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DBMS > 4D vs. CouchDB vs. Databricks vs. LeanXcale vs. SwayDB

System Properties Comparison 4D vs. CouchDB vs. Databricks vs. LeanXcale vs. SwayDB

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatabricks  Xexclude from comparisonLeanXcale  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.The 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 highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSDocument storeDocument store
Relational DBMS
Key-value store
Relational DBMS
Key-value store
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score9.30
Rank#45  Overall
#7  Document stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitewww.4d.comcouchdb.apache.orgwww.databricks.comwww.leanxcale.comswaydb.simer.au
Technical documentationdeveloper.4d.comdocs.couchdb.org/­en/­stabledocs.databricks.com
Developer4D, IncApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDatabricksLeanXcaleSimer Plaha
Initial release19842005201320152018
Current releasev20, April 20233.3.3, December 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialcommercialOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangScala
Server operating systemsOS X
Windows
Android
BSD
Linux
OS X
Solaris
Windows
hosted
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesnono
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.yesnoyesno
Secondary indexesyesyes infovia viewsyesno
SQL infoSupport of SQLyes infoclose to SQL 92nowith Databricks SQLyes infothrough Apache Derbyno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languages4D proprietary IDE
PHP
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Python
R
Scala
C
Java
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyesView functions in JavaScriptuser defined functions and aggregatesno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoimproved architecture with release 2.0none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleACIDACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyesyes
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.nononoyesyes
User concepts infoAccess controlUsers and groupsAccess rights for users can be defined per databaseno
More information provided by the system vendor
4D infoformer name: 4th DimensionCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksLeanXcaleSwayDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
4D infoformer name: 4th DimensionCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksLeanXcaleSwayDB
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