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DBMS > 4D vs. chDB vs. Databricks vs. TigerGraph

System Properties Comparison 4D vs. chDB vs. Databricks vs. TigerGraph

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonchDB  Xexclude from comparisonDatabricks  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemAn embedded SQL OLAP Engine powered by ClickHouseThe 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.A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSRelational DBMSDocument store
Relational DBMS
Graph DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.07
Rank#376  Overall
#158  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitewww.4d.comgithub.com/­chdb-io/­chdbwww.databricks.comwww.tigergraph.com
Technical documentationdeveloper.4d.comdoc.chdb.iodocs.databricks.comdocs.tigergraph.com
Developer4D, IncDatabricks
Initial release1984202320132017
Current releasev20, April 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsOS X
Windows
server-lesshostedLinux
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 92Close to ANSI SQL (SQL/JSON + extensions)with Databricks SQLSQL-like query language (GSQL)
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
RESTful HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages4D proprietary IDE
PHP
Bun
C
C++
Go
JavaScript (Node.js)
Python
Rust
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesyes
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphs
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
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 groupsRole-based access control
More information provided by the system vendor
4D infoformer name: 4th DimensionchDBDatabricksTigerGraph
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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4D infoformer name: 4th DimensionchDBDatabricksTigerGraph
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