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 Google Cloud Datastore, Amazon Redshift and Microsoft Azure Cosmos DB.

Editorial information provided by DB-Engines

Name

Description

Hosted, scalable database service by Amazon with the data stored in Amazons cloud

Large scale data warehouse service with append-only tables

Primary database model

Document store
Key-value store

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	68.41
Rank	#16	Overall
	#2	Document stores
	#2	Key-value stores

Score	34.41
Rank	#24	Overall
	#15	Relational DBMS

Website

aws.amazon.com/dynamodb

cloud.google.com/bigquery

Technical documentation

docs.aws.amazon.com/dynamodb

cloud.google.com/bigquery/docs

Developer

Amazon

Google

Initial release

2012

2010

License

Commercial or Open Source

commercial info

free tier for a limited amount of database operations

commercial

Cloud-based only info

Only available as a cloud service

yes

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Server operating systems

hosted

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

RESTful HTTP API

RESTful 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 info

Stored procedures

user defined functions info

in JavaScript

Triggers

yes

by integration with AWS Lambda

Partitioning methods info

Methods for storing different data on different nodes

Sharding

none

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency info

can be specified for read operations

Immediate Consistency

Foreign keys info

Referential integrity

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

ACID

ACID across one or more tables within a single AWS account and region

Since BigQuery is designed for querying data

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

User concepts info

Access control

Access 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 info

Google Cloud Identity & Access Management (IAM)

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