DBMS > Atos Standard Common Repository vs. BigObject vs. InfinityDB vs. Riak TS

System Properties Comparison Atos Standard Common Repository vs. BigObject vs. InfinityDB vs. Riak TS

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	BigObject  Xexclude from comparison	InfinityDB  Xexclude from comparison	Riak TS  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	Analytic DBMS for real-time computations and queries	A Java embedded Key-Value Store which extends the Java Map interface	Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database model	Document store Key-value store	Relational DBMS a hierachical model (tree) can be imposed	Key-value store	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.19 Rank #329   Overall #146   Relational DBMS	Score 0.08 Rank #365   Overall #55   Key-value stores	Score 0.28 Rank #307   Overall #27   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	bigobject.io	boilerbay.com
Technical documentation		docs.bigobject.io	boilerbay.com/­infinitydb/­manual	www.tiot.jp/­riak-docs/­riak/­ts/­latest
Developer	Atos Convergence Creators	BigObject, Inc.	Boiler Bay Inc.	Open Source, formerly Basho Technologies
Initial release	2016	2015	2002	2015
Current release	1703		4.0	3.0.0, September 2022
License Commercial or Open Source	commercial	commercial free community edition available	commercial	Open Source
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	Erlang
Server operating systems	Linux	Linux distributed as a docker-image OS X distributed as a docker-image (boot2docker) Windows distributed as a docker-image (boot2docker)	All OS with a Java VM	Linux OS X
Data scheme	Schema and schema-less with LDAP views	yes	yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade	schema-free
Typing predefined data types such as float or date	optional	yes	yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays	no
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	no manual creation possible, using inversions based on multi-value capability	restricted
SQL Support of SQL	no	SQL-like DML and DDL statements	no	yes, limited
APIs and other access methods	LDAP	fluentd ODBC RESTful HTTP API	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)	HTTP API Native Erlang Interface
Supported programming languages	All languages with LDAP bindings		Java	C unofficial client library C# C++ unofficial client library Clojure unofficial client library Dart unofficial client library Erlang Go unofficial client library Groovy unofficial client library Haskell unofficial client library Java JavaScript unofficial client library Lisp unofficial client library Perl unofficial client library PHP Python Ruby Scala unofficial client library Smalltalk unofficial client library
Server-side scripts Stored procedures	no	Lua	no	Erlang
Triggers	yes	no	no	yes pre-commit hooks and post-commit hooks
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	none	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	none	none	selectable replication factor
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	yes
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	none	Immediate Consistency READ-COMMITTED or SERIALIZED	Eventual Consistency
Foreign keys Referential integrity	no	yes automatically between fact table and dimension tables	no manual creation possible, using inversions based on multi-value capability	no links between datasets can be stored
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID Optimistic locking for transactions; no isolation for bulk loads	no
Concurrency Support for concurrent manipulation of data	yes	yes Read/write lock on objects (tables, trees)	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	yes	no
User concepts Access control	LDAP bind authentication	no	no	no
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More resources
	Atos Standard Common Repository	BigObject	InfinityDB	Riak TS
Recent citations in the news				New Basho Data Platform Provides Operational Simplicity for Enterprise Big Data Applications 7 June 2015, insideBIGDATA Best open source databases for IoT applications 26 May 2017, Open Source For You provided by Google News

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