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DBMS > RRDtool vs. Spark SQL vs. Transwarp ArgoDB vs. Yaacomo

System Properties Comparison RRDtool vs. Spark SQL vs. Transwarp ArgoDB vs. Yaacomo

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Editorial information provided by DB-Engines
NameRRDtool  Xexclude from comparisonSpark SQL  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionIndustry 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.Spark SQL is a component on top of 'Spark Core' for structured data processingDistributed Analytical Database to replace Hadoop+MPP hybrid architectureOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.12
Rank#348  Overall
#151  Relational DBMS
Websiteoss.oetiker.ch/­rrdtoolspark.apache.org/­sqlwww.transwarp.cn/­en/­product/­argodbyaacomo.com
Technical documentationoss.oetiker.ch/­rrdtool/­docspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperTobias OetikerApache Software FoundationTranswarpQ2WEB GmbH
Initial release199920142009
Current release1.8.0, 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoGPL V2 and FLOSSOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC infoImplementations in Java (e.g. RRD4J) and C# availableScala
Server operating systemsHP-UX
Linux
Linux
OS X
Windows
Android
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateNumeric data onlyyesyesyes
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.no infoExporting into and restoring from XML files possiblenono
Secondary indexesnonoyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesyes
APIs and other access methodsin-process shared library
Pipes
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC 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
Java
Python
R
Scala
Server-side scripts infoStored proceduresnono
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark Corehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayes infoby using the rrdcached daemonyesyesyes
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.yesnoyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standard

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More resources
RRDtoolSpark SQLTranswarp ArgoDBYaacomo
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