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DBMS > Apache Kylin vs. Firebolt vs. Percona Server for MongoDB vs. RRDtool vs. TerarkDB

System Properties Comparison Apache Kylin vs. Firebolt vs. Percona Server for MongoDB vs. RRDtool vs. TerarkDB

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonFirebolt  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonRRDtool  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseA 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score1.90
Rank#134  Overall
#62  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
Websitekylin.apache.orgwww.firebolt.iowww.percona.com/­mongodb/­software/­percona-server-for-mongodboss.oetiker.ch/­rrdtoolgithub.com/­bytedance/­terarkdb
Technical documentationkylin.apache.org/­docsdocs.firebolt.iodocs.percona.com/­percona-distribution-for-mongodboss.oetiker.ch/­rrdtool/­docbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software Foundation, originally contributed from eBay IncFirebolt Analytics Inc.PerconaTobias OetikerByteDance, originally Terark
Initial release20152020201519992016
Current release3.1.0, July 20203.4.10-2.10, November 20171.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL Version 2Open Source infoGPL V2 and FLOSScommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C infoImplementations in Java (e.g. RRD4J) and C# availableC++
Server operating systemsLinuxhostedLinuxHP-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.nonono infoExporting into and restoring from XML files possibleno
Secondary indexesyesyesyesnono
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yesnonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.Net
ODBC
RESTful HTTP API
proprietary protocol using JSONin-process shared library
Pipes
C++ API
Java API
Supported programming languagesGo
JavaScript (Node.js)
Python
Actionscript
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 proceduresnoJavaScriptnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
none
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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.noyes infovia In-Memory Engineyesyes
User concepts infoAccess controlAccess rights for users and rolesnono

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More resources
Apache KylinFireboltPercona Server for MongoDBRRDtoolTerarkDB
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