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DBMS > 4D vs. Spark SQL vs. STSdb vs. TDSQL for MySQL

System Properties Comparison 4D vs. Spark SQL vs. STSdb vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitewww.4d.comspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4www.tencentcloud.com/­products/­dcdb
Technical documentationdeveloper.4d.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.tencentcloud.com/­document/­product/­1042
Developer4D, IncApache Software FoundationSTS Soft SCTencent
Initial release1984201420112013
Current releasev20, April 20233.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPLv2, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC#
Server operating systemsOS X
Windows
Linux
OS X
Windows
Windowshosted
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)yes
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
Secondary indexesyesnonoyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like DML and DDL statementsnoyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
.NET Client APIJDBC
ODBC
Supported programming languages4D proprietary IDE
PHP
Java
Python
R
Scala
C#
Java
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnonoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark CorenoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
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 groupsnonoUsers with fine-grained authorization concept

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More resources
4D infoformer name: 4th DimensionSpark SQLSTSdbTDSQL for MySQL
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