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DBMS > Atos Standard Common Repository vs. Firebolt vs. Hive vs. SWC-DB

System Properties Comparison Atos Standard Common Repository vs. Firebolt vs. Hive vs. SWC-DB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonFirebolt  Xexclude from comparisonHive  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 networksHighly scalable cloud data warehouse and analytics product infoForked from Clickhousedata warehouse software for querying and managing large distributed datasets, built on HadoopA high performance, scalable Wide Column DBMS
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.firebolt.iohive.apache.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.firebolt.iocwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperAtos Convergence CreatorsFirebolt Analytics Inc.Apache Software Foundation infoinitially developed by FacebookAlex Kashirin
Initial release2016202020122020
Current release17033.1.3, April 20220.5, April 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsLinuxhostedAll OS with a Java VMLinux
Data schemeSchema and schema-less with LDAP viewsyesyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyes
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.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsLDAP.Net
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Proprietary protocol
Thrift
Supported programming languagesAll languages with LDAP bindingsGo
JavaScript (Node.js)
Python
C++
Java
PHP
Python
C++
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reduceno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layerselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 authenticationAccess rights for users, groups and roles

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More resources
Atos Standard Common RepositoryFireboltHiveSWC-DB infoSuper Wide Column Database
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