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DBMS > CouchDB vs. Databricks vs. LevelDB vs. PouchDB vs. UniData,UniVerse

System Properties Comparison CouchDB vs. Databricks vs. LevelDB vs. PouchDB vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatabricks  Xexclude from comparisonLevelDB  Xexclude from comparisonPouchDB  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionA 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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesJavaScript DBMS with an API inspired by CouchDBMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelDocument storeDocument store
Relational DBMS
Key-value storeDocument storeMultivalue DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.30
Rank#45  Overall
#7  Document stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score2.28
Rank#115  Overall
#21  Document stores
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitecouchdb.apache.orgwww.databricks.comgithub.com/­google/­leveldbpouchdb.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdocs.couchdb.org/­en/­stabledocs.databricks.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdpouchdb.com/­guidesdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDatabricksGoogleApache Software FoundationRocket Software
Initial release20052013201120121985
Current release3.3.3, December 20231.23, February 20217.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoBSDOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++JavaScriptC
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
hostedIllumos
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenononooptional
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.noyesnono
Secondary indexesyes infovia viewsyesnoyes infovia viewsyes
SQL infoSupport of SQLnowith Databricks SQLnonoyes
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Python
R
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
JavaScript.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresView functions in JavaScriptuser defined functions and aggregatesnoView functions in JavaScriptyes
Triggersyesnoyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0noneSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDnonoACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users can be defined per databasenonoAccess rights according to SQL-standard and operating system based
More information provided by the system vendor
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksLevelDBPouchDBUniData,UniVerse
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksLevelDBPouchDBUniData,UniVerse
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