What users are saying about
2 Ratings
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Score 8.3 out of 101
92 Ratings
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Score 8.2 out of 101

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.
Miguel Angel Merino Vega profile photo

Google BigQuery

BigQuery is unlike anything we've used as a big data tool. It is perfectly suited to query large data sets quickly and to store those large data sets for any time use. It's perfect for storing data and using it for reports. Logging data is the perfect application for BigQuery, but transactional data is possible as well
Tristan Dobbs profile photo

Feature Rating Comparison

Database-as-a-Service

Amazon SimpleDB
Google BigQuery
9.0
Automatic software patching
Amazon SimpleDB
Google BigQuery
9.4
Database scalability
Amazon SimpleDB
Google BigQuery
9.1
Automated backups
Amazon SimpleDB
Google BigQuery
8.4
Database security provisions
Amazon SimpleDB
Google BigQuery
9.1
Monitoring and metrics
Amazon SimpleDB
Google BigQuery
8.5
Automatic host deployment
Amazon SimpleDB
Google BigQuery
9.3

Pros

Amazon SimpleDB

  • Flexibility
  • Easy to learn and use
  • AWS integration
Miguel Angel Merino Vega profile photo

Google BigQuery

  • How many pros can a person type? This storage program gives workers and students the reality of unlimited storage space. I have never came close to overfilling my google cloud storage because it's huge and the best. I can view anything I save on there from any of my internet devices which is very important.
  • Depending on how you have the program set up - either online or through an application that lives on your desktop, dragging and dropping files to and from Cloud Storage couldn't be any more uncomplicated. Plus, new users who meet certain criteria - like updating personal security, or share the program receive additional free online storage.
  • The array of tools is very impressive, intuitive to use, and well organized in the sense that you don't have to go looking for individual apps. They're all easily accessed via a single dropdown.
Sam Lepak profile photo

Cons

Amazon SimpleDB

  • Non AWS environments
  • Strict storage limit (but well we have DynamoDB for storage issues)
Miguel Angel Merino Vega profile photo

Google BigQuery

  • 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.
No photo available

Usability

Amazon SimpleDB

No score
No answers yet
No answers on this topic

Google BigQuery

Google BigQuery 9.0
Based on 1 answer
BigQuery is a little bit difficult to learn at first. The tools are all there but it takes a few hours of practice and trial and error to be comfortable processing a large dataset. It can handle quite a bit and the cloud storage makes those experimental practice hours much easier to do in your spare time. The software is capable of doing a lot, it's just a matter of being patient and learning the ways of BigQuery.
No photo available

Support

Amazon SimpleDB

No score
No answers yet
No answers on this topic

Google BigQuery

Google BigQuery 8.8
Based on 4 answers
Online documentation was readily available and it was easy to connected with the product management team for Google BigQuery during Google Cloud Next 2019 event. We didn't have to open a SR/ticket through the usual support channel to get our issues resolved!
No photo available

Alternatives Considered

Amazon SimpleDB

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

Google BigQuery

Spinning up, provisioning, maintaining and debugging a Hadoop solution can be non-trivial, painful. I'm talking about both GCE based or HDInsight clusters. It requires expertise (+ employee hire, costs). With BigQuery if someone has a good SQL knowledge (and maybe a little programming), can already start to test and develop. All of the infrastructure and platform services are taken care of. Google BigQuery is a magnitudes simpler to use than Hadoop, but you have to evaluate the costs. BigQuery billing is dependent on your data size and how much data your query touches.
Csaba Toth profile photo

Return on Investment

Amazon SimpleDB

  • Reduced database administration time
  • Reduced data model analysis time
  • Lower cost of resources in projects in general
Miguel Angel Merino Vega profile photo

Google BigQuery

  • 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.
Alex Andrews profile photo

Pricing Details

Amazon SimpleDB

General

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

Google BigQuery

General

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

Rating Summary

Likelihood to Recommend

Amazon SimpleDB
9.0
Google BigQuery
7.5

Usability

Amazon SimpleDB
Google BigQuery
9.0

Support

Amazon SimpleDB
Google BigQuery
8.8

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