DBMS > Atos Standard Common Repository vs. Google Cloud Firestore vs. H2 vs. SpaceTime

System Properties Comparison Atos Standard Common Repository vs. Google Cloud Firestore vs. H2 vs. SpaceTime

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Google Cloud Firestore  Xexclude from comparison	H2  Xexclude from comparison	SpaceTime  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.	Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.	SpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database model	Document store Key-value store	Document store	Relational DBMS	Spatial DBMS
Secondary database models			Spatial DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 7.36 Rank #53   Overall #9   Document stores	Score 8.33 Rank #46   Overall #30   Relational DBMS	Score 0.03 Rank #392   Overall #8   Spatial DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	firebase.google.com/­products/­firestore	www.h2database.com	www.mireo.com/­spacetime
Technical documentation		firebase.google.com/­docs/­firestore	www.h2database.com/­html/­main.html
Developer	Atos Convergence Creators	Google	Thomas Mueller	Mireo
Initial release	2016	2017	2005	2020
Current release	1703		2.2.220, July 2023
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	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java		Java	C++
Server operating systems	Linux	hosted	All OS with a Java VM	Linux
Data scheme	Schema and schema-less with LDAP views	schema-free	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	no
SQL Support of SQL	no	no	yes	A subset of ANSI SQL is implemented
APIs and other access methods	LDAP	Android gRPC (using protocol buffers) API iOS JavaScript API RESTful HTTP API	JDBC ODBC	RESTful HTTP API
Supported programming languages	All languages with LDAP bindings	Go Java JavaScript JavaScript (Node.js) Objective-C Python	Java	C# C++ Python
Server-side scripts Stored procedures	no	yes, Firebase Rules & Cloud Functions	Java Stored Procedures and User-Defined Functions	no
Triggers	yes	yes, with Cloud Functions	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	none	Fixed-grid hypercubes
Replication methods Methods for redundantly storing data on multiple nodes	yes	Multi-source replication	With clustering: 2 database servers on different computers operate on identical copies of a database	Real-time block device replication (DRBD)
MapReduce Offers an API for user-defined Map/Reduce methods		Using 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	no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	yes	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		yes	no
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	yes
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More resources
	Atos Standard Common Repository	Google Cloud Firestore	H2	SpaceTime
DB-Engines blog posts		Cloud-based DBMS's popularity grows at high rates 12 December 2019, Paul Andlinger show all
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News	Google's AI-First Strategy Brings Vector Support To Cloud Databases 1 March 2024, Forbes Realtime vs Cloud Firestore: Which Firebase Database to go? 8 March 2024, Appinventiv Google launches Firebase Genkit, a new open source framework for building AI-powered apps 14 May 2024, TechCrunch Firestore: NoSQL document database 9 October 2017, Google Firestore | Firebase 3 October 2017, firebase.google.com provided by Google News

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