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

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

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	EventStoreDB  Xexclude from comparison	Heroic  Xexclude from comparison	Percona Server for MongoDB  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	Industrial-strength, open-source database solution built from the ground up for event sourcing.	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
Primary database model	Document store Key-value store	Event Store	Time Series DBMS	Document store	Key-value store
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 1.19 Rank #173   Overall #1   Event Stores	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
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.eventstore.com	github.com/­spotify/­heroic	www.percona.com/­mongodb/­software/­percona-server-for-mongodb	swaydb.simer.au
Technical documentation		developers.eventstore.com	spotify.github.io/­heroic	docs.percona.com/­percona-distribution-for-mongodb
Developer	Atos Convergence Creators	Event Store Limited	Spotify	Percona	Simer Plaha
Initial release	2016	2012	2014	2015	2018
Current release	1703	21.2, February 2021		3.4.10-2.10, November 2017
License Commercial or Open Source	commercial	Open Source	Open Source Apache 2.0	Open Source GPL Version 2	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++	Scala
Server operating systems	Linux	Linux Windows		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	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		yes via Elasticsearch	yes	no
SQL Support of SQL	no		no	no	no
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
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 via In-Memory Engine	yes
User concepts Access control	LDAP bind authentication			Access rights for users and roles	no
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	Atos Standard Common Repository	EventStoreDB	Heroic	Percona Server for MongoDB	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

Share this page