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.
Business Priorities
Acquire Customers and Scale Best Practices are the most popular business priorities that customers and associates have achieved using Google BigQuery.
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
"...Combined with Google Data Studio, it could provide Business/Marketing intelligence platform for your business...." Peer review by Sayed Hassan N, Data Scientist - Industry Research Intern, Media Production
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?
How efficiently Does Google BigQuery manage your Advertisement?
How does Google BigQuery facilitate Funnel Analysis?
How does Google BigQuery address your Competitive Intelligence Challenges?
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.
NightCafe Studio Leverages Google Cloud to Power AI Art Creation for 25 Million Users with a Four - Person Team
Read more →Vidio - Entertainment
Read more →SOMIN - Information Technology And Services
Read more →Shieldbase AI - Information Technology And Services
Read more →Frequently Asked Questions(FAQ)
for Google BigQuery
What is Google BigQuery used for?
What are the top features of Google BigQuery?
Who uses Google BigQuery?
What are Google BigQuery alternatives?
Where is Google BigQuery located?
Peers used Google BigQuery for lead analytics and advertisement
Google BigQuery Competitors
Google BigQuery Features
- Low
- Medium
- High
| FEATURE | RATINGS AND REVIEWS |
|---|---|
| AI Powered | Read Reviews (118) |
| Analytics | Read Reviews (558) |
| Custom Reports | Read Reviews (619) |
| CAPABILITIES | RATINGS AND REVIEWS |
|---|---|
| AI Powered | Read Reviews (118) |
| Analytics | Read Reviews (558) |
| Custom Reports | Read Reviews (619) |
Google BigQuery Integrations
Google BigQuery integrates with a wide range of software applications through its robust data import and export capabilities.
Few API Integrations for Google BigQuery
Software Failure Risk Guidance
?for Google BigQuery
Overall Risk Meter
Top Failure Risks for Google BigQuery
Google LLC News
AccelGoogle tie-up to fund AI startups
Google and Accel have partnered to launch the Atoms AI Cohort 2026, aimed at supporting early-stage Indian AI startups. The program offers up to $2 million in co-investment, $350,000 in Google Cloud, Gemini, and DeepMind credits, and technical support from Google DeepMind. This initiative seeks to foster AI innovation in India and provide global exposure for startups.
Alphabet Stocks Hits New Highs As Meta Mulls Deploying Google AI Chips In Data Centers
Google is in discussions with Meta Platforms to potentially supply its AI chips for Meta's data centers, intensifying competition with NVIDIA in the AI chip market. Google's tensor processing units (TPUs) are designed to enhance AI workload performance and cost efficiency. This development has contributed to Alphabet's stock reaching new highs, reflecting its strategic push in AI technology.
Google Cloud and Westinghouse detail AI system for nuclear power plant construction
Google Cloud and Westinghouse have collaborated to develop an AI system aimed at enhancing nuclear power plant construction. This system leverages Google's cloud capabilities to improve efficiency and safety in the construction process.
LSEG Integrates Tick History Data With Google Clouds Vertex AI
LSEG has integrated its historical tick data with Google Cloud's Vertex AI and BigQuery, enabling financial institutions to leverage AI and machine learning for advanced market analysis. This collaboration reduces infrastructure complexity and costs, allowing firms to perform rapid, large-scale data processing and analysis. The integration democratizes access to sophisticated analytics, particularly benefiting mid-sized and emerging financial institutions.
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
Financials
SERIES A
What benefits does Google BigQuery offer for Social Media Analytics?