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Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.
7,921
companies
Technoloy Usage Stadistics and Market Share
You can customize this data to your needs by filtering for geography, industry, company size, revenue, technology usage, job postions and more. You can download the data in Excel or CSV format.
You can get alerts for this data. You can get started by selecting the technology you are interested in and then you will receive alerts in your inbox when there are new companies using that technology.
You can export his data to an Excel file, which can be imported into your CRM. You can also export the data to an API.
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Google BigQuery is used in 80 countries
Technology
is any of
Google BigQuery
Company | Country | Industry | Employees | Revenue | Technologies |
---|---|---|---|---|---|
Canada | It Services And It Consulting | 2.1K | $440M | Google BigQuery | |
United States | Retail | 14K | $12B | Google BigQuery | |
Business Consulting And Services | 51 |
| Google BigQuery | ||
Sweden | Musicians | 15K | $14B | Google BigQuery | |
United States | Retail | 491K | $157B | Google BigQuery | |
United States | Computer And Network Security | 17K | $6.2B | Google BigQuery | |
United Kingdom | It Services And It Consulting | 10K | $3B | Google BigQuery | |
United States | Professional Services | 420 | $6.9M | Google BigQuery | |
| Google BigQuery | ||||
United States | Motor Vehicle Manufacturing | 135K | $170B | Google BigQuery |
We have data on 7,921 companies that use Google BigQuery. Our Google BigQuery customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Frequently asked questions
Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.
We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.
Google BigQuery is a renowned cloud-based data warehouse provided by Google Cloud Platform, allowing users to analyze massive datasets quickly using SQL queries. By employing the power of Google's infrastructure, BigQuery can efficiently process petabytes of data without requiring upfront hardware investment. This serverless, highly scalable solution enables businesses to derive valuable insights from their data in real-time, facilitating data-driven decision-making.
BigQuery falls under the category of Big Data as a Service, offering a cloud-based model for handling and analyzing large volumes of data efficiently. It eliminates the need for on-premises infrastructure to manage and process extensive datasets, making it a cost-effective and flexible solution for enterprises seeking to harness the power of big data analytics. BigQuery's ease of use, scalability, and integration capabilities with other Google Cloud services position it as a leading choice for businesses aiming to leverage big data effectively.
Google BigQuery was founded in 2010 by Google as a response to the growing demand for scalable data processing and analytics solutions. The motivation behind creating BigQuery was to provide businesses with a fast and cost-effective way to analyze vast amounts of data stored in the cloud. Over the years, Google has continuously enhanced BigQuery by adding new features and integrations, solidifying its position as a top-tier data warehouse solution in the market.
In the current market scenario, Google BigQuery holds a significant market share within the Big Data as a Service category. With the increasing adoption of cloud-based data analytics solutions, BigQuery is poised for further growth in the future. As businesses continue to prioritize data-driven decision-making and the demand for scalable data processing platforms rises, Google BigQuery is likely to maintain its market dominance and expand its user base across various industries.
You can access an updated list of companies using Google BigQuery by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.
As of now, we have data on 7,921 companies that use Google BigQuery.
Google BigQuery is used by a diverse range of organizations across various industries, including "It Services And It Consulting", "Retail", "Business Consulting And Services", "Musicians", "Retail", "Computer And Network Security", "It Services And It Consulting", "Professional Services", "Motor Vehicle Manufacturing". For a comprehensive list of all industries utilizing Google BigQuery, please visit TheirStack.com.
Some of the companies that use Google BigQuery include Geotab, Wayfair, Deep Media Technologies, Spotify, The Home Depot, Palo Alto Networks, Ocado Group, Myers-Holum, Netcentric, Ford Motor Company and many more. You can find a complete list of 7,921 companies that use Google BigQuery on TheirStack.com.
Based on our data, Google BigQuery is most popular in United States (2,416 companies), United Kingdom (605 companies), France (257 companies), Germany (234 companies), Canada (201 companies), Spain (175 companies), India (161 companies), Netherlands (129 companies), Brazil (109 companies), Australia (99 companies). However, it is used by companies all over the world.
You can find companies using Google BigQuery by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.