DBMS > Atos Standard Common Repository vs. Heroic vs. Percona Server for MongoDB vs. SwayDB vs. Transwarp ArgoDB

System Properties Comparison Atos Standard Common Repository vs. Heroic vs. Percona Server for MongoDB vs. SwayDB vs. Transwarp ArgoDB

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Heroic  Xexclude from comparison	Percona Server for MongoDB  Xexclude from comparison	SwayDB  Xexclude from comparison	Transwarp ArgoDB  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	Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch	A drop-in replacement for MongoDB Community Edition with enterprise-grade features.	An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage	Distributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database model	Document store Key-value store	Time Series DBMS	Document store	Key-value store	Relational DBMS
Secondary database models					Search engine
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.46 Rank #265   Overall #22   Time Series DBMS	Score 0.60 Rank #246   Overall #39   Document stores	Score 0.04 Rank #387   Overall #61   Key-value stores	Score 0.12 Rank #348   Overall #151   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­spotify/­heroic	www.percona.com/­mongodb/­software/­percona-server-for-mongodb	swaydb.simer.au	www.transwarp.cn/­en/­product/­argodb
Technical documentation		spotify.github.io/­heroic	docs.percona.com/­percona-distribution-for-mongodb		docs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
Developer	Atos Convergence Creators	Spotify	Percona	Simer Plaha	Transwarp
Initial release	2016	2014	2015	2018
Current release	1703		3.4.10-2.10, November 2017
License Commercial or Open Source	commercial	Open Source Apache 2.0	Open Source GPL Version 2	Open Source GNU Affero GPL V3.0	commercial
Cloud-based only Only available as a cloud service	no	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	Java	C++	Scala
Server operating systems	Linux		Linux
Data scheme	Schema and schema-less with LDAP views	schema-free	schema-free	schema-free	yes
Typing predefined data types such as float or date	optional	yes	yes	no	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 via Elasticsearch	yes	no	yes
SQL Support of SQL	no	no	no	no	yes
APIs and other access methods	LDAP	HQL (Heroic Query Language, a JSON-based language) HTTP API	proprietary protocol using JSON
Supported programming languages	All languages with LDAP bindings		Actionscript C C# C++ Clojure ColdFusion D Dart Delphi Erlang Go Groovy Haskell Java JavaScript Lisp Lua MatLab Perl PHP PowerShell Prolog Python R Ruby Scala Smalltalk	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	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes	Source-replica replication	none
MapReduce Offers an API for user-defined Map/Reduce methods		no	yes	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency Immediate Consistency	Eventual Consistency Immediate 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	no	no	Atomic execution of operations
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes	yes
Durability Support for making data persistent	yes	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 via In-Memory Engine	yes
User concepts Access control	LDAP bind authentication		Access rights for users and roles	no
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More resources
	Atos Standard Common Repository	Heroic	Percona Server for MongoDB	SwayDB	Transwarp ArgoDB
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News	Review: Google Bigtable scales with ease 7 September 2016, InfoWorld provided by Google News	MongoDB Performance Tuning 23 May 2024, Database Trends and Applications How to Plan Your MongoDB Upgrade 29 January 2024, The New Stack There are lots of ways to put a database in the cloud – here's what to consider 15 September 2023, The Register Why Isn't the World Upgrading Its Databases? 25 March 2024, The New Stack FerretDB goes GA: Gives you MongoDB, without the MongoDB... 15 May 2023, The Stack provided by Google News

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