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Google BigQuery

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
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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 (51)
    8.8
    88%
  • Database security provisions (44)
    8.8
    88%
  • Automated backups (24)
    8.5
    85%
  • Monitoring and metrics (46)
    8.5
    85%

Reviewer Pros & Cons

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Pricing

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Standard edition

$0.04 / slot hour

Cloud

Enterprise edition

$0.06 / slot hour

Cloud

Enterprise Plus edition

$0.10 / slot hour

Cloud

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://cloud.google.com/bigquery/prici…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services
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Product Demos

Lesson#6 - BigQuery for beginners| Analyzing data in google bigquery | Step by step tutorial (2020)

YouTube

How to get started with BigQuery

YouTube

BigQuery, IPython, Pandas and R for data science, starring Pearson

YouTube

Google BigQuery Demo

YouTube

Google BigQuery introduction by Jordan Tigani

YouTube
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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

8.5
Avg 8.7
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Product Details

What is Google BigQuery?

Google BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data. At the core of Google’s data cloud, BigQuery can be used to simplify data integration and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make an organization’s operations more data-driven.

Google BigQuery Features

Database-as-a-Service Features

  • Supported: Database scalability
  • Supported: Database security provisions
  • Supported: Monitoring and metrics

Additional Features

  • Supported: Unified experience for all analytics users
  • Supported: Duet AI in BigQuery
  • Supported: Flexibility, predictable pricing, and best price performance
  • Supported: Built-in machine learning
  • Supported: Analyze and share data across clouds
  • Supported: Real-time analytics with streaming data pipelines
  • Supported: Unify, manage, and govern all types of data
  • Supported: Share insights with built-in business intelligence
  • Supported: Geospatial analysis with BigQuery
  • Supported: Real-time change data capture and replication

Google BigQuery Competitors

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.

Google BigQuery starts at $0.

Snowflake and Amazon Redshift are common alternatives for Google BigQuery.

Reviewers rate Database scalability and Database security provisions highest, with a score of 8.8.

The most common users of Google BigQuery are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(249)

Attribute Ratings

Reviews

(1-25 of 51)
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Deep Mukherji | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Previously, running complex queries on our on-premise data warehouse could take hours. Google BigQuery processes the same queries in minutes. We estimate it saves our team at least 25% of their time.
  • We can target our marketing campaigns very easily and understand our customer behaviour. It lets us personalize marketing campaigns and product recommendations and experience at least a 20% improvement in overall campaign performance.
  • Now, we only pay for the resources we use. Saved $1 million annually on data infrastructure and data storage costs compared to our previous solution.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • It has really helped us to get insights on out customer spending.
  • It has improved our customers experience by getting a proper dashboard in a glance.
  • Google BigQuery is very fast so analyzing Petabytes of data takes minutes. Which is just amazing for company having 100s of customers.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • For Storage Purpose It saves a lot of cost compared to other tools
  • They provide multi functionality like you can do SQL query on your data
  • You can also build your dashboard on your data sets which you have uploaded on Google BigQuery with the help of Google Data Studio since both are of Google Products they are already interlinked with each other.
March 12, 2024

Great platform

Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • BigQuery's scalability has empowered us to analyze vast datasets very efficiently.
  • BigQuery's user-friendly interface facilitates collaboration among our team members with different technical expertise.
Lee L Kennedy | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • 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.
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