DBMS > Atos Standard Common Repository vs. Badger vs. Faircom EDGE vs. Sequoiadb

System Properties Comparison Atos Standard Common Repository vs. Badger vs. Faircom EDGE vs. Sequoiadb

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Badger  Xexclude from comparison	Faircom EDGE formerly c-treeEDGE  Xexclude from comparison	Sequoiadb  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	An embeddable, persistent, simple and fast Key-Value Store, written purely in Go.	FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environments	NewSQL database with distributed OLTP and SQL
Primary database model	Document store Key-value store	Key-value store	Key-value store Relational DBMS	Document store Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.22 Rank #320   Overall #47   Key-value stores	Score 0.09 Rank #362   Overall #53   Key-value stores #155   Relational DBMS	Score 0.50 Rank #258   Overall #41   Document stores #120   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­dgraph-io/­badger	www.faircom.com/­products/­faircom-edge	www.sequoiadb.com
Technical documentation		godoc.org/­github.com/­dgraph-io/­badger	docs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.html	www.sequoiadb.com/­en/­index.php?m=Files&a=index
Developer	Atos Convergence Creators	DGraph Labs	FairCom Corporation	Sequoiadb Ltd.
Initial release	2016	2017	1979	2013
Current release	1703		V3, October 2020
License Commercial or Open Source	commercial	Open Source Apache 2.0	commercial Restricted, free version available	Open Source Server: AGPL; Client: Apache V2
Cloud-based only Only available as a cloud service	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Go	ANSI C, C++	C++
Server operating systems	Linux	BSD Linux OS X Solaris Windows	Android Linux ARM, x86 Raspbian Windows	Linux
Data scheme	Schema and schema-less with LDAP views	schema-free	Flexible Schema (defined schema, partial schema, schema free)	schema-free
Typing predefined data types such as float or date	optional	no	yes, ANSI Standard SQL Types	yes oid, date, timestamp, binary, regex
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	no
Secondary indexes	yes	no	yes	yes
SQL Support of SQL	no	no	yes ANSI SQL queries	SQL-like query language
APIs and other access methods	LDAP		ADO.NET Direct SQL IoT Microservice layer JDBC MQTT (Message Queue Telemetry Transport) ODBC RESTful HTTP API	proprietary protocol using JSON
Supported programming languages	All languages with LDAP bindings	Go	C C# C++ Java JavaScript PHP Python VB.Net	.Net C++ Java PHP Python
Server-side scripts Stored procedures	no	no	yes .Net, JavaScript, C/C++	JavaScript
Triggers	yes	no	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	File partitioning Customizable business rules for partitioning	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	none	yes Synchronous and asynchronous realtime replication based on transaction logs	Source-replica replication
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	none	Immediate Consistency Tunable Consistency	Eventual Consistency
Foreign keys Referential integrity	no	no	yes when using SQL	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID	Document is locked during a transaction
Concurrency Support for concurrent manipulation of data	yes	yes	yes across SQL and NoSQL	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	no
User concepts Access control	LDAP bind authentication	no	Fine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.	simple password-based access control
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More resources
	Atos Standard Common Repository	Badger	Faircom EDGE formerly c-treeEDGE	Sequoiadb
Recent citations in the news			Innovative Software and Giant Lego Sets, Why FairCom Edge Booth is a Must-Visit at Automate 9 May 2024, MVPro FairCom kicks off new era of database technology USA - English 10 November 2020, PR Newswire Brokers, Protocols, Platform Move Manufacturing Data 26 July 2023, EE Times World's First Converged IIoT Hub to be Showcased at IoT Tech Expo 3 September 2021, Automation.com Winners of the 2021 IoT Evolution Product of the Year Awards Announced 6 July 2021, IoT Evolution World provided by Google News

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