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DBMS > GeoSpock vs. H2 vs. Percona Server for MongoDB vs. RRDtool vs. TerarkDB

System Properties Comparison GeoSpock vs. H2 vs. Percona Server for MongoDB vs. RRDtool vs. TerarkDB

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonH2  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonRRDtool  Xexclude from comparisonTerarkDB  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 scaleFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.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 key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSDocument storeTime Series DBMSKey-value store
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitegeospock.comwww.h2database.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodboss.oetiker.ch/­rrdtoolgithub.com/­bytedance/­terarkdb
Technical documentationwww.h2database.com/­html/­main.htmldocs.percona.com/­percona-distribution-for-mongodboss.oetiker.ch/­rrdtool/­docbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperGeoSpockThomas MuellerPerconaTobias OetikerByteDance, originally Terark
Initial release2005201519992016
Current release2.0, September 20192.2.220, July 20233.4.10-2.10, November 20171.8.0, 2022
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoGPL Version 2Open Source infoGPL V2 and FLOSScommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaC++C infoImplementations in Java (e.g. RRD4J) and C# availableC++
Server operating systemshostedAll OS with a Java VMLinuxHP-UX
Linux
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyno
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.nononono infoExporting into and restoring from XML files possibleno
Secondary indexestemporal, categoricalyesyesnono
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesnonono
APIs and other access methodsJDBCJDBC
ODBC
proprietary protocol using JSONin-process shared library
Pipes
C++ API
Java API
Supported programming languagesJavaActionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
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++
Java
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined FunctionsJavaScriptnono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
none
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infovia In-Memory Engineyesyes
User concepts infoAccess controlAccess rights for users can be defined per tablefine grained access rights according to SQL-standardAccess rights for users and rolesnono

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More resources
GeoSpockH2Percona Server for MongoDBRRDtoolTerarkDB
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