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

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

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonDatabricks  Xexclude from comparisonTigerGraph  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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.A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSDocument store
Relational DBMS
Graph DBMSDocument 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
Score1.83
Rank#141  Overall
#13  Graph DBMS
Websitewww.4d.comwww.databricks.comwww.tigergraph.comgithub.com/­torodb/­server
Technical documentationdeveloper.4d.comdocs.databricks.comdocs.tigergraph.com
Developer4D, IncDatabricks8Kdata
Initial release1984201320172016
Current releasev20, April 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsOS X
Windows
hostedLinuxAll OS with a Java 7 VM
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, boolean, date, object_id
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.yesyesnono
Secondary indexesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92with 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
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesyes
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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 groupsRole-based access controlAccess rights for users and roles
More information provided by the system vendor
4D infoformer name: 4th DimensionDatabricksTigerGraphToroDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
4D infoformer name: 4th DimensionDatabricksTigerGraphToroDB
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