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

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

Editorial information provided by DB-Engines
Name	ArcadeDB  Xexclude from comparison	Atos Standard Common Repository  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	Fast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewritten	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
Primary database model	Document store Graph DBMS Key-value store Time Series DBMS in next version	Document store Key-value store	Time Series DBMS	Document store	Key-value store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.10 Rank #358   Overall #48   Document stores #38   Graph DBMS #52   Key-value stores #35   Time Series DBMS		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	arcadedb.com	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
Technical documentation	docs.arcadedb.com		spotify.github.io/­heroic	docs.percona.com/­percona-distribution-for-mongodb
Developer	Arcade Data	Atos Convergence Creators	Spotify	Percona	Simer Plaha
Initial release	2021	2016	2014	2015	2018
Current release	September 2021	1703		3.4.10-2.10, November 2017
License Commercial or Open Source	Open Source Apache Version 2.0	commercial	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	Java	C++	Scala
Server operating systems	All OS with a Java VM	Linux		Linux
Data scheme	schema-free	Schema and schema-less with LDAP views	schema-free	schema-free	schema-free
Typing predefined data types such as float or date	yes	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.	no	yes	no	no	no
Secondary indexes	yes	yes	yes via Elasticsearch	yes	no
SQL Support of SQL	SQL-like query language, no joins	no	no	no	no
APIs and other access methods	JDBC MongoDB API OpenCypher PostgreSQL wire protocol Redis API RESTful HTTP/JSON API TinkerPop Gremlin	LDAP	HQL (Heroic Query Language, a JSON-based language) HTTP API	proprietary protocol using JSON
Supported programming languages	Java	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	Source-replica replication	yes	yes	Source-replica replication	none
MapReduce Offers an API for user-defined Map/Reduce methods	no		no	yes	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency Immediate Consistency	Eventual Consistency Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	yes relationship in graphs	no	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	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
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
	ArcadeDB	Atos Standard Common Repository	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 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

Share this page