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DBMS > Atos Standard Common Repository vs. Dragonfly vs. Manticore Search vs. Splunk

System Properties Comparison Atos Standard Common Repository vs. Dragonfly vs. Manticore Search vs. Splunk

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDragonfly  Xexclude from comparisonManticore Search  Xexclude from comparisonSplunk  Xexclude from comparison
This system has been discontinued and will be 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 instanceMulti-storage database for search, including full-text search.Analytics Platform for Big Data
Primary database modelDocument store
Key-value store
Key-value storeSearch engineSearch engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score0.22
Rank#312  Overall
#21  Search engines
Score86.45
Rank#14  Overall
#2  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
manticoresearch.comwww.splunk.com
Technical documentationwww.dragonflydb.io/­docsmanual.manticoresearch.comdocs.splunk.com/­Documentation/­Splunk
DeveloperAtos Convergence CreatorsDragonflyDB team and community contributorsManticore SoftwareSplunk Inc.
Initial release2016202320172003
Current release17031.0, March 20236.0, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1Open Source infoGPL version 2commercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemsLinuxLinuxFreeBSD
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsscheme-freeFixed schemayes
Typing infopredefined data types such as float or dateoptionalstrings, hashes, lists, sets, sorted sets, bit arraysInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.yesnoCan index from XMLyes
Secondary indexesyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnonoSQL-like query languageno infoSplunk Search Processing Language for search commands
APIs and other access methodsLDAPProprietary protocol infoRESP - REdis Serialization ProtocolBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP REST
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
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoLuauser defined functionsyes
Triggersyespublish/subscribe channels provide some trigger functionalitynoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSynchronous replication based on Galera libraryMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsAtomic execution of command blocks and scriptsyes infoisolated transactions for atomic changes and binary logging for safe writesno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlLDAP bind authenticationPassword-based authenticationnoAccess rights for users and roles

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More resources
Atos Standard Common RepositoryDragonflyManticore SearchSplunk
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