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

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

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHyprcubd  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPlanetScale  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 DBMSSearch-as-a-service for web and mobile app developmentScalable, distributed, serverless MySQL database platform built on top of VitessIndustry 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 DBMSSearch engineRelational DBMSTime Series DBMS
Secondary database modelsVector DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.52
Rank#59  Overall
#6  Search engines
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryhyprcubd.com (offline)azure.microsoft.com/­en-us/­services/­searchplanetscale.comoss.oetiker.ch/­rrdtool
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchplanetscale.com/­docsoss.oetiker.ch/­rrdtool/­doc
DeveloperAtos Convergence CreatorsHyprcubd, Inc.MicrosoftPlanetScaleTobias Oetiker
Initial release2016201520201999
Current release1703V11.8.0, 2022
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenoyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoGoC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinuxhostedhostedDocker
Linux
macOS
HP-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.yesnonono infoExporting into and restoring from XML files possible
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLnoSQL-like query languagenoyes infowith proprietary extensionsno
APIs and other access methodsLDAPgRPC (https)RESTful HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
in-process shared library
Pipes
Supported programming languagesAll languages with LDAP bindingsC#
Java
JavaScript
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
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 proceduresnononoyes infoproprietary syntaxno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infoImplicit feature of the cloud serviceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
none
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 ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
none
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonoACID at shard levelno
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes infotable locks or row locks depending on storage engineyes 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.yesnonoyesyes
User concepts infoAccess controlLDAP bind authenticationtoken accessyes infousing Azure authenticationUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
Atos Standard Common RepositoryHyprcubdMicrosoft Azure AI SearchPlanetScaleRRDtool
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