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DBMS > Atos Standard Common Repository vs. Dragonfly vs. H2GIS vs. Hawkular Metrics vs. InterSystems Caché

System Properties Comparison Atos Standard Common Repository vs. Dragonfly vs. H2GIS vs. Hawkular Metrics vs. InterSystems Caché

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDragonfly  Xexclude from comparisonH2GIS  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonInterSystems Caché  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceSpatial extension of H2Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A multi-model DBMS and application server
Primary database modelDocument store
Key-value store
Key-value storeSpatial DBMSTime Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.h2gis.orgwww.hawkular.orgwww.intersystems.com/­products/­cache
Technical documentationwww.dragonflydb.io/­docswww.h2gis.org/­docs/­homewww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.intersystems.com
DeveloperAtos Convergence CreatorsDragonflyDB team and community contributorsCNRSCommunity supported by Red HatInterSystems
Initial release20162023201320141997
Current release17031.0, March 20232018.1.4, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1Open Source infoLGPL 3.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaJava
Server operating systemsLinuxLinuxLinux
OS X
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsscheme-freeyesschema-freedepending on used data model
Typing infopredefined data types such as float or dateoptionalstrings, hashes, lists, sets, sorted sets, bit arraysyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesnononoyes
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLnonoyesnoyes
APIs and other access methodsLDAPProprietary protocol infoRESP - REdis Serialization ProtocolHTTP REST.NET Client API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsC
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
JavaGo
Java
Python
Ruby
C#
C++
Java
Server-side scripts infoStored proceduresnoLuayes infobased on H2noyes
Triggersyespublish/subscribe channels provide some trigger functionalityyesyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infobased on H2selectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsAtomic execution of command blocks and scriptsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesnoyes
User concepts infoAccess controlLDAP bind authenticationPassword-based authenticationyes infobased on H2noAccess rights for users, groups and roles

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More resources
Atos Standard Common RepositoryDragonflyH2GISHawkular MetricsInterSystems Caché
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