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DBMS > GeoSpock vs. LevelDB vs. Prometheus vs. RRDtool

System Properties Comparison GeoSpock vs. LevelDB vs. Prometheus vs. RRDtool

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonLevelDB  Xexclude from comparisonPrometheus  Xexclude from comparisonRRDtool  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesOpen-source Time Series DBMS and monitoring systemIndustry 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.
Primary database modelRelational DBMSKey-value storeTime Series DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#115  Overall
#19  Key-value stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websitegeospock.comgithub.com/­google/­leveldbprometheus.iooss.oetiker.ch/­rrdtool
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdprometheus.io/­docsoss.oetiker.ch/­rrdtool/­doc
DeveloperGeoSpockGoogleTobias Oetiker
Initial release201120151999
Current release2.0, September 20191.23, February 20211.8.0, 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoApache 2.0Open Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC++GoC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemshostedIllumos
Linux
OS X
Windows
Linux
Windows
HP-UX
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoNumeric data onlyNumeric data only
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.nonono infoImport of XML data possibleno infoExporting into and restoring from XML files possible
Secondary indexestemporal, categoricalnonono
SQL infoSupport of SQLANSI SQL for query only (using Presto)nonono
APIs and other access methodsJDBCRESTful HTTP/JSON APIin-process shared library
Pipes
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
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 proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynonenone
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users can be defined per tablenonono

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More resources
GeoSpockLevelDBPrometheusRRDtool
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