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DBMS > Citus vs. Hive vs. PlanetScale vs. PouchDB

System Properties Comparison Citus vs. Hive vs. PlanetScale vs. PouchDB

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonHive  Xexclude from comparisonPlanetScale  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLdata warehouse software for querying and managing large distributed datasets, built on HadoopScalable, distributed, serverless MySQL database platform built on top of VitessJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websitewww.citusdata.comhive.apache.orgplanetscale.compouchdb.com
Technical documentationdocs.citusdata.comcwiki.apache.org/­confluence/­display/­Hive/­Homeplanetscale.com/­docspouchdb.com/­guides
DeveloperApache Software Foundation infoinitially developed by FacebookPlanetScaleApache Software Foundation
Initial release2010201220202012
Current release8.1, December 20183.1.3, April 20227.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaGoJavaScript
Server operating systemsLinuxAll OS with a Java VMDocker
Linux
macOS
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yes infospecific XML type available, but no XML query functionalityno
Secondary indexesyesyesyesyes infovia views
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like DML and DDL statementsyes infowith proprietary extensionsno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Thrift
ADO.NET
JDBC
MySQL protocol
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaScript
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infouser defined functions and integration of map-reduceyes infoproprietary syntaxView functions in JavaScript
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsselectable replication factorMulti-source replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Eventual Consistency
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID at shard levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesUsers with fine-grained authorization concept infono user groups or rolesno

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CitusHivePlanetScalePouchDB
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