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DBMS > 4D vs. atoti vs. Spark SQL vs. STSdb

System Properties Comparison 4D vs. atoti vs. Spark SQL vs. STSdb

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonatoti  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Spark 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 method
Primary database modelRelational DBMSObject oriented DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#110  Overall
#54  Relational DBMS
Score0.59
Rank#242  Overall
#10  Object oriented DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score0.06
Rank#365  Overall
#55  Key-value stores
Websitewww.4d.comatoti.iospark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationdeveloper.4d.comdocs.atoti.iospark.apache.org/­docs/­latest/­sql-programming-guide.html
Developer4D, IncActiveViamApache Software FoundationSTS Soft SC
Initial release198420142011
Current releasev20, April 20233.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open Sourcecommercialcommercial infofree versions availableOpen Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaC#
Server operating systemsOS X
Windows
Linux
OS X
Windows
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)
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.yesno
Secondary indexesyesnono
SQL infoSupport of SQLyes infoclose to SQL 92Multidimensional Expressions (MDX)SQL-like DML and DDL statementsno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
.NET Client API
Supported programming languages4D proprietary IDE
PHP
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresyesPythonnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes
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 groupsnono

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More resources
4D infoformer name: 4th DimensionatotiSpark SQLSTSdb
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