DBMS > Atos Standard Common Repository vs. Cachelot.io vs. IBM Db2 Event Store vs. Riak TS vs. TerarkDB

System Properties Comparison Atos Standard Common Repository vs. Cachelot.io vs. IBM Db2 Event Store vs. Riak TS vs. TerarkDB

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Cachelot.io  Xexclude from comparison	IBM Db2 Event Store  Xexclude from comparison	Riak TS  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	In-memory caching system	Distributed Event Store optimized for Internet of Things use cases	Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV	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	Key-value store	Event Store Time Series DBMS	Time Series DBMS	Key-value store
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.04 Rank #388   Overall #62   Key-value stores	Score 0.27 Rank #309   Overall #2   Event Stores #28   Time Series DBMS	Score 0.28 Rank #307   Overall #27   Time Series DBMS	Score 0.08 Rank #367   Overall #56   Key-value stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	cachelot.io	www.ibm.com/­products/­db2-event-store		github.com/­bytedance/­terarkdb
Technical documentation			www.ibm.com/­docs/­en/­db2-event-store	www.tiot.jp/­riak-docs/­riak/­ts/­latest	bytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
Developer	Atos Convergence Creators		IBM	Open Source, formerly Basho Technologies	ByteDance, originally Terark
Initial release	2016	2015	2017	2015	2016
Current release	1703		2.0	3.0.0, September 2022
License Commercial or Open Source	commercial	Open Source Simplified BSD License	commercial free developer edition available	Open Source	commercial restricted open source version available
Cloud-based only Only available as a cloud service	no	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 C++	Erlang	C++
Server operating systems	Linux	FreeBSD Linux OS X	Linux Linux, macOS, Windows for the developer addition	Linux OS X
Data scheme	Schema and schema-less with LDAP views	schema-free	yes	schema-free	schema-free
Typing predefined data types such as float or date	optional	no	yes	no	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	no	no
Secondary indexes	yes	no	no	restricted	no
SQL Support of SQL	no	no	yes through the embedded Spark runtime	yes, limited	no
APIs and other access methods	LDAP	Memcached protocol	ADO.NET DB2 Connect JDBC ODBC RESTful HTTP API	HTTP API Native Erlang Interface	C++ API Java API
Supported programming languages	All languages with LDAP bindings	.Net C C++ ColdFusion Erlang Java Lisp Lua OCaml OCaml Perl PHP Python Ruby	C C# C++ Cobol Delphi Fortran Go Java JavaScript (Node.js) Perl PHP Python R Ruby Scala 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	C++ Java
Server-side scripts Stored procedures	no	no	yes	Erlang	no
Triggers	yes	no	no	yes pre-commit hooks and post-commit hooks	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	Sharding	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	none	Active-active shard replication	selectable replication factor	none
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	yes	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	none	Eventual Consistency	Eventual Consistency
Foreign keys Referential integrity	no	no	no	no links between datasets can be stored	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	no	no	no
Concurrency Support for concurrent manipulation of data	yes	yes	No - written data is immutable	yes	yes
Durability Support for making data persistent	yes	no	Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no	yes		yes
User concepts Access control	LDAP bind authentication	no	fine grained access rights according to SQL-standard	no	no
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More resources
	Atos Standard Common Repository	Cachelot.io	IBM Db2 Event Store	Riak TS	TerarkDB
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News		Advancements in streaming data storage, real-time analysis and machine learning 25 July 2019, ibm.com How IBM Is Turning Db2 into an 'AI Database' 3 June 2019, Datanami Best cloud databases of 2022 4 October 2022, ITPro Why a robust data management strategy is essential today | IBM HDM 19 September 2019, Express Computer provided by Google 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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