DBMS > Atos Standard Common Repository vs. Blueflood vs. Google Cloud Datastore vs. H2GIS

System Properties Comparison Atos Standard Common Repository vs. Blueflood vs. Google Cloud Datastore vs. H2GIS

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Blueflood  Xexclude from comparison	Google Cloud Datastore  Xexclude from comparison	H2GIS  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	Scalable TimeSeries DBMS based on Cassandra	Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform	Spatial extension of H2
Primary database model	Document store Key-value store	Time Series DBMS	Document store	Spatial DBMS
Secondary database models				Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.13 Rank #346   Overall #33   Time Series DBMS	Score 4.36 Rank #72   Overall #12   Document stores	Score 0.08 Rank #368   Overall #7   Spatial DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	blueflood.io	cloud.google.com/­datastore	www.h2gis.org
Technical documentation		github.com/­rax-maas/­blueflood/­wiki	cloud.google.com/­datastore/­docs	www.h2gis.org/­docs/­home
Developer	Atos Convergence Creators	Rackspace	Google	CNRS
Initial release	2016	2013	2008	2013
Current release	1703
License Commercial or Open Source	commercial	Open Source Apache 2.0	commercial	Open Source LGPL 3.0
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Java		Java
Server operating systems	Linux	Linux OS X	hosted
Data scheme	Schema and schema-less with LDAP views	predefined scheme	schema-free	yes
Typing predefined data types such as float or date	optional	yes	yes, details here	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	no	yes	yes
SQL Support of SQL	no	no	SQL-like query language (GQL)	yes
APIs and other access methods	LDAP	HTTP REST	gRPC (using protocol buffers) API RESTful HTTP/JSON API
Supported programming languages	All languages with LDAP bindings		.Net Go Java JavaScript (Node.js) PHP Python Ruby	Java
Server-side scripts Stored procedures	no	no	using Google App Engine	yes based on H2
Triggers	yes	no	Callbacks using the Google Apps Engine	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding based on Cassandra	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor based on Cassandra	Multi-source replication using Paxos	yes based on H2
MapReduce Offers an API for user-defined Map/Reduce methods		no	yes using Google Cloud Dataflow	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	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	no	yes via ReferenceProperties or Ancestor paths	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID Serializable Isolation within Transactions, Read Committed outside of Transactions	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes, multi-version concurrency control (MVCC)
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	yes
User concepts Access control	LDAP bind authentication	no	Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)	yes based on H2
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More resources
	Atos Standard Common Repository	Blueflood	Google Cloud Datastore	H2GIS
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