DBMS > Atos Standard Common Repository vs. Brytlyt vs. InfinityDB vs. Sequoiadb

System Properties Comparison Atos Standard Common Repository vs. Brytlyt vs. InfinityDB vs. Sequoiadb

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Brytlyt  Xexclude from comparison	InfinityDB  Xexclude from comparison	Sequoiadb  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	Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQL	A Java embedded Key-Value Store which extends the Java Map interface	NewSQL database with distributed OLTP and SQL
Primary database model	Document store Key-value store	Relational DBMS	Key-value store	Document store Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.38 Rank #276   Overall #127   Relational DBMS	Score 0.08 Rank #365   Overall #55   Key-value stores	Score 0.50 Rank #258   Overall #41   Document stores #120   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	brytlyt.io	boilerbay.com	www.sequoiadb.com
Technical documentation		docs.brytlyt.io	boilerbay.com/­infinitydb/­manual	www.sequoiadb.com/­en/­index.php?m=Files&a=index
Developer	Atos Convergence Creators	Brytlyt	Boiler Bay Inc.	Sequoiadb Ltd.
Initial release	2016	2016	2002	2013
Current release	1703	5.0, August 2023	4.0
License Commercial or Open Source	commercial	commercial	commercial	Open Source Server: AGPL; Client: Apache V2
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	C, C++ and CUDA	Java	C++
Server operating systems	Linux	Linux OS X Windows	All OS with a Java VM	Linux
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	yes oid, date, timestamp, binary, regex
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	yes specific XML-type available, but no XML query functionality.	no	no
Secondary indexes	yes	yes	no manual creation possible, using inversions based on multi-value capability	yes
SQL Support of SQL	no	yes	no	SQL-like query language
APIs and other access methods	LDAP	ADO.NET JDBC native C library ODBC streaming API for large objects	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)	proprietary protocol using JSON
Supported programming languages	All languages with LDAP bindings	.Net C C++ Delphi Java Perl Python Tcl	Java	.Net C++ Java PHP Python
Server-side scripts Stored procedures	no	user defined functions in PL/pgSQL	no	JavaScript
Triggers	yes	yes	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division		none	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	Source-replica replication	none	Source-replica 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	Immediate Consistency	Immediate Consistency READ-COMMITTED or SERIALIZED	Eventual Consistency
Foreign keys Referential integrity	no	yes	no manual creation possible, using inversions based on multi-value capability	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	ACID Optimistic locking for transactions; no isolation for bulk loads	Document is locked during a transaction
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	no
User concepts Access control	LDAP bind authentication	fine grained access rights according to SQL-standard	no	simple password-based access control
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More resources
	Atos Standard Common Repository	Brytlyt	InfinityDB	Sequoiadb
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News	Opensignal Announces Acquisition of Brytlyt GPU-based Data Analytics & Visualization Technology 5 June 2024, PR Web Brytlyt releases version 5.0, introducing a more intuitive, intelligent and flexible analytics platform 1 August 2023, PR Newswire London data analytics startup Brytlyt raises €4.43M from Amsterdam-based Finch Capital, others 22 December 2021, Silicon Canals Brytlyt Secures $4M in Series A Funding 20 May 2020, Datanami London’s Brytlyt raises €4.4 million for its data analytics and visualisation technology 22 December 2021, EU-Startups provided by Google News

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