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DBMS > 4D vs. CouchDB vs. Databricks vs. EDB Postgres vs. LeanXcale

System Properties Comparison 4D vs. CouchDB vs. Databricks vs. EDB Postgres vs. LeanXcale

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 comparisonEDB Postgres  Xexclude from comparisonLeanXcale  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.The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelRelational DBMSDocument storeDocument store
Relational DBMS
Relational DBMSKey-value store
Relational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument store
Spatial DBMS
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
Score1.90
Rank#135  Overall
#63  Relational DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Websitewww.4d.comcouchdb.apache.orgwww.databricks.comwww.enterprisedb.comwww.leanxcale.com
Technical documentationdeveloper.4d.comdocs.couchdb.org/­en/­stabledocs.databricks.comwww.enterprisedb.com/­docs
Developer4D, IncApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDatabricksEnterpriseDBLeanXcale
Initial release19842005201320052015
Current releasev20, April 20233.3.3, December 202314, December 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialcommercial infoBSD for PostgreSQL-componentscommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC
Server operating systemsOS X
Windows
Android
BSD
Linux
OS X
Solaris
Windows
hostedLinux
Windows
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesnoyes
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.yesnoyesyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyes infovia viewsyesyes
SQL infoSupport of SQLyes infoclose to SQL 92nowith Databricks SQLyes infostandard with numerous extensionsyes infothrough Apache Derby
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C
Java
Scala
Server-side scripts infoStored proceduresyesView functions in JavaScriptuser defined functions and aggregatesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoimproved architecture with release 2.0horizontal partitioning infoby hash, list or range
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
yesMulti-source replication
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 integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes, multi-version concurrency control (MVCC)yes
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.nonononoyes
User concepts infoAccess controlUsers and groupsAccess rights for users can be defined per databasefine grained access rights according to SQL-standard
More information provided by the system vendor
4D infoformer name: 4th DimensionCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksEDB PostgresLeanXcale
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"DatabricksEDB PostgresLeanXcale
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