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 Cloud’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 Cloud BigQuery and alternative big data solutions, reports that BigQuery enables organizations to:
- Save up to 27 percent on data warehousing over a three-year period
- Achieve a faster time to value by getting up and running quickly
- Eliminate upfront investment and deployment size planning
- Reduce migration costs with free automated tools
- Eliminate maintenance tasks so teams can spend more time gaining insights