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DBMS > Citus vs. Dragonfly vs. FoundationDB vs. Heroic

System Properties Comparison Citus vs. Dragonfly vs. FoundationDB vs. Heroic

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonDragonfly  Xexclude from comparisonFoundationDB  Xexclude from comparisonHeroic  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceOrdered key-value store. Core features are complimented by layers.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelRelational DBMSKey-value storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Websitewww.citusdata.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
github.com/­apple/­foundationdbgithub.com/­spotify/­heroic
Technical documentationdocs.citusdata.comwww.dragonflydb.io/­docsapple.github.io/­foundationdbspotify.github.io/­heroic
DeveloperDragonflyDB team and community contributorsFoundationDBSpotify
Initial release2010202320132014
Current release8.1, December 20181.0, March 20236.2.28, November 2020
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoBSL 1.1Open Source infoApache 2.0Open 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 languageCC++C++Java
Server operating systemsLinuxLinuxLinux
OS X
Windows
Data schemeyesscheme-freeschema-free infosome layers support schemasschema-free
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysno infosome layers support typingyes
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.yes infospecific XML type available, but no XML query functionalitynono
Secondary indexesyesnonoyes infovia Elasticsearch
SQL infoSupport of SQLyes infostandard, with numerous extensionsnosupported in specific SQL layer onlyno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol infoRESP - REdis Serialization ProtocolHQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
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
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Luain SQL-layer onlyno
Triggersyespublish/subscribe channels provide some trigger functionalitynono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyLinearizable consistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsACIDno
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 controlfine grained access rights according to SQL-standardPassword-based authenticationno

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More resources
CitusDragonflyFoundationDBHeroic
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