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DBMS > Google BigQuery vs. ToroDB

System Properties Comparison Google BigQuery vs. ToroDB

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Our visitors often compare Google BigQuery and ToroDB with Amazon DynamoDB, MongoDB and ClickHouse.

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonToroDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score34.41
Rank#24  Overall
#15  Relational DBMS
Score0.10
Rank#314  Overall
#42  Document stores
Websitecloud.google.com/­bigquerywww.torodb.com
Technical documentationcloud.google.com/­bigquery/­docswww.torodb.com/­stampede/­docs
DeveloperGoogle8Kdata
Initial release20102016
License infoCommercial or Open SourcecommercialOpen Source infoAGPL-V3
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 languageJava
Server operating systemshostedAll OS with a Java 7 VM
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, boolean, date, object_id
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 indexesno
SQL infoSupport of SQLyes
APIs and other access methodsRESTful HTTP/JSON API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScript
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate 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 datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)Access rights for users and roles

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More resources
Google BigQueryToroDB
DB-Engines blog posts

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Recent citations in the news

Comparing Redshift and BigQuery in various terms
13 December 2018, Analytics India Magazine

provided by Google News




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