Google Cloud’s BigQuery Omni Now Available to Everyone
Google first unveiled BigQuery Omni, its Anthos-based multicloud data analytics solution, last summer. Today, at its annual Cloud Next event, the company announced that BigQuery Omni is generally available. What sets Omni apart from similar services is that it allows its users to use the standard BigQuery interface they are familiar with to query data that resides on other clouds, including Microsoft’s Azure and AWS. all without having to move copies of their data between these clouds.
âEveryone knows that a data silo is bad, but the reality is that right now we are building data silos, just in different clouds,â Gerrit Kazmaier, vice president, told me. and general manager of Google for databases, analysis and research. âThere is a new generation of data silos and we recognize that most businesses around the world live in a multi-cloud reality, and with BigQuery Omni, we are essentially giving them the ability to perform analysis through them – Cross-cloud analytics, which in my opinion is the pinnacle of simplicity as you don’t have to think about where I’m moving my data and all the duplication and redundancy that governs it. glass panel and this unique processing framework – it’s a feat of engineering that the team has essentially taken BigQuery and brought many parts of it to other clouds. ”
Image credits: Google
A number of Google Cloud customers are already making good use of these features. Kazmaier noted that Johnson & Johnson, for example, uses it to combine their data in Google Cloud with S3 data on AWS, while Electronic Arts uses it to combine advertising data with in-game purchases.
Speaking of data silos, Google also noted today that Dataplex, a tool that enables businesses to manage, monitor and govern their data across data lakes and warehouses, will also be available later this year. It is currently in preview.
Like so many other Google Cloud announcements today, these two services recognize that virtually all businesses now operate in a multi-cloud environment, and almost by default, that means a lot of valuable data is spread across systems. Using multiple systems to manage this data is cumbersome and error-prone, but most importantly, it is difficult (and often expensive) to combine all of this data into one system. Google’s approach here is to simply bring all of its own services to these different clouds and then manage them from GCP. This is the approach he took with Anthos to manage Kubernetes clusters and, unsurprisingly, it now also allows him to run some basic GCP services outside of his own cloud.