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DBMS > Atos Standard Common Repository vs. Dragonfly vs. GeoSpock vs. Hypertable vs. Lovefield

System Properties Comparison Atos Standard Common Repository vs. Dragonfly vs. GeoSpock vs. Hypertable vs. Lovefield

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDragonfly  Xexclude from comparisonGeoSpock  Xexclude from comparisonHypertable  Xexclude from comparisonLovefield  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Hypertable has stopped its further development with March 2016 and 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 and temporal data processing engine for extreme data scaleAn open source BigTable implementation based on distributed file systems such as HadoopEmbeddable relational database for web apps written in pure JavaScript
Primary database modelDocument store
Key-value store
Key-value storeRelational DBMSWide column storeRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
geospock.comgoogle.github.io/­lovefield
Technical documentationwww.dragonflydb.io/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperAtos Convergence CreatorsDragonflyDB team and community contributorsGeoSpockHypertable Inc.Google
Initial release2016202320092014
Current release17031.0, March 20232.0, September 20190.9.8.11, March 20162.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1commercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java, JavascriptC++JavaScript
Server operating systemsLinuxLinuxhostedLinux
OS X
Windows infoan inofficial Windows port is available
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeSchema and schema-less with LDAP viewsscheme-freeyesschema-freeyes
Typing infopredefined data types such as float or dateoptionalstrings, hashes, lists, sets, sorted sets, bit arraysyesnoyes
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.yesnonono
Secondary indexesyesnotemporal, categoricalrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnonoANSI SQL for query only (using Presto)noSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsLDAPProprietary protocol infoRESP - REdis Serialization ProtocolJDBCC++ API
Thrift
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
C++
Java
Perl
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnoLuanonono
Triggersyespublish/subscribe channels provide some trigger functionalitynonoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionAutomatic shardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationselectable replication factor on file system levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsAtomic execution of command blocks and scriptsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infousing MemoryDB
User concepts infoAccess controlLDAP bind authenticationPassword-based authenticationAccess rights for users can be defined per tablenono

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More resources
Atos Standard Common RepositoryDragonflyGeoSpockHypertableLovefield
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