Google BigQuery Overview

Google BigQuery is a serverless, cost-effective, and multicloud data warehouse. It helps turn big data into valuable business insights efficiently.

Use Cases

Customers recommend Lead Analytics, Advertisement, Funnel Analysis, as the business use cases that they have been most satisfied with while using Google BigQuery.

Other use cases:

  • Social Media Analytics
  • Competitive Intelligence
  • Campaign Management
  • Sending & Publishing Communications
  • Contract Management
  • Training & Onboarding
  • Engagement Management
See all use cases See less use cases

Business Priorities

Acquire Customers and Scale Best Practices are the most popular business priorities that customers and associates have achieved using Google BigQuery.

Other priorities:

  • Improve Efficiency
  • Enhance Customer Relationships
  • Improve Stakeholder Relations
  • Increase Sales & Revenue
  • Increase Customer Life Time Value
  • Launch New Products
  • Improve Visibility
  • Improve Digital And Social Presence
  • Shorten Ramp Up Time
  • Grow Market Share
  • Build Brand Awareness
  • Improve ROI
  • Improve Internal Communications
See all business priorities See less business priorities

Google BigQuery Use-Cases and Business Priorities: Customer Satisfaction Data

Google BigQuery works with different mediums / channels such as Display Advertisement. and Social Media.

Google BigQuery's features include Dashboard, Recording, Personalization, etc. and Google BigQuery support capabilities include AI Powered, 24/7 Support, Chat Support, etc. also Google BigQuery analytics capabilities include Analytics, and Custom Reports.

Reviews

"...The performance of BigQuery on ad hoc queries makes it a good source for business intelligence applications...." Peer review by Manager in Finance and Accounting

Peer review evidence (same sources as the product rating summary)

"...Google Cloud customers who deploy the Denodo data virtualization product can realize the following benefits: Easy access to a wide breadth of data: Connect, combine, and consume data from a variety of data sources including Google BigQuery, Google Cloud Storage, and other Google Cloud data sources, to provide a more data-driven approach to advanced real-time analytics, artificial intelligence, and machine learning to help make better business decisions...." Denodo Data Virtualization Platform Now Available on the Google Cloud Platform Marketplace - Database Trends and Applications
"...You can also make use of the various available templates that pull in data from the Search Console, Google Analytics, Google Sheets, Google Ads, or Google BigQuery. ..." The Starter s Guide to Using Google Data Studio
"...Foundation for BI BigQuery forms the data warehousing backbone for modern BI solutions and enables seamless data integration, transformation, analysis, visualization, and reporting with tools from Google and our technology partners...." BigQuery: Cloud Data Warehouse

Google BigQuery, TWIPLA, Klipfolio, Buildfire, Unity Platform, etc., all belong to a category of solutions that help Digital Analytics. Each of them excels in different abilities. Therefore, determining the best platform for your business will depend on your specific needs and requirements.

Popular Business Setting

for Google BigQuery

Top Industries

  • Computer Software
  • Internet
  • Information Technology and Services

Popular in

  • Large Enterprise
  • Small Business
  • Enterprise

Google BigQuery is popular in Computer Software, Internet, and Information Technology And Services and is widely used by Large Enterprise, Small Business, and Enterprise.

Google BigQuery Customer wins, Customer success stories, Case studies

How can Google BigQuery enhance your Lead Analytics process?

What solutions does Google BigQuery provide for Funnel Analysis?

How efficiently Does Google BigQuery manage your Social Media Analytics?

Why is Google BigQuery the best choice for Competitive Intelligence?

11 buyers and buying teams have used Cuspera to assess how well Google BigQuery solved their Digital Analytics needs. Cuspera uses 2533 insights from these buyers along with peer reviews, customer case studies, testimonials, expert blogs and vendor provided installation data to help you assess the fit for your specific Digital Analytics needs.

