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DBMS > Amazon DynamoDB vs. Google BigQuery

System Properties Comparison Amazon DynamoDB vs. Google BigQuery

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Our visitors often compare Amazon DynamoDB and Google BigQuery with Amazon Redshift, Microsoft Azure Cosmos DB and Google Cloud Datastore.

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudLarge scale data warehouse service with append-only tables
Primary database modelDocument store
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.18
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score25.63
Rank#28  Overall
#16  Relational DBMS
Websiteaws.amazon.com/­dynamodbcloud.google.com/­bigquery
Technical documentationdocs.aws.amazon.com/­dynamodbcloud.google.com/­bigquery/­docs
DeveloperAmazonGoogle
Initial release20122010
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercial
Cloud-based only infoOnly available as a cloud serviceyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshostedhosted
Data schemeschema-freeyes
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.no
Secondary indexesyesno
SQL infoSupport of SQLnoyes
APIs and other access methodsRESTful HTTP APIRESTful HTTP/JSON API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScript
Triggersyes infoby integration with AWS Lambdano
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionno infoSince BigQuery is designed for querying data
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 rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)

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More resources
Amazon DynamoDBGoogle BigQuery
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Recent citations in the news

3 cost-cutting tips for Amazon DynamoDB
17 July 2019, InfoWorld

DocumentDB vs. DynamoDB: Compare AWS NoSQL databases
26 April 2019, TechTarget

AWS DynamoDB Database as a Service
27 February 2019, Enterprise Storage Forum

Rockset Now Supports Amazon DynamoDB
20 August 2019, Database Trends and Applications

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11 September 2019, TechCrunch

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13 December 2018, Analytics India Magazine

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23 March 2016, ZDNet

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