DBMS > Atos Standard Common Repository vs. Badger vs. EventStoreDB vs. Lovefield

System Properties Comparison Atos Standard Common Repository vs. Badger vs. EventStoreDB vs. Lovefield

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Badger  Xexclude from comparison	EventStoreDB  Xexclude from comparison	Lovefield  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	An embeddable, persistent, simple and fast Key-Value Store, written purely in Go.	Industrial-strength, open-source database solution built from the ground up for event sourcing.	Embeddable relational database for web apps written in pure JavaScript
Primary database model	Document store Key-value store	Key-value store	Event Store	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.22 Rank #320   Overall #47   Key-value stores	Score 1.19 Rank #173   Overall #1   Event Stores	Score 0.33 Rank #286   Overall #131   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­dgraph-io/­badger	www.eventstore.com	google.github.io/­lovefield
Technical documentation		godoc.org/­github.com/­dgraph-io/­badger	developers.eventstore.com	github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
Developer	Atos Convergence Creators	DGraph Labs	Event Store Limited	Google
Initial release	2016	2017	2012	2014
Current release	1703		21.2, February 2021	2.1.12, February 2017
License Commercial or Open Source	commercial	Open Source Apache 2.0	Open Source	Open Source Apache 2.0
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	Go		JavaScript
Server operating systems	Linux	BSD Linux OS X Solaris Windows	Linux Windows	server-less, requires a JavaScript environment (browser, Node.js) tested with Chrome, Firefox, IE, Safari
Data scheme	Schema and schema-less with LDAP views	schema-free		yes
Typing predefined data types such as float or date	optional	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
Secondary indexes	yes	no		yes
SQL Support of SQL	no	no		SQL-like query language via JavaScript builder pattern
APIs and other access methods	LDAP
Supported programming languages	All languages with LDAP bindings	Go		JavaScript
Server-side scripts Stored procedures	no	no		no
Triggers	yes	no		Using read-only observers
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none		none
Replication methods Methods for redundantly storing data on multiple nodes	yes	none		none
MapReduce Offers an API for user-defined Map/Reduce methods		no		no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	none
Foreign keys Referential integrity	no	no		yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no		ACID
Concurrency Support for concurrent manipulation of data	yes	yes		yes
Durability Support for making data persistent	yes	yes		yes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no		yes using MemoryDB
User concepts Access control	LDAP bind authentication	no		no
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