DBMS > Atos Standard Common Repository vs. Badger vs. HEAVY.AI vs. Valentina Server

System Properties Comparison Atos Standard Common Repository vs. Badger vs. HEAVY.AI vs. Valentina Server

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Badger  Xexclude from comparison	HEAVY.AI Formerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparison	Valentina Server  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.	A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware	Object-relational database and reports server
Primary database model	Document store Key-value store	Key-value store	Relational DBMS	Relational DBMS
Secondary database models			Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.22 Rank #320   Overall #47   Key-value stores	Score 1.64 Rank #145   Overall #67   Relational DBMS	Score 0.21 Rank #325   Overall #144   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­dgraph-io/­badger	github.com/­heavyai/­heavydb www.heavy.ai	www.valentina-db.net
Technical documentation		godoc.org/­github.com/­dgraph-io/­badger	docs.heavy.ai	valentina-db.com/­docs/­dokuwiki/­v5/­doku.php
Developer	Atos Convergence Creators	DGraph Labs	HEAVY.AI, Inc.	Paradigma Software
Initial release	2016	2017	2016	1999
Current release	1703		5.10, January 2022	5.7.5
License Commercial or Open Source	commercial	Open Source Apache 2.0	Open Source Apache Version 2; enterprise edition available	commercial
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	C++ and CUDA
Server operating systems	Linux	BSD Linux OS X Solaris Windows	Linux	Linux OS X Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	yes	yes
Typing predefined data types such as float or date	optional	no	yes	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	no	yes
SQL Support of SQL	no	no	yes	yes
APIs and other access methods	LDAP		JDBC ODBC Thrift Vega	ODBC
Supported programming languages	All languages with LDAP bindings	Go	All languages supporting JDBC/ODBC/Thrift Python	.Net C C# C++ Objective-C PHP Ruby Visual Basic Visual Basic.NET
Server-side scripts Stored procedures	no	no	no	yes
Triggers	yes	no	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	Sharding Round robin
Replication methods Methods for redundantly storing data on multiple nodes	yes	none	Multi-source replication
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	none	Immediate Consistency
Foreign keys Referential integrity	no	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	no
Concurrency Support for concurrent manipulation of data	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	yes
User concepts Access control	LDAP bind authentication	no	fine grained access rights according to SQL-standard	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	Badger	HEAVY.AI Formerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022	Valentina Server
Recent citations in the news			HEAVY.AI Launches HEAVY 7.0, Introducing Real-Time Machine Learning Capabilities 19 April 2023, Business Wire Big Data Analytics: A Game Changer for Infrastructure 13 July 2023, Spiceworks News and Insights HEAVY.AI Partners with Bain, Maxar, and Nvidia to Provide Digital Twins for Telecom Networks 16 February 2023, Datanami Making the most of geospatial intelligence 14 April 2023, InfoWorld The insideBIGDATA IMPACT 50 List for Q4 2023 11 October 2023, insideBIGDATA provided by Google News	A Look at Valentina — SitePoint 18 April 2014, SitePoint MySQL GUI Tools for Windows and Ubuntu/Linux: Top 8 free or open source 7 December 2018, H2S Media provided by Google News

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