Dataiku, the platform for Everyday AI, today announced that it has achieved the Google Cloud Ready designation for BigQuery. By earning this designation, Dataiku has proven its AI and analytics platform has met a core set of functional and interoperability requirements when integrating with BigQuery.
These designations will allow customers to easily use Dataiku alongside BigQuery, enabling significant time and cost savings. As a designated partner in the Google Cloud Ready program, Dataiku will also work closely with Google Cloud partner engineering to deepen integrations with BigQuery.
To earn “designation” in the Google Cloud Ready program, Google engineering teams validate partner integrations into BigQuery in a three-phase process. This includes running a series of data science tests and achieving strong results against benchmarks, working closely with partners to fill any gaps, and confirming documentation that improves deployments for mutual customers.
“We’ve been working with Google Cloud for years to help organizations speed deployment and scale cloud AI projects while maximizing productivity,” said Abhijit Madhugiri, VP of Global Technology Alliances at Dataiku. “This designation reinforces that Dataiku is making it easier for anyone — not just technical experts — to derive value from Everyday AI. It is an important validation that our approach is working, and should give customers confidence that governance, performance, and scalability are inherent to how we operate.”
“Companies are working with a range of partners and applications alongside BigQuery to create new value with their data as they digitally transform their business,” said Ritika Suri, Director, Technology Partnerships, Google Cloud. “The Google Cloud Ready – BigQuery designation indicates that Dataiku’s integrations with BigQuery help deliver excellent value and results for customers that are looking to drive data-driven decisions across their organization.”
To learn more about how to deploy Dataiku on Google Cloud, check out the recent 3 Steps to Deploy article.