DBMS > Atos Standard Common Repository vs. Heroic vs. LevelDB vs. Transwarp ArgoDB

System Properties Comparison Atos Standard Common Repository vs. Heroic vs. LevelDB vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Heroic  Xexclude from comparison	LevelDB  Xexclude from comparison	Transwarp ArgoDB  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	Embeddable fast key-value storage library that provides an ordered mapping from string keys to string values	Distributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database model	Document store Key-value store	Time Series DBMS	Key-value store	Relational DBMS
Secondary database models				Search engine
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.46 Rank #265   Overall #22   Time Series DBMS	Score 2.25 Rank #115   Overall #19   Key-value stores	Score 0.12 Rank #348   Overall #151   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­spotify/­heroic	github.com/­google/­leveldb	www.transwarp.cn/­en/­product/­argodb
Technical documentation		spotify.github.io/­heroic	github.com/­google/­leveldb/­blob/­main/­doc/­index.md	docs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
Developer	Atos Convergence Creators	Spotify	Google	Transwarp
Initial release	2016	2014	2011
Current release	1703		1.23, February 2021
License Commercial or Open Source	commercial	Open Source Apache 2.0	Open Source BSD	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	Java	C++
Server operating systems	Linux		Illumos Linux OS X Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	schema-free	yes
Typing predefined data types such as float or date	optional	yes	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	yes via Elasticsearch	no	yes
SQL Support of SQL	no	no	no	yes
APIs and other access methods	LDAP	HQL (Heroic Query Language, a JSON-based language) HTTP API
Supported programming languages	All languages with LDAP bindings		C++ Go Java 3rd party binding JavaScript (Node.js) 3rd party binding Python 3rd party binding
Server-side scripts Stored procedures	no	no	no
Triggers	yes	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes	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	Eventual Consistency Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	no
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	yes
Durability Support for making data persistent	yes	yes	yes with automatic compression on writes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no
User concepts Access control	LDAP bind authentication		no
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More resources
	Atos Standard Common Repository	Heroic	LevelDB	Transwarp ArgoDB
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