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

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

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Brytlyt  Xexclude from comparison	EventStoreDB  Xexclude from comparison	TerarkDB  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	Industrial-strength, open-source database solution built from the ground up for event sourcing.	A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database model	Document store Key-value store	Relational DBMS	Event Store	Key-value store
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.38 Rank #276   Overall #127   Relational DBMS	Score 1.19 Rank #173   Overall #1   Event Stores	Score 0.08 Rank #367   Overall #56   Key-value stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	brytlyt.io	www.eventstore.com	github.com/­bytedance/­terarkdb
Technical documentation		docs.brytlyt.io	developers.eventstore.com	bytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
Developer	Atos Convergence Creators	Brytlyt	Event Store Limited	ByteDance, originally Terark
Initial release	2016	2016	2012	2016
Current release	1703	5.0, August 2023	21.2, February 2021
License Commercial or Open Source	commercial	commercial	Open Source	commercial restricted open source version available
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		C++
Server operating systems	Linux	Linux OS X Windows	Linux Windows
Data scheme	Schema and schema-less with LDAP views	yes		schema-free
Typing predefined data types such as float or date	optional	yes		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	yes specific XML-type available, but no XML query functionality.		no
Secondary indexes	yes	yes		no
SQL Support of SQL	no	yes		no
APIs and other access methods	LDAP	ADO.NET JDBC native C library ODBC streaming API for large objects		C++ API Java API
Supported programming languages	All languages with LDAP bindings	.Net C C++ Delphi Java Perl Python Tcl		C++ Java
Server-side scripts Stored procedures	no	user defined functions in PL/pgSQL		no
Triggers	yes	yes		no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division			none
Replication methods Methods for redundantly storing data on multiple nodes	yes	Source-replica replication		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	Immediate Consistency
Foreign keys Referential integrity	no	yes		no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID		no
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			yes
User concepts Access control	LDAP bind authentication	fine grained access rights according to SQL-standard		no
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More resources
	Atos Standard Common Repository	Brytlyt	EventStoreDB	TerarkDB
Recent citations in the 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		A Chinese company is making the cloud 200x faster · TechNode 3 July 2017, TechNode provided by Google News

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