DBMS > Atos Standard Common Repository vs. Google Cloud Spanner vs. H2 vs. Microsoft Azure AI Search

System Properties Comparison Atos Standard Common Repository vs. Google Cloud Spanner vs. H2 vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Google Cloud Spanner  Xexclude from comparison	H2  Xexclude from comparison	Microsoft Azure AI Search  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 horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.	Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.	Search-as-a-service for web and mobile app development
Primary database model	Document store Key-value store	Relational DBMS	Relational DBMS	Search engine
Secondary database models			Spatial DBMS	Vector DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 2.84 Rank #100   Overall #51   Relational DBMS	Score 8.33 Rank #46   Overall #30   Relational DBMS	Score 5.52 Rank #59   Overall #6   Search engines
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	cloud.google.com/­spanner	www.h2database.com	azure.microsoft.com/­en-us/­services/­search
Technical documentation		cloud.google.com/­spanner/­docs	www.h2database.com/­html/­main.html	learn.microsoft.com/­en-us/­azure/­search
Developer	Atos Convergence Creators	Google	Thomas Mueller	Microsoft
Initial release	2016	2017	2005	2015
Current release	1703		2.2.220, July 2023	V1
License Commercial or Open Source	commercial	commercial	Open Source dual-licence (Mozilla public license, Eclipse public license)	commercial
Cloud-based only Only available as a cloud service	no	yes	no	yes
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java		Java
Server operating systems	Linux	hosted	All OS with a Java VM	hosted
Data scheme	Schema and schema-less with LDAP views	yes	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	no	no	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	yes Query statements complying to ANSI 2011	yes	no
APIs and other access methods	LDAP	gRPC (using protocol buffers) API JDBC At present, JDBC supports read-only queries. No support for DDL or DML statements. RESTful HTTP API	JDBC ODBC	RESTful HTTP API
Supported programming languages	All languages with LDAP bindings	Go Java JavaScript (Node.js) Python	Java	C# Java JavaScript Python
Server-side scripts Stored procedures	no	no	Java Stored Procedures and User-Defined Functions	no
Triggers	yes	no	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	none	Sharding Implicit feature of the cloud service
Replication methods Methods for redundantly storing data on multiple nodes	yes	Multi-source replication with 3 replicas for regional instances.	With clustering: 2 database servers on different computers operate on identical copies of a database	yes Implicit feature of the cloud service
MapReduce Offers an API for user-defined Map/Reduce methods		yes using Google Cloud Dataflow	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 by using interleaved tables, this features focuses more on performance improvements than on referential integrity	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID Strict serializable isolation	ACID	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes, multi-version concurrency control (MVCC)	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	yes	no
User concepts Access control	LDAP bind authentication	Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)	fine grained access rights according to SQL-standard	yes using Azure authentication
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More resources
	Atos Standard Common Repository	Google Cloud Spanner	H2	Microsoft Azure AI Search
Recent citations in the news		Google Improves Cloud Spanner: More Compute and Storage without Price Increase 14 October 2023, InfoQ.com Google Turns Its Secret-Sauce Database Spanner into Cloud Service 1 June 2024, ITPro Today Google turns up the heat on AWS, claims Cloud Spanner is half the cost of DynamoDB 11 October 2023, TechCrunch Google makes its Cloud Spanner database service faster and more cost-efficient 11 October 2023, SiliconANGLE News Google Cloud just fired a major volley at AWS as the cloud wars heat up 12 October 2023, TechRadar provided by Google News		Announcing updates to Azure AI Search to help organizations build and scale generative AI applications 4 April 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 Microsoft’s Azure AI Search updated with increased storage, vector index size 5 April 2024, InfoWorld provided by Google News

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