DBMS > Atos Standard Common Repository vs. gStore vs. Microsoft Azure Table Storage

System Properties Comparison Atos Standard Common Repository vs. gStore vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	gStore  Xexclude from comparison	Microsoft Azure Table Storage  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.	A Wide Column Store for rapid development using massive semi-structured datasets
Primary database model	Document store Key-value store	Graph DBMS RDF store	Wide column store
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 4.04 Rank #77   Overall #6   Wide column stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	en.gstore.cn	azure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentation		en.gstore.cn/­#/­enDocs
Developer	Atos Convergence Creators		Microsoft
Initial release	2016	2016	2012
Current release	1703	1.2, November 2023
License Commercial or Open Source	commercial	Open Source BSD	commercial
Cloud-based only Only available as a cloud service	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++
Server operating systems	Linux	Linux	hosted
Data scheme	Schema and schema-less with LDAP views	schema-free and OWL/RDFS-schema support	schema-free
Typing predefined data types such as float or date	optional	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
Secondary indexes	yes		no
SQL Support of SQL	no	no	no
APIs and other access methods	LDAP	HTTP API SPARQL 1.1	RESTful HTTP API
Supported programming languages	All languages with LDAP bindings	C++ Java JavaScript (Node.js) PHP Python	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby
Server-side scripts Stored procedures	no	yes	no
Triggers	yes		no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division		Sharding Implicit feature of the cloud service
Replication methods Methods for redundantly storing data on multiple nodes	yes		yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce Offers an API for user-defined Map/Reduce methods		no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration		Immediate Consistency
Foreign keys Referential integrity	no		no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	yes	optimistic locking
Concurrency Support for concurrent manipulation of data	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no	no
User concepts Access control	LDAP bind authentication	Users, roles and permissions, Role-Based Access Control (RBAC) supported	Access rights based on private key authentication or shared access signatures
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More resources
	Atos Standard Common Repository	gStore	Microsoft Azure Table Storage
Recent citations in the news			Working with Azure to Use and Manage Data Lakes 7 March 2024, Simplilearn How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB 9 July 2021, hackernoon.com How to use Azure Table storage in .Net 14 January 2019, InfoWorld Quick Guide to Azure Storage Pricing 16 May 2023, DevOps.com How to write data to Azure Table Store with an Azure Function 14 April 2017, Experts Exchange provided by Google News

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