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DBMS > Google BigQuery vs. PouchDB

System Properties Comparison Google BigQuery vs. PouchDB

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score57.82
Rank#18  Overall
#12  Relational DBMS
Score2.31
Rank#111  Overall
#21  Document stores
Websitecloud.google.com/­bigquerypouchdb.com
Technical documentationcloud.google.com/­bigquery/­docspouchdb.com/­guides
DeveloperGoogleApache Software Foundation
Initial release20102012
Current release7.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScript
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesno
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.nono
Secondary indexesnoyes infovia views
SQL infoSupport of SQLyesno
APIs and other access methodsRESTful HTTP/JSON APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptView functions in JavaScript
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datano
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyesyes 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.noyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)no

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More resources
Google BigQueryPouchDB
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