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DBMS > 4D vs. CouchDB vs. Databricks vs. NCache

System Properties Comparison 4D vs. CouchDB vs. Databricks vs. NCache

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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 comparisonNCache  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.Open-Source and Enterprise in-memory Key-Value Store
Primary database modelRelational DBMSDocument storeDocument store
Relational DBMS
Key-value store
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score8.30
Rank#47  Overall
#7  Document stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.96
Rank#195  Overall
#29  Key-value stores
Websitewww.4d.comcouchdb.apache.orgwww.databricks.comwww.alachisoft.com/­ncache
Technical documentationdeveloper.4d.comdocs.couchdb.org/­en/­stabledocs.databricks.comwww.alachisoft.com/­resources/­docs
Developer4D, IncApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDatabricksAlachisoft
Initial release1984200520132005
Current releasev20, April 20233.3.3, December 20235.3.3, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialOpen Source infoEnterprise Edition available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC#, .NET, .NET Core, Java
Server operating systemsOS X
Windows
Android
BSD
Linux
OS X
Solaris
Windows
hostedLinux
Windows
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesnopartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counter
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 viewsyesyes
SQL infoSupport of SQLyes infoclose to SQL 92nowith Databricks SQLSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
IDistributedCache
JCache
LINQ
Proprietary native API
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
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyesView functions in JavaScriptuser defined functions and aggregatesno infosupport for stored procedures with SQL-Server CLR
Triggersyesyesyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoimproved architecture with release 2.0yes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
yesyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleACIDoptimistic locking and pessimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes
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.nononoyes
User concepts infoAccess controlUsers and groupsAccess rights for users can be defined per databaseAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
4D infoformer name: 4th DimensionCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksNCache
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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NCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
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Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
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Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
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Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
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Market metricsMarket Leader in .NET Distributed Caching since 2005.
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Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
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More resources
4D infoformer name: 4th DimensionCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksNCache
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