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DBMS > Atos Standard Common Repository vs. HBase vs. Manticore Search vs. Valentina Server

System Properties Comparison Atos Standard Common Repository vs. HBase vs. Manticore Search vs. Valentina Server

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHBase  Xexclude from comparisonManticore Search  Xexclude from comparisonValentina Server  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 networksWide-column store based on Apache Hadoop and on concepts of BigTableMulti-storage database for search, including full-text search.Object-relational database and reports server
Primary database modelDocument store
Key-value store
Wide column storeSearch engineRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.22
Rank#312  Overall
#21  Search engines
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryhbase.apache.orgmanticoresearch.comwww.valentina-db.net
Technical documentationhbase.apache.org/­book.htmlmanual.manticoresearch.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAtos Convergence CreatorsApache Software Foundation infoApache top-level project, originally developed by PowersetManticore SoftwareParadigma Software
Initial release2016200820171999
Current release17032.3.4, January 20216.0, February 20235.7.5
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoGPL version 2commercial
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 languageJavaJavaC++
Server operating systemsLinuxLinux
Unix
Windows infousing Cygwin
FreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsschema-free, schema definition possibleFixed schemayes
Typing infopredefined data types such as float or dateoptionaloptions to bring your own types, AVROInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.yesnoCan index from XML
Secondary indexesyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnonoSQL-like query languageyes
APIs and other access methodsLDAPJava API
RESTful HTTP API
Thrift
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ODBC
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Groovy
Java
PHP
Python
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javauser defined functionsyes
Triggersyesyesnoyes
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 nodesyesMulti-source replication
Source-replica replication
Synchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsSingle row ACID (across millions of columns)yes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlLDAP bind authenticationAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnofine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryHBaseManticore SearchValentina Server
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