DBMS > Atos Standard Common Repository vs. EventStoreDB vs. Graph Engine vs. Riak TS

System Properties Comparison Atos Standard Common Repository vs. EventStoreDB vs. Graph Engine 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	Graph Engine former name: Trinity  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.	A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine	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	Graph DBMS Key-value store	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 0.67 Rank #232   Overall #21   Graph DBMS #34   Key-value stores	Score 0.28 Rank #307   Overall #27   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.eventstore.com	www.graphengine.io
Technical documentation		developers.eventstore.com	www.graphengine.io/­docs/­manual	www.tiot.jp/­riak-docs/­riak/­ts/­latest
Developer	Atos Convergence Creators	Event Store Limited	Microsoft	Open Source, formerly Basho Technologies
Initial release	2016	2012	2010	2015
Current release	1703	21.2, February 2021		3.0.0, September 2022
License Commercial or Open Source	commercial	Open Source	Open Source MIT License	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		.NET and C	Erlang
Server operating systems	Linux	Linux Windows	.NET	Linux OS X
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		no	no
Secondary indexes	yes			restricted
SQL Support of SQL	no		no	yes, limited
APIs and other access methods	LDAP		RESTful HTTP API	HTTP API Native Erlang Interface
Supported programming languages	All languages with LDAP bindings		C# C++ F# Visual Basic	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	Erlang
Triggers	yes		no	yes pre-commit hooks and post-commit hooks
Partitioning methods Methods for storing different data on different nodes	Sharding cell division		horizontal partitioning	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes			selectable replication factor
MapReduce Offers an API for user-defined Map/Reduce methods				yes
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration			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		no	no
Concurrency Support for concurrent manipulation of data	yes		yes	yes
Durability Support for making data persistent	yes		optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage	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			no
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More resources
	Atos Standard Common Repository	EventStoreDB	Graph Engine former name: Trinity	Riak TS
Recent citations in the news			Trinity 30 October 2010, Microsoft Open source Microsoft Graph Engine takes on Neo4j 13 February 2017, InfoWorld IBM releases Graph, a service that can outperform SQL databases 27 July 2016, GeekWire The graph analytics landscape 2019 - DataScienceCentral.com 27 February 2019, Data Science Central Aerospike Is Now a Graph Database, Too 21 June 2023, Datanami 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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