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DBMS > 4D vs. Apache Phoenix vs. Ingres vs. Spark SQL vs. Transbase

System Properties Comparison 4D vs. Apache Phoenix vs. Ingres vs. Spark SQL vs. Transbase

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Phoenix  Xexclude from comparisonIngres  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemA scale-out RDBMS with evolutionary schema built on Apache HBaseWell established RDBMSSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitewww.4d.comphoenix.apache.orgwww.actian.com/­databases/­ingresspark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.html
Technical documentationdeveloper.4d.comphoenix.apache.orgdocs.actian.com/­ingresspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.html
Developer4D, IncApache Software FoundationActian CorporationApache Software FoundationTransaction Software GmbH
Initial release198420141974 infooriginally developed at University Berkely in early 1970s20141987
Current releasev20, April 20235.0-HBase2, July 2018 and 4.15-HBase1, December 201911.2, May 20223.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCScalaC and C++
Server operating systemsOS X
Windows
Linux
Unix
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyes infolate-bound, schema-on-read capabilitiesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnono infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyes infoclose to SQL 92yesyesSQL-like DML and DDL statementsyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages4D proprietary IDE
PHP
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesuser defined functionsyesnoyes
Triggersyesnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
Ingres ReplicatornoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
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.noyesnonono
User concepts infoAccess controlUsers and groupsAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
4D infoformer name: 4th DimensionApache PhoenixIngresSpark SQLTransbase
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