DBMS > Atos Standard Common Repository vs. EXASOL vs. Microsoft Azure AI Search vs. Transwarp Hippo

System Properties Comparison Atos Standard Common Repository vs. EXASOL vs. Microsoft Azure AI Search vs. Transwarp Hippo

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	EXASOL  Xexclude from comparison	Microsoft Azure AI Search  Xexclude from comparison	Transwarp Hippo  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	High-performance, in-memory, MPP database specifically designed for in-memory analytics.	Search-as-a-service for web and mobile app development	Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database model	Document store Key-value store	Relational DBMS	Search engine	Vector DBMS
Secondary database models			Vector DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 1.76 Rank #139   Overall #62   Relational DBMS	Score 5.52 Rank #59   Overall #6   Search engines	Score 0.05 Rank #386   Overall #16   Vector DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.exasol.com	azure.microsoft.com/­en-us/­services/­search	www.transwarp.cn/­en/­subproduct/­hippo
Technical documentation		www.exasol.com/­resources	learn.microsoft.com/­en-us/­azure/­search
Developer	Atos Convergence Creators	Exasol	Microsoft
Initial release	2016	2000	2015	2023
Current release	1703		V1	1.0, May 2023
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++
Server operating systems	Linux		hosted	Linux macOS
Data scheme	Schema and schema-less with LDAP views	yes	yes
Typing predefined data types such as float or date	optional	yes	yes	Vector, Numeric and String
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	yes	yes	no
SQL Support of SQL	no	yes	no	no
APIs and other access methods	LDAP	.Net JDBC ODBC WebSocket	RESTful HTTP API	RESTful HTTP API
Supported programming languages	All languages with LDAP bindings	Java Lua Python R	C# Java JavaScript Python	C++ Java Python
Server-side scripts Stored procedures	no	user defined functions	no	no
Triggers	yes	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
MapReduce Offers an API for user-defined Map/Reduce methods		yes Hadoop integration	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	yes	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	no	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	no	yes
User concepts Access control	LDAP bind authentication	Access rights for users, groups and roles according to SQL-standard	yes using Azure authentication	Role based access control and fine grained access rights
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More resources
	Atos Standard Common Repository	EXASOL	Microsoft Azure AI Search	Transwarp Hippo
Recent citations in the news		It's Back to the Database Future for Exasol CEO Tewes 26 October 2023, Datanami Exasol Finds AI Underinvestment Leads to Business Failure, But Data Challenges Stall Rapid Adoption 20 March 2024, businesswire.com Exasol gets jolt of AI with Espresso suite of capabilities 26 February 2024, TechTarget Mathias Golombek, Chief Technology Officer of Exasol – Interview Series 21 May 2024, Unite.AI Exasol Unveils New Suite of AI Tools to Turbocharge Enterprise Data Analytics 22 February 2024, AiThority 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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