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DBMS > Amazon DynamoDB vs. Google Cloud Bigtable vs. Google Cloud Datastore

System Properties Comparison Amazon DynamoDB vs. Google Cloud Bigtable vs. Google Cloud Datastore

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform
Primary database modelDocument store
Key-value store
Key-value store
Wide column store
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score87.26
Rank#15  Overall
#2  Document stores
#2  Key-value stores
Score4.84
Rank#80  Overall
#13  Key-value stores
#6  Wide column stores
Score6.45
Rank#67  Overall
#12  Document stores
Websiteaws.amazon.com/­dynamodbcloud.google.com/­bigtablecloud.google.com/­datastore
Technical documentationdocs.aws.amazon.com/­dynamodbcloud.google.com/­bigtable/­docscloud.google.com/­datastore/­docs
DeveloperAmazonGoogleGoogle
Initial release201220152008
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshostedhostedhosted
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes, details here
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 indexesyesnoyes
SQL infoSupport of SQLnonoSQL-like query language (GQL)
APIs and other access methodsRESTful HTTP APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonousing Google App Engine
Triggersyes infoby integration with AWS LambdanoCallbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integritynonoyes infovia ReferenceProperties or Ancestor paths
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 regionAtomic single-row operationsACID infoSerializable Isolation within Transactions, Read Committed outside of Transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Amazon DynamoDBGoogle Cloud BigtableGoogle Cloud Datastore
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Recent citations in the news

Using a NestJS Application with DynamoDB and Serverless Framework on AWS
22 July 2022, hackernoon.com

AWS: Here's how our cloud-computing infrastructure dealt with Amazon Prime day
26 July 2022, ZDNet

How to Manage Your Asynchronous API With DynamoDB Streams
15 June 2022, Built In

Imperva Extends its Data Security Fabric to Include Enterprise Data Lakes Built on AWS
26 July 2022, Business Wire

DynamoDB’s co-creator reflects on the database’s birthday and how cloud is driving a machine learning future
15 February 2022, SiliconANGLE News

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Google Introduces Zero-ETL Approach to Analytics on Bigtable Data Using BigQuery
11 August 2022, InfoQ.com

Google Still Searching For Location To Establish Its Malaysian Data Centre
12 August 2022, Lowyat.NET

Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs
31 January 2022, InfoQ.com

Google scales up Cloud Bigtable NoSQL database
27 January 2022, TechTarget

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

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It's So Hot the Clouds Are Melting
20 July 2022, Gizmodo

On-premises vs. cloud data warehouses: Pros and cons
22 July 2022, TechTarget

Key factors to achieve data security in cloud computing
18 July 2022, TechTarget

Normalyze Announces General Availability of Its Freemium Offering To Help DevSecOps and Security Engineers Discover and Secure Cloud Data
9 August 2022, PR Newswire

Google announces new faster API for Google Cloud Datastore
4 April 2016, 9to5Google

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