Google BigQuery

Google BigQuery

Score 8.8 out of 10
Google BigQuery

Overview

What is Google BigQuery?

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.
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Recent Reviews

BigQuery = Big Win

9 out of 10
April 26, 2021
BigQuery (along with Airflow) has become a critical part of our technology stack. It is being used to support the ingestion of large …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 6 features
  • Database scalability (30)
    9.4
    94%
  • Database security provisions (24)
    9.2
    92%
  • Automated backups (24)
    9.0
    90%
  • Monitoring and metrics (26)
    7.9
    79%

Reviewer Pros & Cons

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Video Reviews

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Pricing

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Queries (Hourly Flex Slots)

$4

Cloud
per 100 slots

Queries (On-Demand)

$5

Cloud
per TB

Queries (Annual Flat Rate)

$1,700

Cloud
per 100 slots

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services
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Features

Database-as-a-Service

Database as a Service (DBaaS) software, sometimes referred to as cloud database software, is the delivery of database services ocer the Internet as a service

8.9Avg 8.7
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Product Details

What is Google BigQuery?

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.

Google BigQuery Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

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.

Reviewers rate Database scalability highest, with a score of 9.4.

The most common users of Google BigQuery are from Mid-sized Companies (51-1,000 employees).
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Comparisons

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Reviews

(1-25 of 31)
Companies can't remove reviews or game the system. Here's why
Lee L Kennedy | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
  • With Google BigQuery, we're able to report on data we didn't have access to with our old reporting.
  • I've tried a few visualization/BI tools, but for our immediate needs (that are basic for now), the BQ warehouse with GDS as the visualization piece has been a good option.
Score 10 out of 10
Vetted Review
Verified User
  • Positive - My organization has faced great profits and has trubleshooted many issues before hand because of the realtime data to work on. It keeps the data up to date.
  • Negative - As there are various Google BigQuer proficiency people in the organization. Some very experienced and some novice. It has a negative impact because people who are new write longer and inefficient codes so the company is charged more.
Score 9 out of 10
Vetted Review
Verified User
  • Integrate well with google data visualization tools that can save a lot of money on licensing of other tools.
  • Requires basic SQL skills which are transferrable and saves money spent on training.
  • Gives an all out data retrieval and storage service which makes it a lot easier for employees across organization to fetch data.
April 26, 2021

BigQuery = Big Win

Score 9 out of 10
Vetted Review
Verified User
  • Once up and running, we no longer have to worry about scale and managing infrastructure. Instead of spending our time on our analytics and bringing that value to our customers.
Score 10 out of 10
Vetted Review
Verified User
  • Big Query helps to analyze web traffic from different channels to optimize our message and conversion paths.
  • We use BigQuery Data Transfer Service for Google Ads to automatically schedule and manage recurring load jobs for Google Ads reporting data.
Score 8 out of 10
Vetted Review
Verified User
  • Being server-less, fully managed cloud server, Google BigQuery has a positive impact on the business in terms of amount of setup time and deployment resources needed to analyze a data set.
  • Positive impact on ROI due to reduction in CapEx and OpEx needed to provision a data warehouse upfront.
  • Positive impact on ROI due to no improvement in the speed of analyzing consumer data using Google BigQuery in real-time and proactively take action when/if needed based on the results.
Tristan Dobbs | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Reseller
  • We've seen a greatly reduced cost in data storage.
  • We have gained the ability to make more immediate data-driven decisions.
  • We have gained the ability to run many more reports and gain insight much faster.
Score 7 out of 10
Vetted Review
Verified User
  • BigQuery has been a great benefit for managing large datasets. We collect quite a bit of data in our line of work and it's difficult to find program that can easily manage that as well as have it accessible via cloud storage.
  • The cost is high, even though you only pay for what you use. Ideally the cost would be lower for certain usage ranges but for now, it's difficult for a small company to justify the cost even with such large scale data.
Sam Lepak | TrustRadius Reviewer
Score 5 out of 10
Vetted Review
Verified User
  • Pricing has been very reasonable for us. The first 10 GB of storage is free each month and costs start at 2 cents per GB per month after that. For example, if you store 1 terabyte (TB) for a month, then the cost would be $20. Streaming data inserts start at 1 cent per 200 megabytes (MBs). The first 1 TB of queries is free, with additional analysis at $5 per TB thereafter. Meta data operations are free.
  • Big Query helps reduce the bar for data analytics, ML and AI. BQ takes care of mundane tasks and streamlines for easy data processing, consumption. The most impressive thing is the ML and AI integration as SQL functions, so the need for moving data around is minimized.
  • The visuals of ML models is very helpful to fine tune training, model building and prediction, etc.
Spencer Baselice | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
  • It helps us to manage and understand the larger breadth of our Search Engine presence using data from our Search Console API. This helps us locate and track issues and improvements.
  • Using BgiQuery also improves the access to multiple types of data that we use for tracking performance and monitoring changes in our competitive position in the SERPs.
  • It allows us a faster, easier way to manage and store large databases without having to host them on a local machine or another cloud.
Score 6 out of 10
Vetted Review
Verified User
  • ROI is very small although it's positive. Still, I am not happy with this product as it took five to six days to understand the flow of the product and how to implement it into our project, whereas other database systems would have taken one to two days.
Anatoly Geyfman | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
  • We were able to reduce our investment in self-hosted Postgres and move our bigger data assets to BigQuery. Overall, we saved hundreds per month, thousands per year.
  • We are able to search through very large datasets with BQ that were difficult to search with standard Postgres, even on very large servers. This gave us the ability to do ad-hoc data introspection easily.
  • Because we already used Google Storage, it was easy to integrate BQ into our environment.
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