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DBMS > 4D vs. EXASOL vs. ITTIA vs. Spark SQL vs. SwayDB

System Properties Comparison 4D vs. EXASOL vs. ITTIA vs. Spark SQL vs. SwayDB

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonEXASOL  Xexclude from comparisonITTIA  Xexclude from comparisonSpark SQL  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Edge Time Series DBMS with Real-Time Stream ProcessingSpark SQL is a component on top of 'Spark Core' for structured data processingAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.39
Rank#273  Overall
#24  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitewww.4d.comwww.exasol.comwww.ittia.comspark.apache.org/­sqlswaydb.simer.au
Technical documentationdeveloper.4d.comwww.exasol.com/­resourcesspark.apache.org/­docs/­latest/­sql-programming-guide.html
Developer4D, IncExasolITTIA L.L.C.Apache Software FoundationSimer Plaha
Initial release19842000200720142018
Current releasev20, April 20238.73.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++ScalaScala
Server operating systemsOS X
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesyesFixed schemayesschema-free
Typing infopredefined data types such as float or dateyesyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyesno
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.yesnononono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLyes infoclose to SQL 92yesyesSQL-like DML and DDL statementsno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
RESTful HTTP API
WebSocket
JDBC
ODBC
Supported programming languages4D proprietary IDE
PHP
Java
Lua
Python
R
C
C++
JavaScript (Node.js)
Python
Java
Python
R
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyesuser defined functionsyesnono
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesnoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.noyesyesnoyes
User concepts infoAccess controlUsers and groupsAccess rights for users, groups and roles according to SQL-standardDatabase file passwordsnono

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More resources
4D infoformer name: 4th DimensionEXASOLITTIASpark SQLSwayDB
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