 

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Globo - Media Production - Very Large

Rio de Janeiro, Brazil

Globo used Google Cloud to modernize its media production. Cloud migration enabled Globo to run complex projects at lower costs and decentralize operations. The company hosted over 50 live events in ...2021 using cloud-based Live Production. Automation with Vision AI and Video AI streamlined metadata extraction and reduced manual work. Security and scalability improved, letting Globo handle more productions with fewer resources.

Read more →
 

Carousell - Retail - Medium

Singapore, Singapore

Carousell used Google Cloud's Gemini and Vertex AI to boost seller listings by 20%. The new AI-driven "List with AI" feature cut median listing time to under two minutes. Migrating to C3D Compute Eng...ine eliminated on-call workload for compute clusters and reduced costs by 10%. Carousell automated 90% of translation needs with Gemini API, removing subscription costs. AI-powered tools also streamlined HR queries, freeing staff for higher-value work.

Read more →
 

Cronos Labs - Information Technology And Services - Small

Hong Kong, Hong Kong

Cronos Labs migrated its blockchain infrastructure to Google Cloud. This cut instance creation time from eight hours to two. The team now scales resources up or down to save costs and meet user deman...d. Google Cloud's unified tech stack improved the developer experience. Using BigQuery, Cronos Labs analyzes both on-chain and off-chain data for better user insights. The move supports a more secure and innovative decentralized application environment.

Read more →

Frequently Asked Questions (FAQ)

What buyers ask before choosing Google BigQuery

What is Google BigQuery used for?

Google BigQuery is a Digital Analytics Software mainly used by its customers to Acquire Customers and Scale Best Practices by Lead Analytics, Advertisement and Funnel Analysis .

What are the top features of Google BigQuery?

Dashboard, Recording and Personalization are some of the top features of Google BigQuery.

Who uses Google BigQuery?

Google BigQuery is used by Computer Software, Internet and Information Technology And Services among other industries.

What are Google BigQuery alternatives?

TWIPLA, Klipfolio, Buildfire and Unity Platform are popular alternatives for Google BigQuery.

Where is Google BigQuery located?

Google BigQuery is headquartered at 1600 Amphitheatre Parkway, Mountain View, CA 94043, US.
lightning

Peers used Google BigQuery for lead analytics and advertisement

Google BigQuery Competitors

Google BigQuery Features

  • Low
  • Medium
  • High
FEATURE RATINGS AND REVIEWS
AI Powered

4.83/5 ★

Read Reviews (118)
Analytics

4.69/5 ★

Read Reviews (558)
Custom Reports

4.12/5 ★

Read Reviews (619)
CAPABILITIES RATINGS AND REVIEWS
AI Powered

4.83/5 ★

Read Reviews (118)
Analytics

4.69/5 ★

Read Reviews (558)
Custom Reports

4.12/5 ★

Read Reviews (619)

Google BigQuery Integrations

Google BigQuery integrates with a wide range of software applications through its robust data import and export capabilities.

Data Import

3.99/5 ★

Read Reviews (288)
Data Export

3.79/5 ★

Read Reviews (177)

Few API Integrations for Google BigQuery

UserVoice

4.3 5
 ★ ★ ★ ★ ★  ☆ ☆ ☆ ☆ ☆

Zoho Projects

4.31 5
 ★ ★ ★ ★ ★  ☆ ☆ ☆ ☆ ☆

Qualaroo

4.13 5
 ★ ★ ★ ★ ★  ☆ ☆ ☆ ☆ ☆

Datadog

4.36 5
 ★ ★ ★ ★ ★  ☆ ☆ ☆ ☆ ☆

Wistia

4.67 5
 ★ ★ ★ ★ ★  ☆ ☆ ☆ ☆ ☆

Software Failure Risk Guidance

?

for Google BigQuery

Overall Risk Meter

Low Medium High

Top Failure Risks for Google BigQuery

Google LLC News

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Google LLC Profile

Company Name

Google LLC

Company Website

https://about.google/

HQ Location

1600 Amphitheatre Parkway, Mountain View, CA 94043, US

Employees

10,001+

Social

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Financials

SERIES A