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DBMS > Atos Standard Common Repository vs. Transwarp Hippo

System Properties Comparison Atos Standard Common Repository vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonTranswarp Hippo  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 networksCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelDocument store
Key-value store
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#392  Overall
#14  Vector DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.transwarp.cn/­en/­subproduct/­hippo
DeveloperAtos Convergence Creators
Initial release20162023
Current release17031.0, May 2023
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinuxLinux
macOS
Data schemeSchema and schema-less with LDAP views
Typing infopredefined data types such as float or dateoptionalVector, Numeric and String
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 indexesyesno
SQL infoSupport of SQLnono
APIs and other access methodsLDAPRESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsC++
Java
Python
Server-side scripts infoStored proceduresnono
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate 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 datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlLDAP bind authenticationRole based access control and fine grained access rights

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