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

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

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Drizzle  Xexclude from comparison	EventStoreDB  Xexclude from comparison	Riak TS  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.	Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.	Industrial-strength, open-source database solution built from the ground up for event sourcing.	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	Relational DBMS	Event 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 0.28 Rank #307   Overall #27   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository		www.eventstore.com
Technical documentation			developers.eventstore.com	www.tiot.jp/­riak-docs/­riak/­ts/­latest
Developer	Atos Convergence Creators	Drizzle project, originally started by Brian Aker	Event Store Limited	Open Source, formerly Basho Technologies
Initial release	2016	2008	2012	2015
Current release	1703	7.2.4, September 2012	21.2, February 2021	3.0.0, September 2022
License Commercial or Open Source	commercial	Open Source GNU GPL	Open Source	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	FreeBSD Linux OS X	Linux Windows	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	JDBC		HTTP API Native Erlang Interface
Supported programming languages	All languages with LDAP bindings	C C++ Java PHP		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	no		Erlang
Triggers	yes	no hooks for callbacks inside the server can be used.		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
Foreign keys Referential integrity	no	yes		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		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
User concepts Access control	LDAP bind authentication	Pluggable authentication mechanisms e.g. LDAP, HTTP		no
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More resources
	Atos Standard Common Repository	Drizzle	EventStoreDB	Riak TS
DB-Engines blog posts		MySQL won the April ranking; did its forks follow? 1 April 2015, Paul Andlinger Has MySQL finally lost its mojo? 1 July 2013, Matthias Gelbmann show all
Recent citations in the news				New Basho Data Platform Provides Operational Simplicity for Enterprise Big Data Applications 7 June 2015, insideBIGDATA provided by Google News

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