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DBMS > Dragonfly vs. EJDB vs. FileMaker vs. Newts vs. Spark SQL

System Properties Comparison Dragonfly vs. EJDB vs. FileMaker vs. Newts vs. Spark SQL

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonEJDB  Xexclude from comparisonFileMaker  Xexclude from comparisonNewts  Xexclude from comparisonSpark SQL  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 instanceEmbeddable document-store database library with JSON representation of queries (in MongoDB style)FileMaker is a cross-platform RDBMS that includes a GUI frontend.Time Series DBMS based on CassandraSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeDocument storeRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.31
Rank#296  Overall
#44  Document stores
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
github.com/­Softmotions/­ejdbwww.claris.com/­filemakeropennms.github.io/­newtsspark.apache.org/­sql
Technical documentationwww.dragonflydb.io/­docsgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.claris.com/­resources/­documentationgithub.com/­OpenNMS/­newts/­wikispark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDragonflyDB team and community contributorsSoftmotionsClaris infoa subsidiary of AppleOpenNMS GroupApache Software Foundation
Initial release20232012198320142014
Current release1.0, March 202319.4.1, November 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoGPLv2commercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJavaScala
Server operating systemsLinuxserver-lessiOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemescheme-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyes infostring, integer, double, bool, date, object_idyesyesyes
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.noyes infoA http query request can return the data in XML formatnono
Secondary indexesnonoyesnono
SQL infoSupport of SQLnonoyes infovia pluginsnoSQL-like DML and DDL statements
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization Protocolin-process shared libraryFilemaker WebDirect
JDBC
ODBC
HTTP REST
Java API
JDBC
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
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
PHPJavaJava
Python
R
Scala
Server-side scripts infoStored proceduresLuanoyesnono
Triggerspublish/subscribe channels provide some trigger functionalitynoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infobased on Cassandrayes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replication, warm standby infosince Version 14selectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsnononono
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryes infoRead/Write Lockingyesyesyes
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 authenticationnosimple rights management via user accounts and connection to external directory servicesnono

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More resources
DragonflyEJDBFileMakerNewtsSpark SQL
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