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DBMS > Hive vs. Manticore Search vs. OrigoDB vs. PouchDB

System Properties Comparison Hive vs. Manticore Search vs. OrigoDB vs. PouchDB

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonManticore Search  Xexclude from comparisonOrigoDB  Xexclude from comparisonPouchDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopMulti-storage database for search, including full-text search.A fully ACID in-memory object graph databaseJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSSearch engineDocument store
Object oriented DBMS
Document store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitehive.apache.orgmanticoresearch.comorigodb.compouchdb.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homemanual.manticoresearch.comorigodb.com/­docspouchdb.com/­guides
DeveloperApache Software Foundation infoinitially developed by FacebookManticore SoftwareRobert Friberg et alApache Software Foundation
Initial release201220172009 infounder the name LiveDB2012
Current release3.1.3, April 20226.0, February 20237.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPL version 2Open SourceOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C#JavaScript
Server operating systemsAll OS with a Java VMFreeBSD
Linux
macOS
Windows
Linux
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesFixed schemayesschema-free
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, BooleanUser defined using .NET types and collectionsno
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.Can index from XMLno infocan be achieved using .NETno
Secondary indexesyesyes infofull-text index on all search fieldsyesyes infovia views
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagenono
APIs and other access methodsJDBC
ODBC
Thrift
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
.NET Client API
HTTP API
LINQ
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC++
Java
PHP
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.NetJavaScript
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsyesView functions in JavaScript
Triggersnonoyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning infoclient side managed; servers are not synchronizedSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSynchronous replication based on Galera librarySource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes infoWrite ahead logyes 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.yesyes
User concepts infoAccess controlAccess rights for users, groups and rolesnoRole based authorizationno

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HiveManticore SearchOrigoDBPouchDB
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