DBMS > Atos Standard Common Repository vs. Dragonfly vs. Postgres-XL vs. searchxml

System Properties Comparison Atos Standard Common Repository vs. Dragonfly vs. Postgres-XL vs. searchxml

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Dragonfly  Xexclude from comparison	Postgres-XL  Xexclude from comparison	searchxml  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 drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instance	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features	DBMS for structured and unstructured content wrapped with an application server
Primary database model	Document store Key-value store	Key-value store	Relational DBMS	Native XML DBMS Search engine
Secondary database models			Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.49 Rank #261   Overall #38   Key-value stores	Score 0.53 Rank #254   Overall #117   Relational DBMS	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	www.postgres-xl.org	www.searchxml.net/­category/­products
Technical documentation		www.dragonflydb.io/­docs	www.postgres-xl.org/­documentation	www.searchxml.net/­support/­handouts
Developer	Atos Convergence Creators	DragonflyDB team and community contributors		informationpartners gmbh
Initial release	2016	2023	2014 since 2012, originally named StormDB	2015
Current release	1703	1.0, March 2023	10 R1, October 2018	1.0
License Commercial or Open Source	commercial	Open Source BSL 1.1	Open Source Mozilla public license	commercial
Cloud-based only Only available as a cloud service	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	C++
Server operating systems	Linux	Linux	Linux macOS	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	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	yes XML type, but no XML query functionality	yes
Secondary indexes	yes	no	yes	yes
SQL Support of SQL	no	no	yes distributed, parallel query execution	no
APIs and other access methods	LDAP	Proprietary protocol RESP - REdis Serialization Protocol	ADO.NET JDBC native C library ODBC streaming API for large objects	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	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl	C++ most other programming languages supported via APIs
Server-side scripts Stored procedures	no	Lua	user defined functions	yes on the application server
Triggers	yes	publish/subscribe channels provide some trigger functionality	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division		horizontal partitioning	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	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	yes	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	ACID MVCC	multiple readers, single writer
Concurrency Support for concurrent manipulation of data	yes	yes, strict serializability by the server	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	yes	no	no
User concepts Access control	LDAP bind authentication	Password-based authentication	fine grained access rights according to SQL-standard	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	Postgres-XL	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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