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DBMS > Amazon Aurora vs. KairosDB vs. Kinetica vs. RRDtool vs. Yanza

System Properties Comparison Amazon Aurora vs. KairosDB vs. Kinetica vs. RRDtool vs. Yanza

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonKairosDB  Xexclude from comparisonKinetica  Xexclude from comparisonRRDtool  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonDistributed Time Series DBMS based on Cassandra or H2Fully vectorized database across both GPUs and CPUsIndustry 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.Time Series DBMS for IoT Applications
Primary database modelRelational DBMSTime Series DBMSRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websiteaws.amazon.com/­rds/­auroragithub.com/­kairosdb/­kairosdbwww.kinetica.comoss.oetiker.ch/­rrdtoolyanza.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlkairosdb.github.iodocs.kinetica.comoss.oetiker.ch/­rrdtool/­doc
DeveloperAmazonKineticaTobias OetikerYanza
Initial release20152013201219992015
Current release1.2.2, November 20187.1, August 20211.8.0, 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoGPL V2 and FLOSScommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemshostedLinux
OS X
Windows
LinuxHP-UX
Linux
Windows
Data schemeyesschema-freeyesyesschema-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.yesnonono infoExporting into and restoring from XML files possibleno
Secondary indexesyesnoyesnono
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsnono
APIs and other access methodsADO.NET
JDBC
ODBC
Graphite protocol
HTTP REST
Telnet API
JDBC
ODBC
RESTful HTTP API
in-process shared library
Pipes
HTTP API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
JavaScript infoNode.js
PHP
Python
C++
Java
JavaScript (Node.js)
Python
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
any language that supports HTTP calls
Server-side scripts infoStored proceduresyesnouser defined functionsnono
Triggersyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infobased on CassandraShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on CassandraSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configurationnoneImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes 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.yesnoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple password-based access controlAccess rights for users and roles on table levelnono

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More resources
Amazon AuroraKairosDBKineticaRRDtoolYanza
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