What users are saying about
Top Rated
103 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring#question3' target='_blank' rel='nofollow noopener noreferrer'>Customer Verified: Read more.</a>
Top Rated
566 Ratings
Top Rated
103 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>
Score 8.6 out of 100

Microsoft Azure

<a href='https://www.trustradius.com/static/about-trustradius-scoring#question3' target='_blank' rel='nofollow noopener noreferrer'>Customer Verified: Read more.</a>
Top Rated
566 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>
Score 8.4 out of 100

Likelihood to Recommend

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 | TrustRadius Reviewer

Microsoft Azure

This is just a fantastic platform for dipping your toes into new technologies or running parallel testing of tings like ETL’s and BI Tools. Storage is so cheap and you can switch things on and off at will to save costs. Even if you are a 1-server company just managing email and file storage, going virtual is simply the best option. We still have a few on-prem servers and old Oracle items that we are swiftly moving to eliminate because the cloud is just that much easier and cost effective.
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

Database-as-a-Service

Google BigQuery
9.0
Microsoft Azure
Automatic software patching
Google BigQuery
9.3
Microsoft Azure
Database scalability
Google BigQuery
9.3
Microsoft Azure
Automated backups
Google BigQuery
8.7
Microsoft Azure
Database security provisions
Google BigQuery
8.9
Microsoft Azure
Monitoring and metrics
Google BigQuery
8.8
Microsoft Azure
Automatic host deployment
Google BigQuery
9.0
Microsoft Azure

Platform-as-a-Service

Google BigQuery
Microsoft Azure
8.2
Ease of building user interfaces
Google BigQuery
Microsoft Azure
8.2
Scalability
Google BigQuery
Microsoft Azure
8.9
Platform management overhead
Google BigQuery
Microsoft Azure
7.6
Workflow engine capability
Google BigQuery
Microsoft Azure
7.6
Platform access control
Google BigQuery
Microsoft Azure
8.2
Services-enabled integration
Google BigQuery
Microsoft Azure
8.5
Development environment creation
Google BigQuery
Microsoft Azure
8.8
Development environment replication
Google BigQuery
Microsoft Azure
8.7
Issue monitoring and notification
Google BigQuery
Microsoft Azure
7.8
Issue recovery
Google BigQuery
Microsoft Azure
7.7
Upgrades and platform fixes
Google BigQuery
Microsoft Azure
8.0

Pros

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 | TrustRadius Reviewer

Microsoft Azure

  • Perhaps the biggest advantage of Microsoft Azure is its ease of integration with other Microsoft products. If you're used to using Excel, Access, SQL Server, and other Microsoft products, Azure will fit in nicely.
  • Azure does a good job at pointing the user into user-friendly methods for data capture and analysis. In fact, I think Azure does the best job at this compared to competing tools.
  • Microsoft Azure has recently made strides in implementing advanced analytics, such as machine learning. Their advances are great and integrate nicely with the tool.
Thomas Young | TrustRadius Reviewer

Cons

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.
Anonymous | TrustRadius Reviewer

Microsoft Azure

  • Sometimes its a bit overwhelming as to the volume of functions
  • The layout could be more intuitive
  • While there are a lot of support docs it could be laid out a bit better to help you get where you need to go
Kyle Kochtan | TrustRadius Reviewer

Likelihood to Renew

Google BigQuery

No score
No answers yet
No answers on this topic

Microsoft Azure

Microsoft Azure 10.0
Based on 15 answers
Moving to Azure was and still is an organizational strategy and not simply changing vendors. Our product roadmap revolved around Azure as we are in the business of humanitarian relief and Azure and Microsoft play an important part in quickly and efficiently serving all of the world. Migration and investment in Azure should be considered as an overall strategy of an organization and communicated companywide.
Amir Tabei | TrustRadius Reviewer

Usability

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.
Anonymous | TrustRadius Reviewer

Microsoft Azure

Microsoft Azure 8.9
Based on 20 answers
Fairly easy to manage with a lot of small exceptions. Interface blades can seem to branch out many levels deep making changes and available settings difficult to find. There are seemingly endless and obscure gotchas and undocumented limitations and pitfalls that can only be realized after the fact.
Anonymous | TrustRadius Reviewer

Reliability and Availability

Google BigQuery

No score
No answers yet
No answers on this topic

Microsoft Azure

Microsoft Azure 6.8
Based on 2 answers
It has proven to be unreliable in our production environment and services become unavailable without proper notification to system administrators
Anonymous | TrustRadius Reviewer

Support Rating

Google BigQuery

Google BigQuery 8.5
Based on 8 answers
I rated the overall support for Google BigQuery as a mediocre five because it has limited support from Google. Instead, it is heavily dependent on an organization's IT resources such as SQL analysts and Data Architects to run big data reports or maintain data quality. Additionally, if errors occur during a run of complex SQL queries or when sending data to Google BigQuery from other sources, Google provides basic email support which needs to be complemented with internal data warehouse support to fix the root cause of the database errors. Finally, due to constraints on the amount of data an analyst can query or pay the additional cost when exceeding the limit, basic Google support is not sufficient to meet data needs without interruption.
Anonymous | TrustRadius Reviewer

Microsoft Azure

Microsoft Azure 8.0
Based on 21 answers
Microsoft products are well-known for 24x7 global coverage of customer support. They also sometimes come with a multiple support plan, which caters to different business requirements and needs. However, more support will also mean more cost to bare. Other than that, limited options in technical training sometimes make it quite challenging in finding the right talents for managing Microsoft Azure clouds and more dependency in Microsoft technical support.
Anonymous | TrustRadius Reviewer

Implementation Rating

Google BigQuery

No score
No answers yet
No answers on this topic

Microsoft Azure

Microsoft Azure 8.0
Based on 2 answers
As I have mentioned before the issue with my Oracle Mismatch Version issues that have put a delay on moving one of my platforms will justify my 7 rating.
Amir Tabei | TrustRadius Reviewer

Alternatives Considered

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 | TrustRadius Reviewer

Microsoft Azure

Google Cloud has a selection of products that are specific to machine-learning, but they are better for more specific use-cases like Natural Language Processing, Computer Vision, and other APIs. For our company, we were looking for APIs and cloud products that had a bit more flexibility in their interface, which is something that Azure offered for more of their products.
Fedor Paretsky | TrustRadius Reviewer

Return on Investment

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 | TrustRadius Reviewer

Microsoft Azure

  • This solution has allowed reduction of hardware costs. Virtualization is by far much less expensive than onsite platforms.
  • Buying and configuring systems is costly in terms of initial investment and specialized staff. Azure minimizes those costs.
  • Azure has created a positive impact on our business objectives in the sense that it has allowed system integrations to become available in a quicker time frame than typically expected.
Anonymous | TrustRadius Reviewer

Pricing Details

Google BigQuery

General

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

Microsoft Azure

General

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

Rating Summary

Likelihood to Recommend

Google BigQuery
8.3
Microsoft Azure
8.7

Likelihood to Renew

Google BigQuery
Microsoft Azure
10.0

Usability

Google BigQuery
9.0
Microsoft Azure
8.9

Reliability and Availability

Google BigQuery
Microsoft Azure
6.8

Support Rating

Google BigQuery
8.5
Microsoft Azure
8.0

Implementation Rating

Google BigQuery
Microsoft Azure
8.0

Add comparison