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

System Properties Comparison Atos Standard Common Repository vs. EventStoreDB vs. PlanetScale 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	PlanetScale  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.	Scalable, distributed, serverless MySQL database platform built on top of Vitess	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	Relational DBMS	Time Series DBMS
Secondary database models			Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 1.19 Rank #173   Overall #1   Event Stores	Score 1.49 Rank #155   Overall #72   Relational DBMS	Score 0.28 Rank #307   Overall #27   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.eventstore.com	planetscale.com
Technical documentation		developers.eventstore.com	planetscale.com/­docs	www.tiot.jp/­riak-docs/­riak/­ts/­latest
Developer	Atos Convergence Creators	Event Store Limited	PlanetScale	Open Source, formerly Basho Technologies
Initial release	2016	2012	2020	2015
Current release	1703	21.2, February 2021		3.0.0, September 2022
License Commercial or Open Source	commercial	Open Source	commercial	Open Source
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java		Go	Erlang
Server operating systems	Linux	Linux Windows	Docker Linux macOS	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
Secondary indexes	yes		yes	restricted
SQL Support of SQL	no		yes with proprietary extensions	yes, limited
APIs and other access methods	LDAP		ADO.NET JDBC MySQL protocol ODBC	HTTP API Native Erlang Interface
Supported programming languages	All languages with LDAP bindings		Ada C C# C++ D Delphi Eiffel Erlang Haskell Java JavaScript (Node.js) Objective-C OCaml Perl PHP Python Ruby Scheme Tcl	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 proprietary syntax	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		Multi-source replication Source-replica replication	selectable replication factor
MapReduce Offers an API for user-defined Map/Reduce methods			no	yes
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration		Eventual Consistency across shards Immediate Consistency within a shard	Eventual Consistency
Foreign keys Referential integrity	no		yes not for MyISAM storage engine	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 at shard level	no
Concurrency Support for concurrent manipulation of data	yes		yes table locks or row locks depending on storage engine	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		Users with fine-grained authorization concept no user groups or roles	no
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More resources
	Atos Standard Common Repository	EventStoreDB	PlanetScale	Riak TS
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News		PlanetScale ends free tier bid, sheds staff in profitability bid 11 March 2024, The Register PlanetScale forks MySQL to add vector support 3 October 2023, TechCrunch PlanetScale Named to Fortune 2023 Best Small Workplaces 31 August 2023, Business Wire How to Migrate to PlanetScale's Serverless Database 14 October 2021, The New Stack PlanetScale review: Horizontally scalable MySQL in the cloud 1 September 2021, InfoWorld provided by Google News

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