Companies that use Google BigQuery
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.
18,353
companies
List of companies using Google BigQuery
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--header "Accept: application/json" \
--header "Content-Type: application/json" \
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-d "{
\"company_technology_slug_or\": [
\"google-bigquery\"
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is any of
Google BigQuery
Employees3.2kRevenue$440MIT Services and IT ConsultingGoogle BigQueryHigh confidence
Employees491kRevenue$157BRetailGoogle BigQueryHigh confidence
Employees14kRevenue$12BRetailGoogle BigQueryHigh confidence
Employees24kRevenue$6.2BComputer and Network SecurityGoogle BigQueryHigh confidence
Employees738kRevenue$63BBusiness Consulting and ServicesGoogle BigQueryHigh confidence
Employees186kRevenue$170BMotor Vehicle ManufacturingGoogle BigQueryHigh confidence
Employees96Advertising ServicesGoogle BigQueryHigh confidence
Employees85kRevenue$29BFinancial ServicesGoogle BigQueryHigh confidence
Employees199kFinancial ServicesGoogle BigQueryHigh confidence
Employees19kRevenue$5.1BFinancial ServicesGoogle BigQueryHigh confidence
We have data on 18,353 companies and users that use Google BigQuery. Our Google BigQuery users and 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.
Technology Usage Statistics and Market Share
How to target Google BigQuery users
- How to customize this list?
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.
- How to be alerted when companies adopt this technology?
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.
- How to import this data to my CRM?
You can export this data to an Excel file, which can be imported into your CRM. You can also export the data to an API.
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.