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DBMS > 4D vs. Databricks vs. FileMaker vs. Spark SQL

System Properties Comparison 4D vs. Databricks vs. FileMaker vs. Spark SQL

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonDatabricks  Xexclude from comparisonFileMaker  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.4d.comwww.databricks.comwww.claris.com/­filemakerspark.apache.org/­sql
Technical documentationdeveloper.4d.comdocs.databricks.comwww.claris.com/­resources/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
Developer4D, IncDatabricksClaris infoa subsidiary of AppleApache Software Foundation
Initial release1984201319832014
Current releasev20, April 202319.4.1, November 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScala
Server operating systemsOS X
Windows
hostediOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesyesyes infoA http query request can return the data in XML formatno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infoclose to SQL 92with Databricks SQLyes infovia pluginsSQL-like DML and DDL statements
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
Supported programming languages4D proprietary IDE
PHP
Python
R
Scala
PHPJava
Python
R
Scala
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesyesno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesSource-replica replication, warm standby infosince Version 14none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonono
User concepts infoAccess controlUsers and groupssimple rights management via user accounts and connection to external directory servicesno
More information provided by the system vendor
4D infoformer name: 4th DimensionDatabricksFileMakerSpark SQL
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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4D infoformer name: 4th DimensionDatabricksFileMakerSpark SQL
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