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

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

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonFileMaker  Xexclude from comparisonNewts  Xexclude from comparisonPlanetScale  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionEmbeddable 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 CassandraScalable, distributed, serverless MySQL database platform built on top of VitessSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument storeRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbwww.claris.com/­filemakeropennms.github.io/­newtsplanetscale.comspark.apache.org/­sql
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.claris.com/­resources/­documentationgithub.com/­OpenNMS/­newts/­wikiplanetscale.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSoftmotionsClaris infoa subsidiary of AppleOpenNMS GroupPlanetScaleApache Software Foundation
Initial release20121983201420202014
Current release19.4.1, November 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaGoScala
Server operating systemsserver-lessiOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Windows
Docker
Linux
macOS
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesyesyes
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 infoA http query request can return the data in XML formatnono
Secondary indexesnoyesnoyesno
SQL infoSupport of SQLnoyes infovia pluginsnoyes infowith proprietary extensionsSQL-like DML and DDL statements
APIs and other access methodsin-process shared libraryFilemaker WebDirect
JDBC
ODBC
HTTP REST
Java API
ADO.NET
JDBC
MySQL protocol
ODBC
JDBC
ODBC
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
PHPJavaAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyesnoyes infoproprietary syntaxno
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infobased on CassandraShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication, warm standby infosince Version 14selectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesnoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID at shard levelno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyes infotable locks or row locks depending on storage engineyes
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.noyesno
User concepts infoAccess controlnosimple rights management via user accounts and connection to external directory servicesnoUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
EJDBFileMakerNewtsPlanetScaleSpark SQL
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