DBMS > Atos Standard Common Repository vs. Google Cloud Datastore vs. searchxml vs. STSdb

System Properties Comparison Atos Standard Common Repository vs. Google Cloud Datastore vs. searchxml vs. STSdb

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Google Cloud Datastore  Xexclude from comparison	searchxml  Xexclude from comparison	STSdb  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	Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform	DBMS for structured and unstructured content wrapped with an application server	Key-Value Store with special method for indexing optimized for high performance using a special indexing method
Primary database model	Document store Key-value store	Document store	Native XML DBMS Search engine	Key-value store
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 4.36 Rank #72   Overall #12   Document stores	Score 0.03 Rank #390   Overall #7   Native XML DBMS #24   Search engines	Score 0.10 Rank #357   Overall #51   Key-value stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	cloud.google.com/­datastore	www.searchxml.net/­category/­products	github.com/­STSSoft/­STSdb4
Technical documentation		cloud.google.com/­datastore/­docs	www.searchxml.net/­support/­handouts
Developer	Atos Convergence Creators	Google	informationpartners gmbh	STS Soft SC
Initial release	2016	2008	2015	2011
Current release	1703		1.0	4.0.8, September 2015
License Commercial or Open Source	commercial	commercial	commercial	Open Source GPLv2, commercial license available
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		C++	C#
Server operating systems	Linux	hosted	Windows	Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	schema-free	yes
Typing predefined data types such as float or date	optional	yes, details here	yes	yes primitive types and user defined types (classes)
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
Secondary indexes	yes	yes	yes	no
SQL Support of SQL	no	SQL-like query language (GQL)	no	no
APIs and other access methods	LDAP	gRPC (using protocol buffers) API RESTful HTTP/JSON API	RESTful HTTP API WebDAV XQuery XSLT	.NET Client API
Supported programming languages	All languages with LDAP bindings	.Net Go Java JavaScript (Node.js) PHP Python Ruby	C++ most other programming languages supported via APIs	C# Java
Server-side scripts Stored procedures	no	using Google App Engine	yes on the application server	no
Triggers	yes	Callbacks using the Google Apps Engine	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	none	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	Multi-source replication using Paxos	yes sychronisation to multiple collections	none
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 or Eventual Consistency depending on type of query and configuration Strong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.	Immediate Consistency
Foreign keys Referential integrity	no	yes via ReferenceProperties or Ancestor paths	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID Serializable Isolation within Transactions, Read Committed outside of Transactions	multiple readers, single writer	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
User concepts Access control	LDAP bind authentication	Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)	Domain, group and role-based access control at the document level and for application services	no
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More resources
	Atos Standard Common Repository	Google Cloud Datastore	searchxml	STSdb
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