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Home / Our blog / Google Multi-cloud analytics with BigQuery Omni at Next 2020

Whilst Google Cloud Next 2020 may be taking place virtually this year, that isn’t holding them back from making big announcements, especially when it comes to BigQuery.

Research has shown that over 80% of organisations are taking a multi-cloud approach [1]. This results in companies having their data scattered across different public clouds, making it harder to access these insights and slowing down the decision-making process.

However, with Google’s recent announcement during Google Cloud Next ’20: OnAir, you’ll be able to leverage the best analytics and data warehouse technology, regardless of where your data is stored. Powered by Google Cloud’s Anthos, BigQuery Omni allows developers to seamlessly connect and analyse data across Google Cloud and other public cloud providers without having to move or copy datasets.

All your business insights in one place

Understanding that moving data between cloud providers may not be possible or sustainable for businesses in the short-term - BigQuery Omni comes into play to make it easier and faster for decision-makers to access the data they need.

Thanks to BigQuery’s separation between storage and computing, you can query your data right where it is. This saves businesses cost in the long run, avoiding any egress cost that may result from having to copy or move your data to a different public cloud. While they can still take advantage of the same BigQuery interface we all know and enjoy.

Get more from your data

What does this mean for data-driven businesses then? It means breaking down data silos and gaining access to the right data easily and cost-effectively, thanks to the power of BigQuery.

It also means being able to enjoy a more consistent analytics experience, regardless of where your data is stored. Using standard SQL and BigQuery’s familiar interface, BigQuery Omni connects the cloud together so users can query data, utilise tools such as Looker to build dashboards and share results, all from a single interface.

Finally, it means being able to run analytics without having to worry about the underlying infrastructure. With compute resources running in the same cloud region your data is stored, you get a completely seamless data analysis experience.

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