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

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

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Faircom EDGE formerly c-treeEDGE  Xexclude from comparison	Heroic  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	FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environments	Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch	NewSQL database with distributed OLTP and SQL
Primary database model	Document store Key-value store	Key-value store Relational DBMS	Time Series DBMS	Document store Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.09 Rank #362   Overall #53   Key-value stores #155   Relational DBMS	Score 0.46 Rank #265   Overall #22   Time Series DBMS	Score 0.50 Rank #258   Overall #41   Document stores #120   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.faircom.com/­products/­faircom-edge	github.com/­spotify/­heroic	www.sequoiadb.com
Technical documentation		docs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.html	spotify.github.io/­heroic	www.sequoiadb.com/­en/­index.php?m=Files&a=index
Developer	Atos Convergence Creators	FairCom Corporation	Spotify	Sequoiadb Ltd.
Initial release	2016	1979	2014	2013
Current release	1703	V3, October 2020
License Commercial or Open Source	commercial	commercial Restricted, free version available	Open Source Apache 2.0	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	ANSI C, C++	Java	C++
Server operating systems	Linux	Android Linux ARM, x86 Raspbian Windows		Linux
Data scheme	Schema and schema-less with LDAP views	Flexible Schema (defined schema, partial schema, schema free)	schema-free	schema-free
Typing predefined data types such as float or date	optional	yes, ANSI Standard SQL Types	yes	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	yes	no	no
Secondary indexes	yes	yes	yes via Elasticsearch	yes
SQL Support of SQL	no	yes ANSI SQL queries	no	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	HQL (Heroic Query Language, a JSON-based language) HTTP API	proprietary protocol using JSON
Supported programming languages	All languages with LDAP bindings	C C# C++ Java JavaScript PHP Python VB.Net		.Net C++ Java PHP Python
Server-side scripts Stored procedures	no	yes .Net, JavaScript, C/C++	no	JavaScript
Triggers	yes	yes	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	File partitioning Customizable business rules for partitioning	Sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes Synchronous and asynchronous realtime replication based on transaction logs	yes	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	Immediate Consistency Tunable Consistency	Eventual Consistency Immediate Consistency	Eventual Consistency
Foreign keys Referential integrity	no	yes when using SQL	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	no	Document is locked during a transaction
Concurrency Support for concurrent manipulation of data	yes	yes across SQL and NoSQL	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	no
User concepts Access control	LDAP bind authentication	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	Faircom EDGE formerly c-treeEDGE	Heroic	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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