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DBMS > Atos Standard Common Repository vs. Manticore Search vs. Postgres-XL vs. Prometheus vs. ReductStore

System Properties Comparison Atos Standard Common Repository vs. Manticore Search vs. Postgres-XL vs. Prometheus vs. ReductStore

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonManticore Search  Xexclude from comparisonPostgres-XL  Xexclude from comparisonPrometheus  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.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen-source Time Series DBMS and monitoring systemDesigned 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 engineRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#302  Overall
#21  Search engines
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorymanticoresearch.comwww.postgres-xl.orgprometheus.iogithub.com/­reductstore
www.reduct.store
Technical documentationmanual.manticoresearch.comwww.postgres-xl.org/­documentationprometheus.io/­docswww.reduct.store/­docs
DeveloperAtos Convergence CreatorsManticore SoftwareReductStore LLC
Initial release201620172014 infosince 2012, originally named StormDB20152023
Current release17036.0, February 202310 R1, October 20181.9, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2Open Source infoMozilla public licenseOpen Source infoApache 2.0Open Source infoBusiness Source License 1.1
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++CGoC++, Rust
Server operating systemsLinuxFreeBSD
Linux
macOS
Windows
Linux
macOS
Linux
Windows
Docker
Linux
macOS
Windows
Data schemeSchema and schema-less with LDAP viewsFixed schemayesyes
Typing infopredefined data types such as float or dateoptionalInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, BooleanyesNumeric data only
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 XMLyes infoXML type, but no XML query functionalityno infoImport of XML data possible
Secondary indexesyesyes infofull-text index on all search fieldsyesno
SQL infoSupport of SQLnoSQL-like query languageyes infodistributed, parallel query executionno
APIs and other access methodsLDAPBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON APIHTTP API
Supported programming languagesAll languages with LDAP bindingsElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication based on Galera libraryyes infoby Federation
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 configurationImmediate Consistencynone
Foreign keys infoReferential integritynonoyesno
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 infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlLDAP bind authenticationnofine grained access rights according to SQL-standardno

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More resources
Atos Standard Common RepositoryManticore SearchPostgres-XLPrometheusReductStore
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