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DBMS > Apache Pinot vs. CouchDB vs. DataFS vs. Qdrant

System Properties Comparison Apache Pinot vs. CouchDB vs. DataFS vs. Qdrant

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDataFS  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMSDocument storeObject oriented DBMSVector DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score8.30
Rank#47  Overall
#7  Document stores
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score1.28
Rank#167  Overall
#7  Vector DBMS
Websitepinot.apache.orgcouchdb.apache.orgnewdatabase.comgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.pinot.apache.orgdocs.couchdb.org/­en/­stabledev.mobiland.com/­Overview.xspqdrant.tech/­documentation
DeveloperApache Software Foundation and contributorsApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerMobiland AGQdrant
Initial release2015200520182021
Current release1.0.0, September 20233.3.3, December 20231.1.263, October 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangRust
Server operating systemsAll OS with a Java JDK11 or higherAndroid
BSD
Linux
OS X
Solaris
Windows
WindowsDocker
Linux
macOS
Windows
Data schemeyesschema-freeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-free
Typing infopredefined data types such as float or dateyesnoyesNumbers, 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 viewsnoyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLSQL-like query languagenonono
APIs and other access methodsJDBCRESTful HTTP/JSON API.NET Client API
Proprietary client DLL
WinRT client
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesGo
Java
Python
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
C
C#
C++
VB.Net
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresView functions in JavaScript
Triggersyesno, except callback-events from server when changes happened
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoimproved architecture with release 2.0Proprietary Sharding systemSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Collection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyes
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 databaseWindows-ProfileKey-based authentication

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Apache PinotCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DataFSQdrant
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