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

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

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonInterbase  Xexclude from comparisonManticore Search  Xexclude from comparisonPouchDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopLight-weight proven RDBMS infooriginally from BorlandMulti-storage database for search, including full-text search.JavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSRelational DBMSSearch engineDocument 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
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score2.34
Rank#112  Overall
#21  Document stores
Websitehive.apache.orgwww.embarcadero.com/­products/­interbasemanticoresearch.compouchdb.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.embarcadero.com/­products/­interbasemanual.manticoresearch.compouchdb.com/­guides
DeveloperApache Software Foundation infoinitially developed by FacebookEmbarcaderoManticore SoftwareApache Software Foundation
Initial release2012198420172012
Current release3.1.3, April 2022InterBase 2020, December 20196.0, February 20237.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoGPL version 2Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++JavaScript
Server operating systemsAll OS with a Java VMAndroid
iOS
Linux
OS X
Windows
FreeBSD
Linux
macOS
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesFixed schemaschema-free
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanno
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 infoexport as XML data possibleCan index from XMLno
Secondary indexesyesyesyes infofull-text index on all search fieldsyes infovia views
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query languageno
APIs and other access methodsJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC++
Java
PHP
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
JavaScript
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoInterbase procedure and trigger languageuser defined functionsView functions in JavaScript
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorInterbase Change ViewsSynchronous replication based on Galera libraryMulti-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 ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes 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 rolesfine grained access rights according to SQL-standardnono

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HiveInterbaseManticore SearchPouchDB
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