DBMS > Atos Standard Common Repository vs. Infobright vs. Microsoft Azure Table Storage vs. Riak TS

System Properties Comparison Atos Standard Common Repository vs. Infobright vs. Microsoft Azure Table Storage vs. Riak TS

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Infobright  Xexclude from comparison	Microsoft Azure Table Storage  Xexclude from comparison	Riak TS  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	High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend	A Wide Column Store for rapid development using massive semi-structured datasets	Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database model	Document store Key-value store	Relational DBMS	Wide column store	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 1.02 Rank #192   Overall #90   Relational DBMS	Score 4.04 Rank #77   Overall #6   Wide column stores	Score 0.28 Rank #307   Overall #27   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	ignitetech.com/­softwarelibrary/­infobrightdb	azure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentation				www.tiot.jp/­riak-docs/­riak/­ts/­latest
Developer	Atos Convergence Creators	Ignite Technologies Inc.; formerly InfoBright Inc.	Microsoft	Open Source, formerly Basho Technologies
Initial release	2016	2005	2012	2015
Current release	1703			3.0.0, September 2022
License Commercial or Open Source	commercial	commercial The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016	commercial	Open Source
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	C		Erlang
Server operating systems	Linux	Linux Windows	hosted	Linux OS X
Data scheme	Schema and schema-less with LDAP views	yes	schema-free	schema-free
Typing predefined data types such as float or date	optional	yes	yes	no
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 Knowledge Grid Technology used instead	no	restricted
SQL Support of SQL	no	yes	no	yes, limited
APIs and other access methods	LDAP	ADO.NET JDBC ODBC	RESTful HTTP API	HTTP API Native Erlang Interface
Supported programming languages	All languages with LDAP bindings	.Net C C# C++ D Eiffel Erlang Haskell Java Objective-C OCaml Perl PHP Python Ruby Scheme Tcl	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby	C unofficial client library C# C++ unofficial client library Clojure unofficial client library Dart unofficial client library Erlang Go unofficial client library Groovy unofficial client library Haskell unofficial client library Java JavaScript unofficial client library Lisp unofficial client library Perl unofficial client library PHP Python Ruby Scala unofficial client library Smalltalk unofficial client library
Server-side scripts Stored procedures	no	no	no	Erlang
Triggers	yes	no	no	yes pre-commit hooks and post-commit hooks
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	Sharding Implicit feature of the cloud service	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	Source-replica replication	yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	selectable replication factor
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	yes
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Immediate Consistency	Eventual Consistency
Foreign keys Referential integrity	no	no	no	no links between datasets can be stored
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	optimistic locking	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	yes	no
User concepts Access control	LDAP bind authentication	fine grained access rights according to SQL-standard exploiting MySQL or PostgreSQL frontend capabilities	Access rights based on private key authentication or shared access signatures	no
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More resources
	Atos Standard Common Repository	Infobright	Microsoft Azure Table Storage	Riak TS
Recent citations in the news			Working with Azure to Use and Manage Data Lakes 7 March 2024, Simplilearn How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB 9 July 2021, hackernoon.com How to use Azure Table storage in .Net 14 January 2019, InfoWorld Quick Guide to Azure Storage Pricing 16 May 2023, DevOps.com How to write data to Azure Table Store with an Azure Function 14 April 2017, Experts Exchange provided by Google News	New Basho Data Platform Provides Operational Simplicity for Enterprise Big Data Applications 7 June 2015, insideBIGDATA Best open source databases for IoT applications 26 May 2017, Open Source For You provided by Google News

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