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DBMS > GeoMesa vs. RRDtool vs. Sphinx vs. Trafodion

System Properties Comparison GeoMesa vs. RRDtool vs. Sphinx vs. Trafodion

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonRRDtool  Xexclude from comparisonSphinx  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.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.Open source search engine for searching in data from different sources, e.g. relational databasesTransactional SQL-on-Hadoop DBMS
Primary database modelSpatial DBMSTime Series DBMSSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.geomesa.orgoss.oetiker.ch/­rrdtoolsphinxsearch.comtrafodion.apache.org
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmloss.oetiker.ch/­rrdtool/­docsphinxsearch.com/­docstrafodion.apache.org/­documentation.html
DeveloperCCRi and othersTobias OetikerSphinx Technologies Inc.Apache Software Foundation, originally developed by HP
Initial release2014199920012014
Current release4.0.5, February 20241.8.0, 20223.5.1, February 20232.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoGPL V2 and FLOSSOpen Source infoGPL version 2, commercial licence availableOpen 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 languageScalaC infoImplementations in Java (e.g. RRD4J) and C# availableC++C++, Java
Server operating systemsHP-UX
Linux
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlynoyes
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.nono infoExporting into and restoring from XML files possibleno
Secondary indexesyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnonoSQL-like query language (SphinxQL)yes
APIs and other access methodsin-process shared library
Pipes
Proprietary protocolADO.NET
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
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnononoJava Stored Procedures
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layernoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layernonenoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layernoneImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoby using the rrdcached daemonyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesno
User concepts infoAccess controlyes infodepending on the DBMS used for storagenonofine grained access rights according to SQL-standard

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GeoMesaRRDtoolSphinxTrafodion
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