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

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

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	SpaceTime  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	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.	SpaceTime is a spatio-temporal DBMS with a focus on performance.	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	Time Series DBMS	Document store	Spatial DBMS	Key-value store
Secondary database models				Relational DBMS
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 0.03 Rank #392   Overall #8   Spatial DBMS	Score 0.04 Rank #387   Overall #61   Key-value stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­spotify/­heroic	www.percona.com/­mongodb/­software/­percona-server-for-mongodb	www.mireo.com/­spacetime	swaydb.simer.au
Technical documentation		spotify.github.io/­heroic	docs.percona.com/­percona-distribution-for-mongodb
Developer	Atos Convergence Creators	Spotify	Percona	Mireo	Simer Plaha
Initial release	2016	2014	2015	2020	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	commercial	Open Source GNU Affero GPL V3.0
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++	C++	Scala
Server operating systems	Linux		Linux	Linux
Data scheme	Schema and schema-less with LDAP views	schema-free	schema-free	yes	schema-free
Typing predefined data types such as float or date	optional	yes	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	no
Secondary indexes	yes	yes via Elasticsearch	yes	no	no
SQL Support of SQL	no	no	no	A subset of ANSI SQL is implemented	no
APIs and other access methods	LDAP	HQL (Heroic Query Language, a JSON-based language) HTTP API	proprietary protocol using JSON	RESTful HTTP API
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	C# C++ Python	Java Kotlin Scala
Server-side scripts Stored procedures	no	no	JavaScript	no	no
Triggers	yes	no	no	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	Sharding	Fixed-grid hypercubes	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes	Source-replica replication	Real-time block device replication (DRBD)	none
MapReduce Offers an API for user-defined Map/Reduce methods		no	yes	no	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	Immediate Consistency
Foreign keys Referential integrity	no	no	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	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	no	yes
User concepts Access control	LDAP bind authentication		Access rights for users and roles	yes	no
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More resources
	Atos Standard Common Repository	Heroic	Percona Server for MongoDB	SpaceTime	SwayDB
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 There are lots of ways to put a database in the cloud – here's what to consider 15 September 2023, The Register FerretDB goes GA: Gives you MongoDB, without the MongoDB... 15 May 2023, The Stack The Case Against the Server Side Public License (SSPL) 11 October 2022, The New Stack The essential guide to MongoDB security 2 February 2017, InfoWorld provided by Google News

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