DBMS > Atos Standard Common Repository vs. Dragonfly vs. Hawkular Metrics vs. SpaceTime

System Properties Comparison Atos Standard Common Repository vs. Dragonfly vs. Hawkular Metrics vs. SpaceTime

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Dragonfly  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	SpaceTime  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	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	SpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database model	Document store Key-value store	Key-value store	Time Series DBMS	Spatial DBMS
Secondary database models				Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.49 Rank #261   Overall #38   Key-value stores	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.03 Rank #392   Overall #8   Spatial DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­dragonflydb/­dragonfly www.dragonflydb.io	www.hawkular.org	www.mireo.com/­spacetime
Technical documentation		www.dragonflydb.io/­docs	www.hawkular.org/­hawkular-metrics/­docs/­user-guide
Developer	Atos Convergence Creators	DragonflyDB team and community contributors	Community supported by Red Hat	Mireo
Initial release	2016	2023	2014	2020
Current release	1703	1.0, March 2023
License Commercial or Open Source	commercial	Open Source BSL 1.1	Open Source Apache 2.0	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++	Java	C++
Server operating systems	Linux	Linux	Linux OS X Windows	Linux
Data scheme	Schema and schema-less with LDAP views	scheme-free	schema-free	yes
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	no	no
Secondary indexes	yes	no	no	no
SQL Support of SQL	no	no	no	A subset of ANSI SQL is implemented
APIs and other access methods	LDAP	Proprietary protocol RESP - REdis Serialization Protocol	HTTP REST	RESTful HTTP API
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	Go Java Python Ruby	C# C++ Python
Server-side scripts Stored procedures	no	Lua	no	no
Triggers	yes	publish/subscribe channels provide some trigger functionality	yes via Hawkular Alerting	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division		Sharding based on Cassandra	Fixed-grid hypercubes
Replication methods Methods for redundantly storing data on multiple nodes	yes	Source-replica replication	selectable replication factor based on Cassandra	Real-time block device replication (DRBD)
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 based on Cassandra Immediate Consistency based on Cassandra	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	no
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	no	yes
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More resources
	Atos Standard Common Repository	Dragonfly	Hawkular Metrics	SpaceTime
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	Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS 5 June 2019, DevClass provided by Google News

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