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

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

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Cloudflare Workers KV  Xexclude from comparison	HyperSQL also known as HSQLDB  Xexclude from comparison	InfinityDB  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.	Multithreaded, transactional RDBMS written in Java also known as HSQLDB	A Java embedded Key-Value Store which extends the Java Map interface
Primary database model	Document store Key-value store	Key-value store	Relational DBMS	Key-value store
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.39 Rank #274   Overall #39   Key-value stores	Score 3.23 Rank #93   Overall #48   Relational DBMS	Score 0.08 Rank #365   Overall #55   Key-value stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.cloudflare.com/­developer-platform/­workers-kv	hsqldb.org	boilerbay.com
Technical documentation		developers.cloudflare.com/­kv/­api	hsqldb.org/­web/­hsqlDocsFrame.html	boilerbay.com/­infinitydb/­manual
Developer	Atos Convergence Creators	Cloudflare		Boiler Bay Inc.
Initial release	2016	2018	2001	2002
Current release	1703		2.7.2, June 2023	4.0
License Commercial or Open Source	commercial	commercial	Open Source based on BSD license	commercial
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	Java
Server operating systems	Linux	hosted	All OS with a Java VM Embedded (into Java applications) and Client-Server operating modes	All OS with a Java VM
Data scheme	Schema and schema-less with LDAP views	schema-free	yes	yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing predefined data types such as float or date	optional	no	yes	yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays
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	yes	no manual creation possible, using inversions based on multi-value capability
SQL Support of SQL	no	no	yes	no
APIs and other access methods	LDAP	HTTP REST Proprietary protocol	HTTP API JDBC via HTTP JDBC ODBC	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languages	All languages with LDAP bindings	C C++ Dart JavaScript Kotlin Python Rust Scala	All languages supporting JDBC/ODBC Java	Java
Server-side scripts Stored procedures	no	no	Java, SQL	no
Triggers	yes	no	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division		none	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes	none	none
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency	Immediate Consistency	Immediate Consistency READ-COMMITTED or SERIALIZED
Foreign keys Referential integrity	no	no	yes	no manual creation possible, using inversions based on multi-value capability
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID	ACID Optimistic locking for transactions; no isolation for bulk loads
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	yes	no
User concepts Access control	LDAP bind authentication		fine grained access rights according to SQL-standard	no
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More resources
	Atos Standard Common Repository	Cloudflare Workers KV	HyperSQL also known as HSQLDB	InfinityDB
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	HyperSQL DataBase flaw leaves library vulnerable to RCE 24 October 2022, The Daily Swig Introduction to JDBC with HSQLDB tutorial 14 November 2022, TheServerSide.com provided by Google News

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