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DBMS > 4D vs. Databricks vs. STSdb vs. Transbase

System Properties Comparison 4D vs. Databricks vs. STSdb vs. Transbase

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonDatabricks  Xexclude from comparisonSTSdb  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSDocument store
Relational DBMS
Key-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitewww.4d.comwww.databricks.comgithub.com/­STSSoft/­STSdb4www.transaction.de/­en/­products/­transbase.html
Technical documentationdeveloper.4d.comdocs.databricks.comwww.transaction.de/­en/­products/­transbase/­features.html
Developer4D, IncDatabricksSTS Soft SCTransaction Software GmbH
Initial release1984201320111987
Current releasev20, April 20234.0.8, September 2015Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPLv2, commercial license availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C and C++
Server operating systemsOS X
Windows
hostedWindowsFreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyes 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.yesyesno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infoclose to SQL 92with Databricks SQLnoyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
RESTful HTTP API
.NET Client APIADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages4D proprietary IDE
PHP
Python
R
Scala
C#
Java
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesnoyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoyes
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 groupsnofine grained access rights according to SQL-standard
More information provided by the system vendor
4D infoformer name: 4th DimensionDatabricksSTSdbTransbase
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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4D infoformer name: 4th DimensionDatabricksSTSdbTransbase
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