DBMS > Atos Standard Common Repository vs. Dragonfly vs. Hyprcubd vs. searchxml

System Properties Comparison Atos Standard Common Repository vs. Dragonfly vs. Hyprcubd vs. searchxml

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Dragonfly  Xexclude from comparison	Hyprcubd  Xexclude from comparison	searchxml  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	A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instance	Serverless Time Series DBMS	DBMS for structured and unstructured content wrapped with an application server
Primary database model	Document store Key-value store	Key-value store	Time Series DBMS	Native XML DBMS Search engine
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.49 Rank #261   Overall #38   Key-value stores		Score 0.03 Rank #390   Overall #7   Native XML DBMS #24   Search engines
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­dragonflydb/­dragonfly www.dragonflydb.io	hyprcubd.com (offline)	www.searchxml.net/­category/­products
Technical documentation		www.dragonflydb.io/­docs		www.searchxml.net/­support/­handouts
Developer	Atos Convergence Creators	DragonflyDB team and community contributors	Hyprcubd, Inc.	informationpartners gmbh
Initial release	2016	2023		2015
Current release	1703	1.0, March 2023		1.0
License Commercial or Open Source	commercial	Open Source BSL 1.1	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	C++	Go	C++
Server operating systems	Linux	Linux	hosted	Windows
Data scheme	Schema and schema-less with LDAP views	scheme-free	yes	schema-free
Typing predefined data types such as float or date	optional	strings, hashes, lists, sets, sorted sets, bit arrays	yes time, int, uint, float, string	yes
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	yes
Secondary indexes	yes	no	no	yes
SQL Support of SQL	no	no	SQL-like query language	no
APIs and other access methods	LDAP	Proprietary protocol RESP - REdis Serialization Protocol	gRPC (https)	RESTful HTTP API WebDAV XQuery XSLT
Supported programming languages	All languages with LDAP bindings	C C# C++ Clojure D Dart Elixir Erlang Go Haskell Java JavaScript (Node.js) Lisp Lua Objective-C Perl PHP Python R Ruby Rust Scala Swift Tcl		C++ most other programming languages supported via APIs
Server-side scripts Stored procedures	no	Lua	no	yes on the application server
Triggers	yes	publish/subscribe channels provide some trigger functionality	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division			none
Replication methods Methods for redundantly storing data on multiple nodes	yes	Source-replica replication		yes sychronisation to multiple collections
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	Eventual Consistency	Immediate 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	Atomic execution of command blocks and scripts	no	multiple readers, single writer
Concurrency Support for concurrent manipulation of data	yes	yes, strict serializability by the server	no	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	yes	no	no
User concepts Access control	LDAP bind authentication	Password-based authentication	token access	Domain, group and role-based access control at the document level and for application services
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More resources
	Atos Standard Common Repository	Dragonfly	Hyprcubd	searchxml
Recent citations in the news		DragonflyDB Announces $21m in New Funding and General Availability 21 March 2023, businesswire.com DragonflyDB reels in $21M for its speedy in-memory database 21 March 2023, SiliconANGLE News Dragonfly 1.0 Released For What Claims To Be The World's Fastest In-Memory Data Store 20 March 2023, Phoronix Intel Linux Kernel Optimizations Show Huge Benefit For High Core Count Servers 29 March 2023, Phoronix SFU Computing Science researchers receive 2022 ACM SIGMOD Research Highlight Award. 24 February 2023, Simon Fraser University News provided by Google News

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