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DBMS > Atos Standard Common Repository vs. GridGain vs. RRDtool vs. Trafodion

System Properties Comparison Atos Standard Common Repository vs. GridGain vs. RRDtool vs. Trafodion

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGridGain  Xexclude from comparisonRRDtool  Xexclude from comparisonTrafodion  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksGridGain is an in-memory computing platform, built on Apache IgniteIndustry 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.Transactional SQL-on-Hadoop DBMS
Primary database modelDocument store
Key-value store
Key-value store
Relational DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.gridgain.comoss.oetiker.ch/­rrdtooltrafodion.apache.org
Technical documentationwww.gridgain.com/­docs/­index.htmloss.oetiker.ch/­rrdtool/­doctrafodion.apache.org/­documentation.html
DeveloperAtos Convergence CreatorsGridGain Systems, Inc.Tobias OetikerApache Software Foundation, originally developed by HP
Initial release2016200719992014
Current release1703GridGain 8.5.11.8.0, 20222.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V2 and FLOSSOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetC infoImplementations in Java (e.g. RRD4J) and C# availableC++, Java
Server operating systemsLinuxLinux
OS X
Solaris
Windows
HP-UX
Linux
Linux
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 indexesyesyesnoyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnoyes
APIs and other access methodsLDAPHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
in-process shared library
Pipes
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsC#
C++
Java
PHP
Python
Ruby
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
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)noJava Stored Procedures
Triggersyesyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)noneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyes infovia user defined functions and HBase
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 operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes 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.yesyesyesno
User concepts infoAccess controlLDAP bind authenticationSecurity Hooks for custom implementationsnofine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryGridGainRRDtoolTrafodion
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