DBMS > Atos Standard Common Repository vs. Microsoft Azure Table Storage vs. Sequoiadb vs. SwayDB

System Properties Comparison Atos Standard Common Repository vs. Microsoft Azure Table Storage vs. Sequoiadb vs. SwayDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Microsoft Azure Table Storage  Xexclude from comparison	Sequoiadb  Xexclude from comparison	SwayDB  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 Wide Column Store for rapid development using massive semi-structured datasets	NewSQL database with distributed OLTP and SQL	An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database model	Document store Key-value store	Wide column store	Document store Relational DBMS	Key-value store
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 4.04 Rank #77   Overall #6   Wide column stores	Score 0.50 Rank #258   Overall #41   Document stores #120   Relational DBMS	Score 0.04 Rank #387   Overall #61   Key-value stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	azure.microsoft.com/­en-us/­services/­storage/­tables	www.sequoiadb.com	swaydb.simer.au
Technical documentation			www.sequoiadb.com/­en/­index.php?m=Files&a=index
Developer	Atos Convergence Creators	Microsoft	Sequoiadb Ltd.	Simer Plaha
Initial release	2016	2012	2013	2018
Current release	1703
License Commercial or Open Source	commercial	commercial	Open Source Server: AGPL; Client: Apache V2	Open Source GNU Affero GPL V3.0
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++	Scala
Server operating systems	Linux	hosted	Linux
Data scheme	Schema and schema-less with LDAP views	schema-free	schema-free	schema-free
Typing predefined data types such as float or date	optional	yes	yes oid, date, timestamp, binary, regex	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	yes	no
SQL Support of SQL	no	no	SQL-like query language	no
APIs and other access methods	LDAP	RESTful HTTP API	proprietary protocol using JSON
Supported programming languages	All languages with LDAP bindings	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby	.Net C++ Java PHP Python	Java Kotlin Scala
Server-side scripts Stored procedures	no	no	JavaScript	no
Triggers	yes	no	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding Implicit feature of the cloud service	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	Source-replica replication	none
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Eventual Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	optimistic locking	Document is locked during a transaction	Atomic execution of operations
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	yes
User concepts Access control	LDAP bind authentication	Access rights based on private key authentication or shared access signatures	simple password-based access control	no
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More resources
	Atos Standard Common Repository	Microsoft Azure Table Storage	Sequoiadb	SwayDB
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 How to write data to Azure Table Store with an Azure Function 14 April 2017, Experts Exchange Inside Azure File Storage 7 October 2015, azure.microsoft.com provided by Google News

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