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DBMS > Atos Standard Common Repository vs. Coveo vs. IRONdb vs. Manticore Search

System Properties Comparison Atos Standard Common Repository vs. Coveo vs. IRONdb vs. Manticore Search

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonCoveo  Xexclude from comparisonIRONdb  Xexclude from comparisonManticore Search  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityMulti-storage database for search, including full-text search.
Primary database modelDocument store
Key-value store
Search engineTime Series DBMSSearch engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#114  Overall
#11  Search engines
Score0.22
Rank#312  Overall
#21  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.coveo.comwww.circonus.com/solutions/time-series-database/manticoresearch.com
Technical documentationdocs.coveo.comdocs.circonus.com/irondb/category/getting-startedmanual.manticoresearch.com
DeveloperAtos Convergence CreatorsCoveoCirconus LLC.Manticore Software
Initial release2016201220172017
Current release1703V0.10.20, January 20186.0, February 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C++
Server operating systemsLinuxhostedLinuxFreeBSD
Linux
macOS
Windows
Data schemeSchema and schema-less with LDAP viewshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeFixed schema
Typing infopredefined data types such as float or dateoptionalyesyes infotext, numeric, histogramsInt, 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 indexesyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLnonoSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query language
APIs and other access methodsLDAPRESTful HTTP APIHTTP APIBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesAll languages with LDAP bindingsC#
Java
JavaScript
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnonoyes, in Luauser defined functions
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionyesAutomatic, metric affinity per nodeSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesconfigurable replication factor, datacenter awareSynchronous 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 configurationImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesnoyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.yesno
User concepts infoAccess controlLDAP bind authenticationgranular access controls, API key management, content filtersnono

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More resources
Atos Standard Common RepositoryCoveoIRONdbManticore Search
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