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DBMS > BigObject vs. KairosDB vs. Kinetica vs. RRDtool vs. SQL.JS

System Properties Comparison BigObject vs. KairosDB vs. Kinetica vs. RRDtool vs. SQL.JS

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonKairosDB  Xexclude from comparisonKinetica  Xexclude from comparisonRRDtool  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesDistributed 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.Port of SQLite to JavaScript
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedTime Series DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  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
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websitebigobject.iogithub.com/­kairosdb/­kairosdbwww.kinetica.comoss.oetiker.ch/­rrdtoolsql.js.org
Technical documentationdocs.bigobject.iokairosdb.github.iodocs.kinetica.comoss.oetiker.ch/­rrdtool/­docsql.js.org/­documentation/­index.html
DeveloperBigObject, Inc.KineticaTobias OetikerAlon Zakai infoenhancements implemented by others
Initial release20152013201219992012
Current release1.2.2, November 20187.1, August 20211.8.0, 2022
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache 2.0commercialOpen Source infoGPL V2 and FLOSSOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C infoImplementations in Java (e.g. RRD4J) and C# availableJavaScript
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Windows
LinuxHP-UX
Linux
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric 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.nononono infoExporting into and restoring from XML files possibleno
Secondary indexesyesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like DML and DDL statementsnoyes infoSQL-92 is not fully supported
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Graphite protocol
HTTP REST
Telnet API
JDBC
ODBC
RESTful HTTP API
in-process shared library
Pipes
JavaScript API
Supported programming languagesJava
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
JavaScript
Server-side scripts infoStored proceduresLuanouser defined functionsnono
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable 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 systemnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configurationnonenone
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyesyesyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlnosimple password-based access controlAccess rights for users and roles on table levelnono

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More resources
BigObjectKairosDBKineticaRRDtoolSQL.JS
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