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DBMS > Apache Pinot vs. Firebase Realtime Database vs. Manticore Search vs. PouchDB

System Properties Comparison Apache Pinot vs. Firebase Realtime Database vs. Manticore Search vs. PouchDB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonManticore Search  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Multi-storage database for search, including full-text search.JavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSDocument storeSearch 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
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score0.29
Rank#302  Overall
#21  Search engines
Score2.34
Rank#112  Overall
#21  Document stores
Websitepinot.apache.orgfirebase.google.com/­products/­realtime-databasemanticoresearch.compouchdb.com
Technical documentationdocs.pinot.apache.orgfirebase.google.com/­docs/­databasemanual.manticoresearch.compouchdb.com/­guides
DeveloperApache Software Foundation and contributorsGoogle infoacquired by Google 2014Manticore SoftwareApache Software Foundation
Initial release2015201220172012
Current release1.0.0, September 20236.0, February 20237.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL version 2Open Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaScript
Server operating systemsAll OS with a Java JDK11 or higherhostedFreeBSD
Linux
macOS
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeFixed 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.noCan index from XMLno
Secondary indexesyesyes infofull-text index on all search fieldsyes infovia views
SQL infoSupport of SQLSQL-like query languagenoSQL-like query languageno
APIs and other access methodsJDBCAndroid
iOS
JavaScript API
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGo
Java
Python
Java
JavaScript
Objective-C
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
JavaScript
Server-side scripts infoStored procedureslimited functionality with using 'rules'user defined functionsView functions in JavaScript
TriggersCallbacks are triggered when data changesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding 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 nodesSynchronous 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 methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyes
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 backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyes, based on authentication and database rulesnono

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More resources
Apache PinotFirebase Realtime DatabaseManticore SearchPouchDB
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