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DBMS > EJDB vs. FileMaker vs. Firebase Realtime Database vs. Newts vs. Spark SQL

System Properties Comparison EJDB vs. FileMaker vs. Firebase Realtime Database vs. Newts vs. Spark SQL

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonFileMaker  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonNewts  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.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Time Series DBMS based on CassandraSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument storeRelational DBMSDocument storeTime Series DBMSRelational 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
Score13.64
Rank#39  Overall
#6  Document stores
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbwww.claris.com/­filemakerfirebase.google.com/­products/­realtime-databaseopennms.github.io/­newtsspark.apache.org/­sql
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.claris.com/­resources/­documentationfirebase.google.com/­docs/­databasegithub.com/­OpenNMS/­newts/­wikispark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSoftmotionsClaris infoa subsidiary of AppleGoogle infoacquired by Google 2014OpenNMS GroupApache Software Foundation
Initial release20121983201220142014
Current release19.4.1, November 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoGPLv2commercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaScala
Server operating systemsserver-lessiOS infoclient part only
Linux
OS X
Windows
hostedLinux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
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 formatnonono
Secondary indexesnoyesyesnono
SQL infoSupport of SQLnoyes infovia pluginsnonoSQL-like DML and DDL statements
APIs and other access methodsin-process shared libraryFilemaker WebDirect
JDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
HTTP REST
Java API
JDBC
ODBC
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
PHPJava
JavaScript
Objective-C
JavaJava
Python
R
Scala
Server-side scripts infoStored proceduresnoyeslimited functionality with using 'rules'nono
TriggersnoyesCallbacks are triggered when data changesnono
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 nodesnoneSource-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 Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyesnono
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
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.nono
User concepts infoAccess controlnosimple rights management via user accounts and connection to external directory servicesyes, based on authentication and database rulesnono

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More resources
EJDBFileMakerFirebase Realtime DatabaseNewtsSpark SQL
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