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DBMS > CouchDB vs. GeoSpock vs. MonetDB vs. Qdrant

System Properties Comparison CouchDB vs. GeoSpock vs. MonetDB vs. Qdrant

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGeoSpock  Xexclude from comparisonMonetDB  Xexclude from comparisonQdrant  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Spatial and temporal data processing engine for extreme data scaleA relational database management system that stores data in columnsA high-performance vector database with neural network or semantic-based matching
Primary database modelDocument storeRelational DBMSRelational DBMSVector DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.30
Rank#47  Overall
#7  Document stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score1.28
Rank#167  Overall
#6  Vector DBMS
Websitecouchdb.apache.orggeospock.comwww.monetdb.orggithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.couchdb.org/­en/­stablewww.monetdb.org/­Documentationqdrant.tech/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGeoSpockMonetDB BVQdrant
Initial release200520042021
Current release3.3.3, December 20232.0, September 2019Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2.0
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 languageErlangJava, JavascriptCRust
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
hostedFreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesNumbers, Strings, Geo, Boolean
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.nonono
Secondary indexesyes infovia viewstemporal, categoricalyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)yes infoSQL 2003 with some extensionsno
APIs and other access methodsRESTful HTTP/JSON APIJDBCJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresView functions in JavaScriptnoyes, in SQL, C, R
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0Automatic shardingSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none infoSource-replica replication available in experimental statusCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possiblenoACID
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.nonoyes
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users can be defined per tablefine grained access rights according to SQL-standardKey-based authentication

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More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"GeoSpockMonetDBQdrant
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