Amazon SimpleDB vs. Google BigQuery

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon SimpleDB
Score 8.0 out of 10
N/A
Amazon SimpleDB is a non-relational data store and service.
$0
per GB allowance
Google BigQuery
Score 8.6 out of 10
N/A
Google's BigQuery is part of the Google Cloud Platform, a database-as-a-service (DBaaS) supporting the querying and rapid analysis of enterprise data.
$0
per month
Pricing
Amazon SimpleDBGoogle BigQuery
Editions & Modules
Machine Utilization
$0.00 for first 25 hours $0.14 per machine hour over 25 hours
per GB allowance
Structured Data Storage
$0.00 for first GB-month $0.25 per GB-month thereafter
per GB allowance
Free Tier
25 SimpleDB Machine Hours and 1 GB of Storage for free each month
per GB allowance
Data Transfer
All data transfer in is $0.00 per GB
per GB allowance
Standard edition
$0.04 / slot hour
Enterprise edition
$0.06 / slot hour
Enterprise Plus edition
$0.10 / slot hour
Offerings
Pricing Offerings
Amazon SimpleDBGoogle BigQuery
Free Trial
NoYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Amazon SimpleDBGoogle BigQuery
Top Pros
Top Cons
Features
Amazon SimpleDBGoogle BigQuery
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Amazon SimpleDB
-
Ratings
Google BigQuery
8.5
51 Ratings
3% below category average
Automatic software patching00 Ratings8.117 Ratings
Database scalability00 Ratings8.851 Ratings
Automated backups00 Ratings8.524 Ratings
Database security provisions00 Ratings8.844 Ratings
Monitoring and metrics00 Ratings8.546 Ratings
Automatic host deployment00 Ratings8.113 Ratings
Best Alternatives
Amazon SimpleDBGoogle BigQuery
Small Businesses
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
SingleStore
SingleStore
Score 9.7 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
SingleStore
SingleStore
Score 9.7 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
SingleStore
SingleStore
Score 9.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon SimpleDBGoogle BigQuery
Likelihood to Recommend
9.0
(1 ratings)
8.6
(51 ratings)
Likelihood to Renew
-
(0 ratings)
7.0
(1 ratings)
Usability
-
(0 ratings)
9.4
(3 ratings)
Support Rating
-
(0 ratings)
10.0
(9 ratings)
Contract Terms and Pricing Model
-
(0 ratings)
10.0
(1 ratings)
Professional Services
-
(0 ratings)
8.2
(2 ratings)
User Testimonials
Amazon SimpleDBGoogle BigQuery
Likelihood to Recommend
Amazon AWS
Well suited for: Games, Chat rooms, real time software like corporate events, marathons and so. Anytime and anywhere you could use a NoSQL DB you should think of SimpleDB.
As an arduous AWS user, Amazon SimpleDB easily integrates with EC2 and other AWS module; and if you are not an AWS user, you also have a fantastic tool that will solve the problem for which you are focused.
Read full review
Google
For organizations looking to avoid the overhead of managing infrastructure, BigQuery's server-less architecture allows teams to focus on analyzing data without worrying about server maintenance or capacity planning. Small projects or startups with limited data analysis needs and tight budgets might find other solutions more cost-effective. Also, it is not suitable for OLTP systems.
Read full review
Pros
Amazon AWS
  • Flexibility
  • Easy to learn and use
  • AWS integration
Read full review
Google
  • Its serverless architecture and underlying Dremel technology are incredibly fast even on complex datasets. I can get answers to my questions almost instantly, without waiting hours for traditional data warehouses to churn through the data.
  • Previously, our data was scattered across various databases and spreadsheets and getting a holistic view was pretty difficult. Google BigQuery acts as a central repository and consolidates everything in one place to join data sets and find hidden patterns.
  • Running reports on our old systems used to take forever. Google BigQuery's crazy fast query speed lets us get insights from massive datasets in seconds.
Read full review
Cons
Amazon AWS
  • Non AWS environments
  • Strict storage limit (but well we have DynamoDB for storage issues)
Read full review
Google
  • Can't use it out of Google's cloud platform which is a minus point if you want a local setup.
  • Can be a little expensive to manage.
  • A little difficult to manage someone with less technical expertise as it requires you to have SQL knowledge of joins, CTEs etc.
Read full review
Likelihood to Renew
Amazon AWS
No answers on this topic
Google
We have to use this product as its a 3rd party supplier choice to utilise this product for their data side backend so will not be likely we will move away from this product in the future unless the 3rd party supplier decides to change data vendors.
Read full review
Usability
Amazon AWS
No answers on this topic
Google
web UI is easy and convenient. Many RDBMS clients such as aqua data studio, Dbeaver data grid, and others connect. Range of well-documented APIs available. The range of features keeps expanding, increasing similar features to traditional RDBMS such as Oracle and DB2
Read full review
Support Rating
Amazon AWS
No answers on this topic
Google
BigQuery can be difficult to support because it is so solid as a product. Many of the issues you will see are related to your own data sets, however you may see issues importing data and managing jobs. If this occurs, it can be a challenge to get to speak to the correct person who can help you.
Read full review
Alternatives Considered
Amazon AWS
It integrates beautifully with AWS. In some projects we use SimpleDB while we use DynamoDB for others, according to the characteristics of the project. If the infrastructure is AWS, we always think of one of them.
Read full review
Google
Google's Firebase isn't a competitor but we had to use Google's BigQuery because Google's Firebase's database is limited compared to Google's BigQuery. Linking your Firebase project to BigQuery lets you access your raw, unsampled event data along with all of your parameters and user properties. Highly recommend connecting the two if you have a mobile app.
Read full review
Contract Terms and Pricing Model
Amazon AWS
No answers on this topic
Google
None so far. Very satisfied with the transparency on contract terms and pricing model.
Read full review
Professional Services
Amazon AWS
No answers on this topic
Google
Google Support has kindly provide individual support and consultants to assist with the integration work. In the circumstance where the consultants are not present to support with the work, Google Support Helpline will always be available to answer to the queries without having to wait for more than 3 days.
Read full review
Return on Investment
Amazon AWS
  • Reduced database administration time
  • Reduced data model analysis time
  • Lower cost of resources in projects in general
Read full review
Google
  • Google BigQuery has had enormous impact in terms of ROI to our business, as it has allowed us to ease our dependence on our physical servers, which we pay for monthly from another hosting service. We have been able to run multiple enterprise scale data processing applications with almost no investment
  • Since our business is highly client focused, Google Cloud Platform, and BigQuery specifically, has allowed us to get very granular in how our usage should be attributed to different projects, clients, and teams.
  • Plain and simple, I believe the meager investments that we have made in Google BigQuery have paid themselves back hundreds of times over.
Read full review
ScreenShots