DBMS > Atos Standard Common Repository vs. BigchainDB vs. Oracle NoSQL vs. RRDtool

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. Oracle NoSQL vs. RRDtool

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	BigchainDB  Xexclude from comparison	Oracle NoSQL  Xexclude from comparison	RRDtool  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	BigchainDB is scalable blockchain database offering decentralization, immutability and native assets	A multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes	Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. The data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database model	Document store Key-value store	Document store	Document store Key-value store Relational DBMS	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.77 Rank #199   Overall #32   Document stores	Score 4.84 Rank #81   Overall #15   Document stores #13   Key-value stores #43   Relational DBMS	Score 2.43 Rank #116   Overall #7   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.bigchaindb.com	www.oracle.com/­database/­technologies/­related/­nosql.html	oss.oetiker.ch/­rrdtool
Technical documentation		bigchaindb.readthedocs.io/­en/­latest	docs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html	oss.oetiker.ch/­rrdtool/­doc
Developer	Atos Convergence Creators		Oracle	Tobias Oetiker
Initial release	2016	2016	2011	1999
Current release	1703		22.1, May 2022	1.7.2, May 2019
License Commercial or Open Source	commercial	Open Source AGPL v3	Open Source Proprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)	Open Source GPL V2 and FLOSS
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	Python	Java	C Implementations in Java (e.g. RRD4J) and C# available
Server operating systems	Linux	Linux	Linux Solaris SPARC/x86	HP-UX Linux
Data scheme	Schema and schema-less with LDAP views	schema-free	Support Fixed schema and Schema-less deployment with the ability to interoperate between them.	yes
Typing predefined data types such as float or date	optional	no	optional	Numeric data only
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 Exporting into and restoring from XML files possible
Secondary indexes	yes		yes	no
SQL Support of SQL	no	no	SQL-like DML and DDL statements	no
APIs and other access methods	LDAP	CLI Client RESTful HTTP API	RESTful HTTP API	in-process shared library Pipes
Supported programming languages	All languages with LDAP bindings	Go Haskell Java JavaScript Python Ruby	C C# Go Java JavaScript (Node.js) Python	C with librrd library C# with a different implementation of RRDTool Java with a different implementation of RRDTool JavaScript (Node.js) with a different implementation of RRDTool Lua Perl PHP with a wrapper library Python Ruby
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	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor	Electable source-replica replication per shard. Support distributed global deployment with Multi-region table feature	none
MapReduce Offers an API for user-defined Map/Reduce methods		no	with Hadoop integration	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration		Eventual Consistency Immediate Consistency depending on configuration	none
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		configurable ACID within a storage node (=shard)	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes by using the rrdcached daemon
Durability Support for making data persistent	yes	yes,with MongoDB ord RethinkDB	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes		yes off heap cache	yes
User concepts Access control	LDAP bind authentication	yes	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
	Atos Standard Common Repository	BigchainDB	Oracle NoSQL	RRDtool
DB-Engines blog posts