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DBMS > Dragonfly vs. FoundationDB vs. KairosDB vs. Splice Machine

System Properties Comparison Dragonfly vs. FoundationDB vs. KairosDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonFoundationDB  Xexclude from comparisonKairosDB  Xexclude from comparisonSplice Machine  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionA 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.Distributed Time Series DBMS based on Cassandra or H2Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
github.com/­apple/­foundationdbgithub.com/­kairosdb/­kairosdbsplicemachine.com
Technical documentationwww.dragonflydb.io/­docsapple.github.io/­foundationdbkairosdb.github.iosplicemachine.com/­how-it-works
DeveloperDragonflyDB team and community contributorsFoundationDBSplice Machine
Initial release2023201320132014
Current release1.0, March 20236.2.28, November 20201.2.2, November 20183.1, March 2021
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoApache 2.0Open Source infoApache 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++JavaJava
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemescheme-freeschema-free infosome layers support schemasschema-freeyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysno infosome layers support typingyesyes
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.nono
Secondary indexesnononoyes
SQL infoSupport of SQLnosupported in specific SQL layer onlynoyes
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolGraphite protocol
HTTP REST
Telnet API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
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
Java
JavaScript infoNode.js
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresLuain SQL-layer onlynoyes infoJava
Triggerspublish/subscribe channels provide some trigger functionalitynonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyLinearizable consistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes, multi-version concurrency control (MVCC)
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.yesnoyes
User concepts infoAccess controlPassword-based authenticationnosimple password-based access controlAccess rights for users, groups and roles according to SQL-standard

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More resources
DragonflyFoundationDBKairosDBSplice Machine
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