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

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

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonDragonfly  Xexclude from comparisonManticore Search  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 networksBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA 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.
Primary database modelDocument store
Key-value store
Document storeKey-value storeSearch engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score0.41
Rank#266  Overall
#38  Key-value stores
Score0.22
Rank#312  Overall
#21  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
manticoresearch.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.dragonflydb.io/­docsmanual.manticoresearch.com
DeveloperAtos Convergence CreatorsDragonflyDB team and community contributorsManticore Software
Initial release2016201620232017
Current release17031.0, March 20236.0, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infoBSL 1.1Open Source infoGPL version 2
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 languageJavaPythonC++C++
Server operating systemsLinuxLinuxLinuxFreeBSD
Linux
macOS
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freescheme-freeFixed schema
Typing infopredefined data types such as float or dateoptionalnostrings, hashes, lists, sets, sorted sets, bit arraysInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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.yesnonoCan index from XML
Secondary indexesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLnononoSQL-like query language
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocolBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
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
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnoLuauser defined functions
Triggersyespublish/subscribe channels provide some trigger functionalityno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replicationSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual 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 writes
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the serveryes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes infoThe original contents of fields are not stored in the Manticore index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlLDAP bind authenticationyesPassword-based authenticationno

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More resources
Atos Standard Common RepositoryBigchainDBDragonflyManticore Search
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