DBMS > Atos Standard Common Repository vs. MarkLogic vs. Microsoft Azure AI Search vs. Transwarp ArgoDB

System Properties Comparison Atos Standard Common Repository vs. MarkLogic vs. Microsoft Azure AI Search vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	MarkLogic  Xexclude from comparison	Microsoft Azure AI Search  Xexclude from comparison	Transwarp ArgoDB  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	Operational and transactional Enterprise NoSQL database	Search-as-a-service for web and mobile app development	Distributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database model	Document store Key-value store	Document store Native XML DBMS RDF store as of version 7 Search engine	Search engine	Relational DBMS
Secondary database models			Vector DBMS	Search engine
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 5.18 Rank #63   Overall #11   Document stores #1   Native XML DBMS #1   RDF stores #7   Search engines	Score 5.52 Rank #59   Overall #6   Search engines	Score 0.12 Rank #348   Overall #151   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.progress.com/­marklogic	azure.microsoft.com/­en-us/­services/­search	www.transwarp.cn/­en/­product/­argodb
Technical documentation		www.progress.com/­marklogic/­documentation	learn.microsoft.com/­en-us/­azure/­search	docs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
Developer	Atos Convergence Creators	MarkLogic Corp.	Microsoft	Transwarp
Initial release	2016	2001	2015
Current release	1703	11.0, December 2022	V1
License Commercial or Open Source	commercial	commercial restricted free version is available	commercial	commercial
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++
Server operating systems	Linux	Linux OS X Windows	hosted
Data scheme	Schema and schema-less with LDAP views	schema-free Schema can be enforced	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	yes	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	yes SQL92	no	yes
APIs and other access methods	LDAP	Java API Node.js Client API ODBC proprietary Optic API Proprietary Query API, introduced with version 9 RESTful HTTP API SPARQL WebDAV XDBC XQuery XSLT	RESTful HTTP API
Supported programming languages	All languages with LDAP bindings	C C# C++ Java JavaScript (Node.js) Perl PHP Python Ruby	C# Java JavaScript Python
Server-side scripts Stored procedures	no	yes via XQuery or JavaScript	no
Triggers	yes	yes	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	yes	yes Implicit feature of the cloud service
MapReduce Offers an API for user-defined Map/Reduce methods		yes via Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate 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	ACID can act as a resource manager in an XA/JTA transaction	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	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	yes, with Range Indexes	no
User concepts Access control	LDAP bind authentication	Role-based access control at the document and subdocument levels	yes using Azure authentication
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More resources
	Atos Standard Common Repository	MarkLogic	Microsoft Azure AI Search	Transwarp ArgoDB
Recent citations in the news		MarkLogic “The NoSQL Database”. In the MarkLogic Query Console, you can… | by Abhay Srivastava | Apr, 2024 22 April 2024, Medium Database Platform to Simplify Complex Data | Progress Marklogic 7 February 2023, Progress Software AI can make logistics data as valuable as intelligence or operational data for mission success 17 April 2024, Breaking Defense Seven Quick Steps to Setting Up MarkLogic Server in Kubernetes 1 February 2024, release.nl Intelligence for multi-domain warfighters can now be sourced from logistics operations 13 May 2024, Breaking Defense 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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