DBMS > Atos Standard Common Repository vs. Blueflood vs. Brytlyt vs. EventStoreDB

System Properties Comparison Atos Standard Common Repository vs. Blueflood vs. Brytlyt vs. EventStoreDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Blueflood  Xexclude from comparison	Brytlyt  Xexclude from comparison	EventStoreDB  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 TimeSeries DBMS based on Cassandra	Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQL	Industrial-strength, open-source database solution built from the ground up for event sourcing.
Primary database model	Document store Key-value store	Time Series DBMS	Relational DBMS	Event Store
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.13 Rank #346   Overall #33   Time Series DBMS	Score 0.38 Rank #276   Overall #127   Relational DBMS	Score 1.19 Rank #173   Overall #1   Event Stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	blueflood.io	brytlyt.io	www.eventstore.com
Technical documentation		github.com/­rax-maas/­blueflood/­wiki	docs.brytlyt.io	developers.eventstore.com
Developer	Atos Convergence Creators	Rackspace	Brytlyt	Event Store Limited
Initial release	2016	2013	2016	2012
Current release	1703		5.0, August 2023	21.2, February 2021
License Commercial or Open Source	commercial	Open Source Apache 2.0	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	C, C++ and CUDA
Server operating systems	Linux	Linux OS X	Linux OS X Windows	Linux Windows
Data scheme	Schema and schema-less with LDAP views	predefined scheme	yes
Typing predefined data types such as float or date	optional	yes	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	yes specific XML-type available, but no XML query functionality.
Secondary indexes	yes	no	yes
SQL Support of SQL	no	no	yes
APIs and other access methods	LDAP	HTTP REST	ADO.NET JDBC native C library ODBC streaming API for large objects
Supported programming languages	All languages with LDAP bindings		.Net C C++ Delphi Java Perl Python Tcl
Server-side scripts Stored procedures	no	no	user defined functions in PL/pgSQL
Triggers	yes	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding based on Cassandra
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor based on Cassandra	Source-replica replication
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 based on Cassandra Immediate Consistency based on Cassandra	Immediate Consistency
Foreign keys Referential integrity	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes
Durability Support for making data persistent	yes	yes	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	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	Blueflood	Brytlyt	EventStoreDB
Recent citations in the news		Real-Time Performance and Health Monitoring Using Netdata 2 September 2019, CNX Software provided by Google News	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 Bringing GPUs To Bear On Bog Standard Relational Databases 26 February 2018, The Next Platform Brytlyt raises £3.8m for '1000x faster analytics' 22 December 2021, BusinessCloud provided by Google News

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