DBMS > Atos Standard Common Repository vs. Google Cloud Spanner vs. InfinityDB vs. SpaceTime

System Properties Comparison Atos Standard Common Repository vs. Google Cloud Spanner vs. InfinityDB vs. SpaceTime

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Google Cloud Spanner  Xexclude from comparison	InfinityDB  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	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.	A Java embedded Key-Value Store which extends the Java Map interface	SpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database model	Document store Key-value store	Relational DBMS	Key-value store	Spatial DBMS
Secondary database models				Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 2.84 Rank #100   Overall #51   Relational DBMS	Score 0.08 Rank #365   Overall #55   Key-value stores	Score 0.03 Rank #392   Overall #8   Spatial DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	cloud.google.com/­spanner	boilerbay.com	www.mireo.com/­spacetime
Technical documentation		cloud.google.com/­spanner/­docs	boilerbay.com/­infinitydb/­manual
Developer	Atos Convergence Creators	Google	Boiler Bay Inc.	Mireo
Initial release	2016	2017	2002	2020
Current release	1703		4.0
License Commercial or Open Source	commercial	commercial	commercial	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	yes	yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade	yes
Typing predefined data types such as float or date	optional	yes	yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays	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	no manual creation possible, using inversions based on multi-value capability	no
SQL Support of SQL	no	yes Query statements complying to ANSI 2011	no	A subset of ANSI SQL is implemented
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	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)	RESTful HTTP API
Supported programming languages	All languages with LDAP bindings	Go Java JavaScript (Node.js) Python	Java	C# C++ Python
Server-side scripts Stored procedures	no	no	no	no
Triggers	yes	no	no	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 3 replicas for regional instances.	none	Real-time block device replication (DRBD)
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 READ-COMMITTED or SERIALIZED	Immediate Consistency
Foreign keys Referential integrity	no	yes by using interleaved tables, this features focuses more on performance improvements than on referential integrity	no manual creation possible, using inversions based on multi-value capability	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID Strict serializable isolation	ACID Optimistic locking for transactions; no isolation for bulk loads	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	no	no	no
User concepts Access control	LDAP bind authentication	Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)	no	yes
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More resources
	Atos Standard Common Repository	Google Cloud Spanner	InfinityDB	SpaceTime
Recent citations in the news		Google Improves Cloud Spanner: More Compute and Storage without Price Increase 14 October 2023, InfoQ.com 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 Google Spanner: When Do You Need to Move to It? 11 September 2023, hackernoon.com provided by Google News

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