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DBMS > 4D vs. Brytlyt vs. Databricks vs. Linter vs. RethinkDB

System Properties Comparison 4D vs. Brytlyt vs. Databricks vs. Linter vs. RethinkDB

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonBrytlyt  Xexclude from comparisonDatabricks  Xexclude from comparisonLinter  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLThe 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.RDBMS for high security requirementsDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSRelational DBMSDocument store
Relational DBMS
Relational DBMSDocument store
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Websitewww.4d.combrytlyt.iowww.databricks.comlinter.rurethinkdb.com
Technical documentationdeveloper.4d.comdocs.brytlyt.iodocs.databricks.comrethinkdb.com/­docs
Developer4D, IncBrytlytDatabricksrelex.ruThe Linux Foundation infosince July 2017
Initial release19842016201319902009
Current releasev20, April 20235.0, August 20232.4.1, August 2020
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAC and C++C++
Server operating systemsOS X
Windows
Linux
OS X
Windows
hostedAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
OS X
Windows
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, binary, float, bool, date, geometry
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.yesyes infospecific XML-type available, but no XML query functionality.yesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92yeswith Databricks SQLyesno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languages4D proprietary IDE
PHP
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Python
R
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresyesuser defined functions infoin PL/pgSQLuser defined functions and aggregatesyes infoproprietary syntax with the possibility to convert from PL/SQL
TriggersyesyesyesClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationyesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMVCC based
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.nonono
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes infousers and table-level permissions
More information provided by the system vendor
4D infoformer name: 4th DimensionBrytlytDatabricksLinterRethinkDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
4D infoformer name: 4th DimensionBrytlytDatabricksLinterRethinkDB
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