DBMS > Atos Standard Common Repository vs. Heroic vs. Infobright vs. openGemini

System Properties Comparison Atos Standard Common Repository vs. Heroic vs. Infobright vs. openGemini

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Heroic  Xexclude from comparison	Infobright  Xexclude from comparison	openGemini  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	High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend	An open source distributed Time Series DBMS with high concurrency, high performance, and high scalability
Primary database model	Document store Key-value store	Time Series DBMS	Relational DBMS	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.46 Rank #265   Overall #22   Time Series DBMS	Score 1.02 Rank #192   Overall #90   Relational DBMS	Score 0.09 Rank #361   Overall #37   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­spotify/­heroic	ignitetech.com/­softwarelibrary/­infobrightdb	www.opengemini.org github.com/­openGemini
Technical documentation		spotify.github.io/­heroic		docs.opengemini.org/­guide
Developer	Atos Convergence Creators	Spotify	Ignite Technologies Inc.; formerly InfoBright Inc.	Huawei and openGemini community
Initial release	2016	2014	2005	2022
Current release	1703			1.1, July 2023
License Commercial or Open Source	commercial	Open Source Apache 2.0	commercial The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016	Open Source Apache Version 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	Java	C	Go
Server operating systems	Linux		Linux Windows	Linux Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	yes	schema-free
Typing predefined data types such as float or date	optional	yes	yes	Integer, Float, Boolean, String
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	no Knowledge Grid Technology used instead	yes
SQL Support of SQL	no	no	yes	SQL-like query language
APIs and other access methods	LDAP	HQL (Heroic Query Language, a JSON-based language) HTTP API	ADO.NET JDBC ODBC	HTTP REST
Supported programming languages	All languages with LDAP bindings		.Net C C# C++ D Eiffel Erlang Haskell Java Objective-C OCaml Perl PHP Python Ruby Scheme Tcl	C C++ Go Java JavaScript (Node.js) Python Rust
Server-side scripts Stored procedures	no	no	no	no
Triggers	yes	no	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	none	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes	Source-replica replication	yes
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	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	ACID	no
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	yes
User concepts Access control	LDAP bind authentication		fine grained access rights according to SQL-standard exploiting MySQL or PostgreSQL frontend capabilities	Administrators and common users accounts
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More resources
	Atos Standard Common Repository	Heroic	Infobright	openGemini
Recent citations in the news		Review: Google Bigtable scales with ease 7 September 2016, InfoWorld provided by Google News		About HUAWEI Open Source 9 February 2022, Huawei provided by Google News

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