded secured data base for STM32 MCUs 16 October 2023, Electronics Weekly ITTIA Embedded Time Series Database to Support STM32 Edge Devices 8 April 2022, Embedded Computing Design Free Healthcare Data for Use with Maptitude 2019 Mapping Software - GIS user technology news 20 September 2019, GISuser.com provided by Google News	Announcing updates to Azure AI Search to help organizations build and scale generative AI applications 4 April 2024, Microsoft Microsoft and ServiceNow at Knowledge 2024: Introducing generative AI innovation 13 June 2024, Microsoft Azure OpenAI Service: Transforming legal practices with generative AI solutions 12 June 2024, Microsoft Public Preview of Azure OpenAI and AI Search in-app connectors for Logic Apps (Standard) | Azure updates 2 April 2024, Microsoft Raise the bar on AI-powered app development with Azure Database for PostgreSQL 5 June 2024, Microsoft provided by Google News

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