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DBMS > Hive vs. MongoDB vs. SQLite

System Properties Comparison Hive vs. MongoDB vs. SQLite

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonMongoDB  Xexclude from comparisonSQLite  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureWidely used embeddable, in-process RDBMS
Primary database modelRelational DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.89
Rank#17  Overall
#11  Relational DBMS
Score477.90
Rank#5  Overall
#1  Document stores
Score134.63
Rank#10  Overall
#7  Relational DBMS
Websitehive.apache.orgwww.mongodb.comwww.sqlite.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.mongodb.com/­manualwww.sqlite.org/­docs.html
DeveloperApache Software Foundation infoinitially developed by FacebookMongoDB, IncDwayne Richard Hipp
Initial release201220092000
Current release3.1.3, April 20226.0.1, August 20223.40.0  (16 November 2022), November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
server-less
Data schemeyesschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yes infodynamic column types
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes infonot rigid because of 'dynamic typing' concept.
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.no
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsRead-only SQL queries via the MongoDB Connector for BIyes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
ODBC
Thrift
proprietary protocol using JSONADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesC++
Java
PHP
Python
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJavaScriptno
Triggersnoyes infoin MongoDB Atlas onlyyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights for users and rolesno

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