DBMS > Atos Standard Common Repository vs. EventStoreDB vs. MarkLogic vs. Riak TS

System Properties Comparison Atos Standard Common Repository vs. EventStoreDB vs. MarkLogic vs. Riak TS

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	EventStoreDB  Xexclude from comparison	MarkLogic  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	Industrial-strength, open-source database solution built from the ground up for event sourcing.	Operational and transactional Enterprise NoSQL database	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	Event Store	Document store Native XML DBMS RDF store as of version 7 Search engine	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 1.19 Rank #173   Overall #1   Event Stores	Score 5.18 Rank #63   Overall #11   Document stores #1   Native XML DBMS #1   RDF stores #7   Search engines	Score 0.28 Rank #307   Overall #27   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.eventstore.com	www.progress.com/­marklogic
Technical documentation		developers.eventstore.com	www.progress.com/­marklogic/­documentation	www.tiot.jp/­riak-docs/­riak/­ts/­latest
Developer	Atos Convergence Creators	Event Store Limited	MarkLogic Corp.	Open Source, formerly Basho Technologies
Initial release	2016	2012	2001	2015
Current release	1703	21.2, February 2021	11.0, December 2022	3.0.0, September 2022
License Commercial or Open Source	commercial	Open Source	commercial restricted free version is available	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		C++	Erlang
Server operating systems	Linux	Linux Windows	Linux OS X Windows	Linux OS X
Data scheme	Schema and schema-less with LDAP views		schema-free Schema can be enforced	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	no
Secondary indexes	yes		yes	restricted
SQL Support of SQL	no		yes SQL92	yes, limited
APIs and other access methods	LDAP		Java API Node.js Client API ODBC proprietary Optic API Proprietary Query API, introduced with version 9 RESTful HTTP API SPARQL WebDAV XDBC XQuery XSLT	HTTP API Native Erlang Interface
Supported programming languages	All languages with LDAP bindings		C C# C++ Java JavaScript (Node.js) Perl PHP Python Ruby	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		yes via XQuery or JavaScript	Erlang
Triggers	yes		yes	yes pre-commit hooks and post-commit hooks
Partitioning methods Methods for storing different data on different nodes	Sharding cell division		Sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes		yes	selectable replication factor
MapReduce Offers an API for user-defined Map/Reduce methods			yes via Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs	yes
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration		Immediate Consistency	Eventual Consistency
Foreign keys Referential integrity	no		no	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		ACID can act as a resource manager in an XA/JTA transaction	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, with Range Indexes
User concepts Access control	LDAP bind authentication		Role-based access control at the document and subdocument levels	no
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More resources
	Atos Standard Common Repository	EventStoreDB	MarkLogic	Riak TS
Recent citations in the news			MarkLogic “The NoSQL Database”. In the MarkLogic Query Console, you can… | by Abhay Srivastava | Apr, 2024 22 April 2024, Medium Database Platform to Simplify Complex Data | Progress Marklogic 7 February 2023, Progress Software AI can make logistics data as valuable as intelligence or operational data for mission success 17 April 2024, Breaking Defense Seven Quick Steps to Setting Up MarkLogic Server in Kubernetes 1 February 2024, release.nl Intelligence for multi-domain warfighters can now be sourced from logistics operations 13 May 2024, Breaking Defense provided by Google 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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