DBMS > Atos Standard Common Repository vs. Google Cloud Datastore vs. Infobright vs. VelocityDB

System Properties Comparison Atos Standard Common Repository vs. Google Cloud Datastore vs. Infobright vs. VelocityDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Google Cloud Datastore  Xexclude from comparison	Infobright  Xexclude from comparison	VelocityDB  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	High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend	A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database model	Document store Key-value store	Document store	Relational DBMS	Graph DBMS Object oriented DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 4.36 Rank #72   Overall #12   Document stores	Score 1.02 Rank #192   Overall #90   Relational DBMS	Score 0.11 Rank #354   Overall #37   Graph DBMS #15   Object oriented DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	cloud.google.com/­datastore	ignitetech.com/­softwarelibrary/­infobrightdb	velocitydb.com
Technical documentation		cloud.google.com/­datastore/­docs		velocitydb.com/­UserGuide
Developer	Atos Convergence Creators	Google	Ignite Technologies Inc.; formerly InfoBright Inc.	VelocityDB Inc
Initial release	2016	2008	2005	2011
Current release	1703			7.x
License Commercial or Open Source	commercial	commercial	commercial The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016	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		C	C#
Server operating systems	Linux	hosted	Linux Windows	Any that supports .NET
Data scheme	Schema and schema-less with LDAP views	schema-free	yes	yes
Typing predefined data types such as float or date	optional	yes, details here	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	no Knowledge Grid Technology used instead	yes
SQL Support of SQL	no	SQL-like query language (GQL)	yes	no
APIs and other access methods	LDAP	gRPC (using protocol buffers) API RESTful HTTP/JSON API	ADO.NET JDBC ODBC	.Net
Supported programming languages	All languages with LDAP bindings	.Net Go Java JavaScript (Node.js) PHP Python Ruby	.Net C C# C++ D Eiffel Erlang Haskell Java Objective-C OCaml Perl PHP Python Ruby Scheme Tcl	.Net
Server-side scripts Stored procedures	no	using Google App Engine	no	no
Triggers	yes	Callbacks using the Google Apps Engine	no	Callbacks are triggered when data changes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	none	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	Multi-source replication using Paxos	Source-replica replication
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	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	ACID	ACID
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	yes	yes
User concepts Access control	LDAP bind authentication	Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)	fine grained access rights according to SQL-standard exploiting MySQL or PostgreSQL frontend capabilities	Based on Windows Authentication
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More resources
	Atos Standard Common Repository	Google Cloud Datastore	Infobright	VelocityDB
Recent citations in the news		Google Cloud Platform: Professional Data Engineer certification prep 11 June 2024, oreilly.com Google Cloud Stops Exit Fees 12 January 2024, Spiceworks News and Insights Best cloud storage of 2024 4 June 2024, TechRadar BigID Data Intelligence Platform Now Available on Google Cloud Marketplace 6 November 2023, PR Newswire Google says it'll stop charging fees to transfer data out of Google Cloud 11 January 2024, TechCrunch provided by Google News

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