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DBMS > AntDB vs. GeoSpock vs. RRDtool vs. Transwarp ArgoDB

System Properties Comparison AntDB vs. GeoSpock vs. RRDtool vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
NameAntDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonRRDtool  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with OracleSpatial and temporal data processing engine for extreme data scaleIndustry 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.Distributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#317  Overall
#141  Relational DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score0.12
Rank#348  Overall
#151  Relational DBMS
Websitewww.asiainfo.com/­en_us/­product_aisware_antdb_detail.htmlgeospock.comoss.oetiker.ch/­rrdtoolwww.transwarp.cn/­en/­product/­argodb
Technical documentationoss.oetiker.ch/­rrdtool/­docdocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperAsiaInfo Technologies LimitedGeoSpockTobias OetikerTranswarp
Initial release1999
Current release2.0, September 20191.8.0, 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V2 and FLOSScommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemshostedHP-UX
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric 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.nono infoExporting into and restoring from XML files possible
Secondary indexesyestemporal, categoricalnoyes
SQL infoSupport of SQLSQL2016 compliantANSI SQL for query only (using Presto)noyes
APIs and other access methodsJDBC
MySQL protocol compliant
ODBC
JDBCin-process shared library
Pipes
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
Server-side scripts infoStored proceduresnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
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.yesnoyes
User concepts infoAccess controlAccess rights for users can be defined per tableno

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More resources
AntDBGeoSpockRRDtoolTranswarp ArgoDB
DB-Engines blog posts

AntDB: Answer to Database Evolution - Hyperconverged All-in-One Streaming Engine
22 June 2023,  Bei Mo, AntDB (sponsor) 

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Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

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