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DBMS > Atos Standard Common Repository vs. atoti vs. Kdb vs. RRDtool vs. Yaacomo

System Properties Comparison Atos Standard Common Repository vs. atoti vs. Kdb vs. RRDtool vs. Yaacomo

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonatoti  Xexclude from comparisonKdb  Xexclude from comparisonRRDtool  Xexclude from comparisonYaacomo  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.High performance Time Series DBMSIndustry 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.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Key-value store
Object oriented DBMSTime Series DBMS
Vector DBMS
Time Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryatoti.iokx.comoss.oetiker.ch/­rrdtoolyaacomo.com
Technical documentationdocs.atoti.iocode.kx.comoss.oetiker.ch/­rrdtool/­doc
DeveloperAtos Convergence CreatorsActiveViamKx Systems, a division of First Derivatives plcTobias OetikerQ2WEB GmbH
Initial release20162000 infokdb was released 2000, kdb+ in 200319992009
Current release17033.6, May 20181.8.0, 2022
License infoCommercial or Open Sourcecommercialcommercial infofree versions availablecommercial infofree 32-bit versionOpen Source infoGPL V2 and FLOSScommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaqC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinuxLinux
OS X
Solaris
Windows
HP-UX
Linux
Android
Linux
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateoptionalyesNumeric data onlyyes
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.yesyesno infoExporting into and restoring from XML files possibleno
Secondary indexesyesyes infotable attribute 'grouped'noyes
SQL infoSupport of SQLnoMultidimensional Expressions (MDX)SQL-like query language (q)noyes
APIs and other access methodsLDAPHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
in-process shared library
Pipes
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
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 proceduresnoPythonuser defined functionsno
Triggersyesyes infowith viewsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding, horizontal partitioninghorizontal partitioningnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnoneSource-replica replication
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 configurationImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesyes
User concepts infoAccess controlLDAP bind authenticationrights management via user accountsnofine grained access rights according to SQL-standard
More information provided by the system vendor
Atos Standard Common RepositoryatotiKdbRRDtoolYaacomo
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 RepositoryatotiKdbRRDtoolYaacomo
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