Economic Impact of Bigquery

Economic Impact of Bigquery

Published by: Research Desk Released: Feb 20, 2019

Traditional big data solutions require a significant upfront investment, ongoing maintenance of hardware and software, and manual provisioning to match compute and storage resources with demand. Google’s serverless analytics warehouse does away with all that extra work, helping businesses focus on what matters most: getting value from their data.

Enterprise Strategy Group (ESG), which examined the economic value propositions of Google BigQuery and alternative big data solutions, reports that BigQuery enables organizations to:

  • Save up to 88 percent on data warehousing over a three-year period
  • Achieve a faster time to value by getting up and running quickly
  • Empower more employees to become citizen data scientists
  • Eliminate maintenance tasks so teams can spend more time gaining insights

Download the complete report to learn more.