Managing data volumes and speed on traditional platforms results in 60 – 80% higher upfront costs and 60% higher risk of failure

~ Gartner

Traditional data warehouses were not designed to handle today’s explosive growth in data.

They were also not made to run advanced analytics, or scale quickly and cost-effectively. This impacts the ability of organisations to unlock valuable insights across all areas of the value chain.  As a result, customers are facing increased management costs and restricted agility in managing their data.

Take your data warehouse to the next level with Google Cloud

Cloud data warehouse to power your data-driven innovation

BigQuery is Google Cloud’s highly scalable, enterprise data warehouse solution.

  • 1

    Real-time insights from streaming data and built-in ML

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    High-speed in memory BI engine for faster analysis

  • 3

    Unlock insights at any scale with BigQuery’s support of real-time, predictive analytics

  • 4

    Query data in real-time, immediately know what’s happening across the business

  • 5

    Use ML to predict business outcomes easily

BigQuery’s serverless architecture lets you use SQL queries to analyse your data. You can store and analyse your data within BigQuery or use BigQuery to assess your data where it lives. To test how it works for yourself, query data—without a credit card—using the BigQuery sandbox.

Explore key resources

Lower your TCO up to 52% by migrating to BigQuery

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Data warehouse challenges and how to meet them

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Five reasons your legacy data warehouse wont cut it

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