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DBMS > Atos Standard Common Repository vs. Hyprcubd vs. Kinetica vs. Microsoft Azure AI Search vs. RRDtool

System Properties Comparison Atos Standard Common Repository vs. Hyprcubd vs. Kinetica vs. Microsoft Azure AI Search vs. RRDtool

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHyprcubd  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRRDtool  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Hyprcubd 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 networksServerless Time Series DBMSFully vectorized database across both GPUs and CPUsSearch-as-a-service for web and mobile app developmentIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelDocument store
Key-value store
Time Series DBMSRelational DBMSSearch engineTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryhyprcubd.com (offline)www.kinetica.comazure.microsoft.com/­en-us/­services/­searchoss.oetiker.ch/­rrdtool
Technical documentationdocs.kinetica.comlearn.microsoft.com/­en-us/­azure/­searchoss.oetiker.ch/­rrdtool/­doc
DeveloperAtos Convergence CreatorsHyprcubd, Inc.KineticaMicrosoftTobias Oetiker
Initial release2016201220151999
Current release17037.1, August 2021V11.8.0, 2022
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC, C++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinuxhostedLinuxhostedHP-UX
Linux
Data schemeSchema and schema-less with LDAP viewsyesyesyesyes
Typing infopredefined data types such as float or dateoptionalyes infotime, int, uint, float, stringyesyesNumeric 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.yesnononono infoExporting into and restoring from XML files possible
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLnoSQL-like query languageSQL-like DML and DDL statementsnono
APIs and other access methodsLDAPgRPC (https)JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIin-process shared library
Pipes
Supported programming languagesAll languages with LDAP bindingsC++
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresnonouser defined functionsnono
Triggersyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistencynone
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnononono
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlLDAP bind authenticationtoken accessAccess rights for users and roles on table levelyes infousing Azure authenticationno

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More resources
Atos Standard Common RepositoryHyprcubdKineticaMicrosoft Azure AI SearchRRDtool
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