DBMS > Atos Standard Common Repository vs. Galaxybase vs. Microsoft Azure AI Search vs. Teradata Aster

System Properties Comparison Atos Standard Common Repository vs. Galaxybase vs. Microsoft Azure AI Search vs. Teradata Aster

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Galaxybase  Xexclude from comparison	Microsoft Azure AI Search  Xexclude from comparison	Teradata Aster  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.			Teradata Aster has been integrated into other Teradata systems and therefore 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	Scalable, ACID-compliant native distributed parallel graph platform	Search-as-a-service for web and mobile app development	Platform for big data analytics on multistructured data sources and types
Primary database model	Document store Key-value store	Graph DBMS	Search engine	Relational DBMS
Secondary database models			Vector DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.07 Rank #377   Overall #40   Graph DBMS	Score 5.52 Rank #59   Overall #6   Search engines
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	galaxybase.com	azure.microsoft.com/­en-us/­services/­search
Technical documentation			learn.microsoft.com/­en-us/­azure/­search
Developer	Atos Convergence Creators	Chuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司	Microsoft	Teradata
Initial release	2016	2017	2015	2005
Current release	1703	Nov 20, November 2021	V1
License Commercial or Open Source	commercial	commercial	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 and Java
Server operating systems	Linux	Linux	hosted	Linux
Data scheme	Schema and schema-less with LDAP views	Strong typed schema	yes	Flexible Schema (defined schema, partial schema, schema free) defined schema within the relational store; partial schema or schema free in the Aster File Store
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	yes in Aster File Store
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	no	no	yes
APIs and other access methods	LDAP	Browser interface console (shell) Graph API (Gremlin) OpenCypher Proprietary native API	RESTful HTTP API	ADO.NET JDBC ODBC OLE DB
Supported programming languages	All languages with LDAP bindings	Go Java Python	C# Java JavaScript Python	C C# C++ Java Python R
Server-side scripts Stored procedures	no	user defined procedures and functions	no	R packages
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	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes		yes Implicit feature of the cloud service	yes Dimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	yes SQL Map-Reduce Framework
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys Referential integrity	no	yes Relationships in graphs	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	no	ACID
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	no	no
User concepts Access control	LDAP bind authentication	Role-based access control	yes using Azure authentication	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	Galaxybase	Microsoft Azure AI Search	Teradata Aster
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	Teradata Enhances Big Data Analytics Platform 31 May 2024, Data Center Knowledge Northwestern Analytics Partners with Teradata Aster to Host Hackathon 23 May 2014, Northwestern Engineering Teradata Provides the Simplest Way to Bring the Science of Data to the Art of Business 22 September 2011, PR Newswire Teradata's Aster shows how the flowers of fraud bloom 23 April 2015, The Register Teradata unveils improved QueryGrid connectors 21 April 2015, CIO provided by Google News

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