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

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

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHyprcubd  Xexclude from comparisonKdb  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 DBMSHigh performance Time Series DBMSSearch-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 DBMSTime Series DBMS
Vector DBMS
Search engineTime Series DBMS
Secondary database modelsRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector 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)kx.comazure.microsoft.com/­en-us/­services/­searchoss.oetiker.ch/­rrdtool
Technical documentationcode.kx.comlearn.microsoft.com/­en-us/­azure/­searchoss.oetiker.ch/­rrdtool/­doc
DeveloperAtos Convergence CreatorsHyprcubd, Inc.Kx Systems, a division of First Derivatives plcMicrosoftTobias Oetiker
Initial release20162000 infokdb was released 2000, kdb+ in 200320151999
Current release17033.6, May 2018V11.8.0, 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree 32-bit versioncommercialOpen 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 languageJavaGoqC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinuxhostedLinux
OS X
Solaris
Windows
hostedHP-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.yesnoyesnono infoExporting into and restoring from XML files possible
Secondary indexesyesnoyes infotable attribute 'grouped'yesno
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language (q)nono
APIs and other access methodsLDAPgRPC (https)HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP APIin-process shared library
Pipes
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
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 infowith viewsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioningSharding 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 methodsnono infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate 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.yesnoyesnoyes
User concepts infoAccess controlLDAP bind authenticationtoken accessrights management via user accountsyes infousing Azure authenticationno
More information provided by the system vendor
Atos Standard Common RepositoryHyprcubdKdbMicrosoft Azure AI SearchRRDtool
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Atos Standard Common RepositoryHyprcubdKdbMicrosoft Azure AI SearchRRDtool
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