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DBMS > Apache Druid vs. Dragonfly vs. FatDB vs. KairosDB

System Properties Comparison Apache Druid vs. Dragonfly vs. FatDB vs. KairosDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDragonfly  Xexclude from comparisonFatDB  Xexclude from comparisonKairosDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceA .NET NoSQL DBMS that can integrate with and extend SQL Server.Distributed Time Series DBMS based on Cassandra or H2
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeDocument store
Key-value store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Websitedruid.apache.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
github.com/­kairosdb/­kairosdb
Technical documentationdruid.apache.org/­docs/­latest/­designwww.dragonflydb.io/­docskairosdb.github.io
DeveloperApache Software Foundation and contributorsDragonflyDB team and community contributorsFatCloud
Initial release2012202320122013
Current release29.0.1, April 20241.0, March 20231.2.2, November 2018
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoBSL 1.1commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C#Java
Server operating systemsLinux
OS X
Unix
LinuxWindowsLinux
OS X
Windows
Data schemeyes infoschema-less columns are supportedscheme-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyesyes
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
Secondary indexesyesnoyesno
SQL infoSupport of SQLSQL for queryingnono infoVia inetgration in SQL Serverno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Proprietary protocol infoRESP - REdis Serialization Protocol.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Graphite protocol
HTTP REST
Telnet API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C#Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnoLuayes infovia applicationsno
Triggersnopublish/subscribe channels provide some trigger functionalityyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationselectable replication factorselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of command blocks and scriptsnono
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyes
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.noyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemPassword-based authenticationno infoCan implement custom security layer via applicationssimple password-based access control

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More resources
Apache DruidDragonflyFatDBKairosDB
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