DBMS > Atos Standard Common Repository vs. gStore vs. IBM Db2 Event Store vs. Microsoft Azure AI Search

System Properties Comparison Atos Standard Common Repository vs. gStore vs. IBM Db2 Event Store vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	gStore  Xexclude from comparison	IBM Db2 Event Store  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	A native Graph DBMS to store and maintain very large RDF datasets.	Distributed Event Store optimized for Internet of Things use cases	Search-as-a-service for web and mobile app development
Primary database model	Document store Key-value store	Graph DBMS RDF store	Event Store Time Series DBMS	Search engine
Secondary database models				Vector DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.14 Rank #342   Overall #34   Graph DBMS #16   RDF stores	Score 0.27 Rank #309   Overall #2   Event Stores #28   Time Series DBMS	Score 5.52 Rank #59   Overall #6   Search engines
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	en.gstore.cn	www.ibm.com/­products/­db2-event-store	azure.microsoft.com/­en-us/­services/­search
Technical documentation		en.gstore.cn/­#/­enDocs	www.ibm.com/­docs/­en/­db2-event-store	learn.microsoft.com/­en-us/­azure/­search
Developer	Atos Convergence Creators		IBM	Microsoft
Initial release	2016	2016	2017	2015
Current release	1703	1.2, November 2023	2.0	V1
License Commercial or Open Source	commercial	Open Source BSD	commercial free developer edition available	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 and C++
Server operating systems	Linux	Linux	Linux Linux, macOS, Windows for the developer addition	hosted
Data scheme	Schema and schema-less with LDAP views	schema-free and OWL/RDFS-schema support	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	no
Secondary indexes	yes		no	yes
SQL Support of SQL	no	no	yes through the embedded Spark runtime	no
APIs and other access methods	LDAP	HTTP API SPARQL 1.1	ADO.NET DB2 Connect JDBC ODBC RESTful HTTP API	RESTful HTTP API
Supported programming languages	All languages with LDAP bindings	C++ Java JavaScript (Node.js) PHP Python	C C# C++ Cobol Delphi Fortran Go Java JavaScript (Node.js) Perl PHP Python R Ruby Scala Visual Basic	C# Java JavaScript Python
Server-side scripts Stored procedures	no	yes	yes	no
Triggers	yes		no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division		Sharding	Sharding Implicit feature of the cloud service
Replication methods Methods for redundantly storing data on multiple nodes	yes		Active-active shard replication	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		Eventual Consistency	Immediate Consistency
Foreign keys Referential integrity	no		no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	yes	no	no
Concurrency Support for concurrent manipulation of data	yes	yes	No - written data is immutable	yes
Durability Support for making data persistent	yes	yes	Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage	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	Users, roles and permissions, Role-Based Access Control (RBAC) supported	fine grained access rights according to SQL-standard	yes using Azure authentication
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More resources
	Atos Standard Common Repository	gStore	IBM Db2 Event Store	Microsoft Azure AI Search
Recent citations in the news			Advancements in streaming data storage, real-time analysis and machine learning 25 July 2019, ibm.com How IBM Is Turning Db2 into an ‘AI Database’ 3 June 2019, Datanami Best cloud databases of 2022 4 October 2022, ITPro Why a robust data management strategy is essential today | IBM HDM 19 September 2019, Express Computer 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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