Databricks and Google Cloud Announces New Partnership

Databricks and Google Cloud today declared another association that will bring to Databricks clients a profound combination with Google's BigQuery stage and Google Kubernetes Engine. This will permit Databricks' clients to bring their data lakes and the service’s analytics capabilities to Google Cloud.

Databricks as of now include profound incorporation with Microsoft Azure — one that works out in a good way past this new organization with Google Cloud — and the organization is likewise an AWS accomplice. By adding Google Cloud to this rundown, the organization would now be able to profess to be the "solitary brought together information stage accessible across every one of the three clouds (Google, AWS and Azure)."

It’s worth stressing, though, that Databricks’ Azure integration is a bit of a different deal from this new partnership with Google Cloud. “Azure Databricks is a first-party Microsoft Azure service that is sold and supported directly by Microsoft. The first-party service is unique to our Microsoft partnership. Customers on Google Cloud will purchase directly from Databricks through the Google Cloud Marketplace,” a company spokesperson told me. That makes it a bit more of a run-of-the-mill partnership compared to the Microsoft deal, but that doesn’t mean the two companies aren’t just as excited about it.

“We’re delighted to deliver Databricks’ lakehouse for AI and ML-driven analytics on Google Cloud,��� said Google Cloud CEO Thomas Kurian (or, more likely, one of the company’s many PR specialists who likely wrote and re-wrote this for him a few times before it got approved). “By combining Databricks’ capabilities in data engineering and analytics with Google Cloud’s global, secure network—and our expertise in analytics and delivering containerized applications—we can help companies transform their businesses through the power of data.”

About Databricks
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.