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DBMS > Dragonfly vs. Fauna vs. MonetDB vs. Spark SQL vs. STSdb

System Properties Comparison Dragonfly vs. Fauna vs. MonetDB vs. Spark SQL vs. STSdb

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonMonetDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.A relational database management system that stores data in columnsSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value storeDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
fauna.comwww.monetdb.orgspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationwww.dragonflydb.io/­docsdocs.fauna.comwww.monetdb.org/­Documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDragonflyDB team and community contributorsFauna, Inc.MonetDB BVApache Software FoundationSTS Soft SC
Initial release20232014200420142011
Current release1.0, March 2023Dec2023 (11.49), December 20233.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercialOpen Source infoMozilla Public License 2.0Open Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ScalaCScalaC#
Server operating systemsLinuxhostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Windows
Data schemescheme-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysnoyesyesyes infoprimitive types and user defined types (classes)
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 indexesnoyesyesnono
SQL infoSupport of SQLnonoyes infoSQL 2003 with some extensionsSQL-like DML and DDL statementsno
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolRESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
.NET Client API
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
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresLuauser defined functionsyes, in SQL, C, Rnono
Triggerspublish/subscribe channels provide some trigger functionalitynoyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingSharding via remote tablesyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationnone infoSource-replica replication available in experimental statusnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlPassword-based authenticationIdentity management, authentication, and access controlfine grained access rights according to SQL-standardnono

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More resources
DragonflyFauna infopreviously named FaunaDBMonetDBSpark SQLSTSdb
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