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DBMS > Google BigQuery vs. Lovefield

System Properties Comparison Google BigQuery vs. Lovefield

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesEmbeddable relational database for web apps written in pure JavaScript
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score57.82
Rank#18  Overall
#12  Relational DBMS
Score0.25
Rank#298  Overall
#135  Relational DBMS
Websitecloud.google.com/­bigquerygoogle.github.io/­lovefield
Technical documentationcloud.google.com/­bigquery/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperGoogleGoogle
Initial release20102014
Current release2.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScript
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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
SQL infoSupport of SQLyesSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsRESTful HTTP/JSON API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptno
TriggersnoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDB
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 BigQueryLovefield
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