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DBMS > CouchDB vs. Databricks vs. Firebase Realtime Database vs. TimescaleDB

System Properties Comparison CouchDB vs. Databricks vs. Firebase Realtime Database vs. TimescaleDB

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatabricks  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonTimescaleDB  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.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument storeDocument store
Relational DBMS
Document storeTime Series DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.46
Rank#51  Overall
#7  Document stores
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score13.60
Rank#39  Overall
#6  Document stores
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Websitecouchdb.apache.orgwww.databricks.comfirebase.google.com/­products/­realtime-databasewww.timescale.com
Technical documentationdocs.couchdb.org/­en/­stabledocs.databricks.comfirebase.google.com/­docs/­databasedocs.timescale.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDatabricksGoogle infoacquired by Google 2014Timescale
Initial release2005201320122017
Current release3.3.3, December 20232.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
hostedhostedLinux
OS X
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or datenoyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.noyesnoyes
Secondary indexesyes infovia viewsyesyesyes
SQL infoSupport of SQLnowith Databricks SQLnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Python
R
Scala
Java
JavaScript
Objective-C
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresView functions in JavaScriptuser defined functions and aggregateslimited functionality with using 'rules'user defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
TriggersyesCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0yes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyes
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.nonono
User concepts infoAccess controlAccess rights for users can be defined per databaseyes, based on authentication and database rulesfine grained access rights according to SQL-standard
More information provided by the system vendor
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksFirebase Realtime DatabaseTimescaleDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksFirebase Realtime DatabaseTimescaleDB
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