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DBMS > Atos Standard Common Repository vs. Manticore Search vs. Quasardb vs. ReductStore

System Properties Comparison Atos Standard Common Repository vs. Manticore Search vs. Quasardb vs. ReductStore

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonManticore Search  Xexclude from comparisonQuasardb  Xexclude from comparisonReductStore  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 networksMulti-storage database for search, including full-text search.Distributed, high-performance timeseries databaseDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelDocument store
Key-value store
Search engineTime Series DBMSTime Series DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#312  Overall
#21  Search engines
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorymanticoresearch.comquasar.aigithub.com/­reductstore
www.reduct.store
Technical documentationmanual.manticoresearch.comdoc.quasar.ai/­masterwww.reduct.store/­docs
DeveloperAtos Convergence CreatorsManticore SoftwarequasardbReductStore LLC
Initial release2016201720092023
Current release17036.0, February 20233.14.1, January 20241.9, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoBusiness Source License 1.1
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++C++, Rust
Server operating systemsLinuxFreeBSD
Linux
macOS
Windows
BSD
Linux
OS X
Windows
Docker
Linux
macOS
Windows
Data schemeSchema and schema-less with LDAP viewsFixed schemaschema-free
Typing infopredefined data types such as float or dateoptionalInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes infointeger and binary
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.yesCan index from XMLno
Secondary indexesyesyes infofull-text index on all search fieldsyes infowith tags
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language
APIs and other access methodsLDAPBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP APIHTTP API
Supported programming languagesAll languages with LDAP bindingsElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication based on Galera librarySource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient mode
User concepts infoAccess controlLDAP bind authenticationnoCryptographically strong user authentication and audit trail

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More resources
Atos Standard Common RepositoryManticore SearchQuasardbReductStore
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