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DBMS > Atos Standard Common Repository vs. RethinkDB vs. RRDtool vs. Teradata

System Properties Comparison Atos Standard Common Repository vs. RethinkDB vs. RRDtool vs. Teradata

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonRethinkDB  Xexclude from comparisonRRDtool  Xexclude from comparisonTeradata  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 networksDBMS for the Web with a mechanism to push updated query results to applications in realtime.Industry 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.A hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument store
Key-value store
Document storeTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.74
Rank#105  Overall
#19  Document stores
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryrethinkdb.comoss.oetiker.ch/­rrdtoolwww.teradata.com
Technical documentationrethinkdb.com/­docsoss.oetiker.ch/­rrdtool/­docdocs.teradata.com
DeveloperAtos Convergence CreatorsThe Linux Foundation infosince July 2017Tobias OetikerTeradata
Initial release2016200919991984
Current release17032.4.1, August 20201.8.0, 2022Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoGPL V2 and FLOSScommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinuxLinux
OS X
Windows
HP-UX
Linux
hosted
Linux
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalyes infostring, binary, float, bool, date, geometryNumeric 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.yesnono infoExporting into and restoring from XML files possibleyes
Secondary indexesyesyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnononoyes infoSQL 2016 + extensions
APIs and other access methodsLDAPin-process shared library
Pipes
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesAll languages with LDAP bindingsC infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
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
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyes infoUDFs, stored procedures, table functions in parallel
TriggersyesClient-side triggers through changefeedsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding inforange basednoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsAtomic single-document operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCC basedyes 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.yesnoyesyes
User concepts infoAccess controlLDAP bind authenticationyes infousers and table-level permissionsnofine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryRethinkDBRRDtoolTeradata
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