DBMS > Atos Standard Common Repository vs. Google Cloud Firestore vs. Microsoft SQL Server
System Properties Comparison Atos Standard Common Repository vs. Google Cloud Firestore vs. Microsoft SQL Server
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|Editorial information provided by DB-Engines|
|Name||Atos Standard Common Repository Xexclude from comparison||Google Cloud Firestore Xexclude from comparison||Microsoft SQL Server 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||Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.||Microsofts flagship relational DBMS|
|Primary database model||Document store|
|Document store||Relational DBMS|
|Secondary database models||Document store|
|Developer||Atos Convergence Creators||Microsoft|
|Current release||1703||SQL Server 2019, November 2019|
|License Commercial or Open Source||commercial||commercial||commercial restricted free version is available|
|Cloud-based only Only available as a cloud service||no||yes||no|
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|Server operating systems||Linux||hosted||Linux|
|Data scheme||Schema and schema-less with LDAP views||schema-free||yes|
|Typing predefined data types such as float or date||optional||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||yes|
|SQL Support of SQL||no||no||yes|
|APIs and other access methods||LDAP||Android|
gRPC (using protocol buffers) API
RESTful HTTP API
Tabular Data Stream (TDS)
|Supported programming languages||All languages with LDAP bindings||Go|
|Server-side scripts Stored procedures||no||yes, Firebase Rules & Cloud Functions||Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java|
|Triggers||yes||yes, with Cloud Functions||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding cell division||Sharding||tables can be distributed across several files (horizontal partitioning); sharding through federation|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Multi-source replication||yes, but depending on the SQL-Server Edition|
|MapReduce Offers an API for user-defined Map/Reduce methods||Using Cloud Dataflow||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||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||Atomic execution of specific operations||yes||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||yes|
|User concepts Access control||LDAP bind authentication||Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.||fine grained access rights according to SQL-standard|
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|Atos Standard Common Repository||Google Cloud Firestore||Microsoft SQL Server|
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