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DBMS > 4D vs. Databricks vs. TerminusDB

System Properties Comparison 4D vs. Databricks vs. TerminusDB

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonDatabricks  Xexclude from comparisonTerminusDB infoformer name was DataChemist  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.Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSDocument store
Relational DBMS
Graph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#110  Overall
#54  Relational DBMS
Score76.33
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score0.22
Rank#323  Overall
#28  Graph DBMS
Websitewww.4d.comwww.databricks.comterminusdb.com
Technical documentationdeveloper.4d.comdocs.databricks.comterminusdb.github.io/­terminusdb/­#
Developer4D, IncDatabricksDataChemist Ltd.
Initial release198420132018
Current releasev20, April 202311.0.0, January 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageProlog, Rust
Server operating systemsOS X
Windows
hostedLinux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyes
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 indexesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92with Databricks SQLSQL-like query language (WOQL)
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
RESTful HTTP API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languages4D proprietary IDE
PHP
Python
R
Scala
JavaScript
Python
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesyes
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlUsers and groupsRole-based access control
More information provided by the system vendor
4D infoformer name: 4th DimensionDatabricksTerminusDB infoformer name was DataChemist
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
4D infoformer name: 4th DimensionDatabricksTerminusDB infoformer name was DataChemist
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