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DBMS > 4D vs. Faircom EDGE vs. Firebird vs. Spark SQL

System Properties Comparison 4D vs. Faircom EDGE vs. Firebird vs. Spark SQL

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFirebird  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsFirebird is an open source RDBMS forked from Borland's InterBaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#110  Overall
#54  Relational DBMS
Score0.03
Rank#380  Overall
#59  Key-value stores
#157  Relational DBMS
Score21.06
Rank#31  Overall
#19  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websitewww.4d.comwww.faircom.com/­products/­faircom-edgewww.firebirdsql.orgspark.apache.org/­sql
Technical documentationdeveloper.4d.comdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.firebirdsql.org/­en/­reference-manualsspark.apache.org/­docs/­latest/­sql-programming-guide.html
Developer4D, IncFairCom CorporationFirebird FoundationApache Software Foundation
Initial release198419792000 infoAs fork of Borland's InterBase2014
Current releasev20, April 2023V3, October 20205.0.0, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availableOpen Source infoInitial Developer's Public LicenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++C and C++Scala
Server operating systemsOS X
Windows
Android
Linux infoARM, x86
Raspbian
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
OS X
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyesyes
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.yesyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infoclose to SQL 92yes infoANSI SQL queriesyesSQL-like DML and DDL statements
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JDBC
ODBC
Supported programming languages4D proprietary IDE
PHP
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesyes info.Net, JavaScript, C/C++PSQLno
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning infoCustomizable business rules for partitioningnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesyes infowhen using SQLyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyes
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.noyesno
User concepts infoAccess controlUsers and groupsFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Users with fine-grained authorization conceptno

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More resources
4D infoformer name: 4th DimensionFaircom EDGE infoformerly c-treeEDGEFirebirdSpark SQL
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