DBMS > Atos Standard Common Repository vs. Cloudflare Workers KV vs. InfinityDB vs. Riak TS

System Properties Comparison Atos Standard Common Repository vs. Cloudflare Workers KV vs. InfinityDB vs. Riak TS

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Cloudflare Workers KV  Xexclude from comparison	InfinityDB  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	A global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.	A Java embedded Key-Value Store which extends the Java Map interface	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	Key-value store	Key-value store	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.39 Rank #274   Overall #39   Key-value stores	Score 0.08 Rank #365   Overall #55   Key-value stores	Score 0.28 Rank #307   Overall #27   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.cloudflare.com/­developer-platform/­workers-kv	boilerbay.com
Technical documentation		developers.cloudflare.com/­kv/­api	boilerbay.com/­infinitydb/­manual	www.tiot.jp/­riak-docs/­riak/­ts/­latest
Developer	Atos Convergence Creators	Cloudflare	Boiler Bay Inc.	Open Source, formerly Basho Technologies
Initial release	2016	2018	2002	2015
Current release	1703		4.0	3.0.0, September 2022
License Commercial or Open Source	commercial	commercial	commercial	Open Source
Cloud-based only Only available as a cloud service	no	yes	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java		Java	Erlang
Server operating systems	Linux	hosted	All OS with a Java VM	Linux OS X
Data scheme	Schema and schema-less with LDAP views	schema-free	yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade	schema-free
Typing predefined data types such as float or date	optional	no	yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays	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
Secondary indexes	yes	no	no manual creation possible, using inversions based on multi-value capability	restricted
SQL Support of SQL	no	no	no	yes, limited
APIs and other access methods	LDAP	HTTP REST Proprietary protocol	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)	HTTP API Native Erlang Interface
Supported programming languages	All languages with LDAP bindings	C C++ Dart JavaScript Kotlin Python Rust Scala	Java	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	no	Erlang
Triggers	yes	no	no	yes pre-commit hooks and post-commit hooks
Partitioning methods Methods for storing different data on different nodes	Sharding cell division		none	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes	none	selectable replication factor
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	yes
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency	Immediate Consistency READ-COMMITTED or SERIALIZED	Eventual Consistency
Foreign keys Referential integrity	no	no	no manual creation possible, using inversions based on multi-value capability	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	ACID Optimistic locking for transactions; no isolation for bulk loads	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no	no
User concepts Access control	LDAP bind authentication		no	no
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More resources
	Atos Standard Common Repository	Cloudflare Workers KV	InfinityDB	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	Cloudflare updates Workers platform with Python support, event notifications, and improved local development ... 3 April 2024, DevClass Cloudflare recovers from service outage after power failure at core North American data center 3 November 2023, DatacenterDynamics Cloudflare dashboard, API service feeling poorly due to datacenter power snafu 2 November 2023, The Register Cloudflare is (still) struggling with another outage - here's what to know 3 November 2023, ZDNet How to Build a Scalable URL Shortener With Cloudflare Workers and KV Under 10 Minutes 21 August 2022, hackernoon.com provided by Google News

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