DBMS > Atos Standard Common Repository vs. Bangdb vs. Cloudflare Workers KV vs. Hyprcubd

System Properties Comparison Atos Standard Common Repository vs. Bangdb vs. Cloudflare Workers KV vs. Hyprcubd

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Bangdb  Xexclude from comparison	Cloudflare Workers KV  Xexclude from comparison	Hyprcubd  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.			Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Converged and high performance database for device data, events, time series, document and graph	A global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.	Serverless Time Series DBMS
Primary database model	Document store Key-value store	Document store Graph DBMS Time Series DBMS	Key-value store	Time Series DBMS
Secondary database models		Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.16 Rank #338   Overall #47   Document stores #32   Graph DBMS #31   Time Series DBMS	Score 0.39 Rank #274   Overall #39   Key-value stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	bangdb.com	www.cloudflare.com/­developer-platform/­workers-kv	hyprcubd.com (offline)
Technical documentation		docs.bangdb.com	developers.cloudflare.com/­kv/­api
Developer	Atos Convergence Creators	Sachin Sinha, BangDB	Cloudflare	Hyprcubd, Inc.
Initial release	2016	2012	2018
Current release	1703	BangDB 2.0, October 2021
License Commercial or Open Source	commercial	Open Source BSD 3	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	yes	yes
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	C, C++		Go
Server operating systems	Linux	Linux	hosted	hosted
Data scheme	Schema and schema-less with LDAP views	schema-free	schema-free	yes
Typing predefined data types such as float or date	optional	yes: string, long, double, int, geospatial, stream, events	no	yes time, int, uint, float, string
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	yes secondary, composite, nested, reverse, geospatial	no	no
SQL Support of SQL	no	SQL like support with command line tool	no	SQL-like query language
APIs and other access methods	LDAP	Proprietary protocol RESTful HTTP API	HTTP REST Proprietary protocol	gRPC (https)
Supported programming languages	All languages with LDAP bindings	C C# C++ Java Python	C C++ Dart JavaScript Kotlin Python Rust Scala
Server-side scripts Stored procedures	no	no	no	no
Triggers	yes	yes, Notifications (with Streaming only)	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor, Knob for CAP (enterprise version only)	yes
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	Tunable consistency, set CAP knob accordingly	Eventual Consistency	Eventual Consistency
Foreign keys Referential integrity	no	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	no	no
Concurrency Support for concurrent manipulation of data	yes	yes, optimistic concurrency control	yes	no
Durability Support for making data persistent	yes	yes, implements WAL (Write ahead log) as well	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes, run db with in-memory only mode	no	no
User concepts Access control	LDAP bind authentication	yes (enterprise version only)		token access
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More resources
	Atos Standard Common Repository	Bangdb	Cloudflare Workers KV	Hyprcubd
Recent citations in the 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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