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DBMS > CouchDB vs. Google BigQuery vs. LMDB vs. Oracle

System Properties Comparison CouchDB vs. Google BigQuery vs. LMDB vs. Oracle

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonLMDB  Xexclude from comparisonOracle  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Large scale data warehouse service with append-only tablesA high performant, light-weight, embedded key-value database libraryWidely used RDBMS
Primary database modelDocument storeRelational DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.30
Rank#47  Overall
#7  Document stores
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score2.09
Rank#121  Overall
#20  Key-value stores
Score1244.08
Rank#1  Overall
#1  Relational DBMS
Websitecouchdb.apache.orgcloud.google.com/­bigquerywww.symas.com/­symas-embedded-database-lmdbwww.oracle.com/­database
Technical documentationdocs.couchdb.org/­en/­stablecloud.google.com/­bigquery/­docswww.lmdb.tech/­docdocs.oracle.com/­en/­database
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogleSymasOracle
Initial release2005201020111980
Current release3.3.3, December 20230.9.32, January 202423c, September 2023
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Sourcecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangCC and C++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
hostedLinux
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Data schemeschema-freeyesschema-freeyes infoSchemaless in JSON and XML columns
Typing infopredefined data types such as float or datenoyesyes
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.nononoyes
Secondary indexesyes infovia viewsnonoyes
SQL infoSupport of SQLnoyesnoyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP/JSON APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Server-side scripts infoStored proceduresView functions in JavaScriptuser defined functions infoin JavaScriptnoPL/SQL infoalso stored procedures in Java possible
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0nonenoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono infocan be realized in PL/SQL
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleno infoSince BigQuery is designed for querying dataACIDACID infoisolation level can be parameterized
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.nonoyesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)nofine grained access rights according to SQL-standard

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CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Google BigQueryLMDBOracle
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