What users are saying about

Amazon SimpleDB

1 Ratings
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Score 9 out of 101

Google BigQuery

64 Ratings
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Score 8.8 out of 101

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Likelihood to Recommend

Amazon SimpleDB

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.
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Google BigQuery

- If you are using Google Analytics and there is huge data that is getting streamed every day then you must have Big Query and use it for analysis. It is not only helpful for analysis but also for debugging your Google Analytics implementations.- For analyzing a small dataset you don't need Big Query you can use normal MySQL on your own premises. Analyzing on Un-structured data is not possible with Big Query.
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Feature Rating Comparison

Database-as-a-Service

Amazon SimpleDB
Google BigQuery
7.6
Automatic software patching
Amazon SimpleDB
Google BigQuery
10.0
Database scalability
Amazon SimpleDB
Google BigQuery
7.4
Automated backups
Amazon SimpleDB
Google BigQuery
7.8
Database security provisions
Amazon SimpleDB
Google BigQuery
8.2
Monitoring and metrics
Amazon SimpleDB
Google BigQuery
5.5
Automatic host deployment
Amazon SimpleDB
Google BigQuery
6.9

Pros

  • Flexibility
  • Easy to learn and use
  • AWS integration
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  • Big Query is fast and based on the cloud you can run your query on a huge dataset. Huge means data in TB's. This also reduces the company cost to build that kind of infrastructure to store data.
  • Not specific to Google Analytics but you can import data from different sources for analysis purpose and use the power of the cloud to run the query.
  • Not much time to learn - You don't need any special skills, just SQL and you can use Big Query for your use. Learning SQL is not a big task you can learn it in a week.
  • Big Query refrence schema and different sample query are available to practice on queries.
  • Google also provide sample dataset to use then purchase Big Query.
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Cons

  • Non AWS environments
  • Strict storage limit (but well we have DynamoDB for storage issues)
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  • Though it is SQL some syntax are different but they are getting used to after you use for some time.
  • The legacy SQL is in beta state but can be used and you can run the query with simple SQL.
  • More documentation is needed for using User-defined functions in Big Query.
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Alternatives Considered

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.
Miguel Angel Merino Vega profile photo
Comparing to competitors, Google BigQuery has the lowest cost and most flexible pricing model. Definitely higher ROI.
Charles Chao profile photo

Return on Investment

  • Reduced database administration time
  • Reduced data model analysis time
  • Lower cost of resources in projects in general
Miguel Angel Merino Vega profile photo
  • By using BigQuery for visualization and personalization, we were able to achieve 5% higher conversion rate.
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Pricing Details

Amazon SimpleDB

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

Google BigQuery

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details