DBMS > Atos Standard Common Repository vs. Hyprcubd vs. Microsoft Azure AI Search vs. YottaDB

System Properties Comparison Atos Standard Common Repository vs. Hyprcubd vs. Microsoft Azure AI Search vs. YottaDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Hyprcubd  Xexclude from comparison	Microsoft Azure AI Search  Xexclude from comparison	YottaDB  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.	Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Serverless Time Series DBMS	Search-as-a-service for web and mobile app development	A fast and solid embedded Key-value store
Primary database model	Document store Key-value store	Time Series DBMS	Search engine	Key-value store
Secondary database models			Vector DBMS	Relational DBMS using the Octo plugin
DB-Engines Ranking measures the popularity of database management systems Trend Chart			Score 5.52 Rank #59   Overall #6   Search engines	Score 0.28 Rank #306   Overall #44   Key-value stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	hyprcubd.com (offline)	azure.microsoft.com/­en-us/­services/­search	yottadb.com
Technical documentation			learn.microsoft.com/­en-us/­azure/­search	yottadb.com/­resources/­documentation
Developer	Atos Convergence Creators	Hyprcubd, Inc.	Microsoft	YottaDB, LLC
Initial release	2016		2015	2001
Current release	1703		V1
License Commercial or Open Source	commercial	commercial	commercial	Open Source AGPL 3.0
Cloud-based only Only available as a cloud service	no	yes	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Go		C
Server operating systems	Linux	hosted	hosted	Docker Linux
Data scheme	Schema and schema-less with LDAP views	yes	yes	schema-free
Typing predefined data types such as float or date	optional	yes time, int, uint, float, string	yes	no
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	no
SQL Support of SQL	no	SQL-like query language	no	by using the Octo plugin
APIs and other access methods	LDAP	gRPC (https)	RESTful HTTP API	PostgreSQL wire protocol using the Octo plugin Proprietary protocol
Supported programming languages	All languages with LDAP bindings		C# Java JavaScript Python	C Go JavaScript (Node.js) Lua M Perl Python Rust
Server-side scripts Stored procedures	no	no	no
Triggers	yes	no	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	yes
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	no	no	optimistic locking
Concurrency Support for concurrent manipulation of data	yes	no	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	no	no	yes
User concepts Access control	LDAP bind authentication	token access	yes using Azure authentication	Users and groups based on OS-security mechanisms
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More resources
	Atos Standard Common Repository	Hyprcubd	Microsoft Azure AI Search	YottaDB
Recent citations in the 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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