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

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

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonManticore Search  Xexclude from comparisonPouchDB  Xexclude from comparisonTimesTen  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopMulti-storage database for search, including full-text search.JavaScript DBMS with an API inspired by CouchDBIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSSearch engineDocument storeRelational DBMS
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
Score2.34
Rank#112  Overall
#21  Document stores
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitehive.apache.orgmanticoresearch.compouchdb.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homemanual.manticoresearch.compouchdb.com/­guidesdocs.oracle.com/­database/­timesten-18.1
DeveloperApache Software Foundation infoinitially developed by FacebookManticore SoftwareApache Software FoundationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2012201720121998
Current release3.1.3, April 20226.0, February 20237.1.1, June 201911 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPL version 2Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaScript
Server operating systemsAll OS with a Java VMFreeBSD
Linux
macOS
Windows
server-less, requires a JavaScript environment (browser, Node.js)AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesFixed schemaschema-freeyes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleannoyes
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 XMLnono
Secondary indexesyesyes infofull-text index on all search fieldsyes infovia viewsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagenoyes
APIs and other access methodsJDBC
ODBC
Thrift
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC++
Java
PHP
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
JavaScriptC
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsView functions in JavaScriptPL/SQL
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSynchronous replication based on Galera libraryMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesnoACID
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 infoby using IndexedDB, WebSQL or LevelDB as backendyes infoby means of logfiles and checkpoints
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 rolesnonofine grained access rights according to SQL-standard

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HiveManticore SearchPouchDBTimesTen
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