Precog Achieves Google Cloud Ready – BigQuery Designation
By Jeff Carr
April 18, 2024

Today we’re excited to announce that we have successfully achieved Google Cloud Ready – BigQuery Designation.

Google Cloud Ready – BigQuery is a partner integration validation program that intends to increase customer confidence in partner integrations into BigQuery. As part of this initiative, Google engineering teams validate partner integrations into BigQuery in a three-phase process – Run a series of data integration tests and compare results against benchmarks, work closely with partners to fill any gaps, and refine documentation for our mutual customers.

By earning this designation, Precog has proven its platform has met a core set of functional and interoperability requirements when integrating with BigQuery. This designation enables customers to discover and have confidence that the Precog products they use today work well with BigQuery or save time on evaluating them, if not already using.

Being part of the program, Precog gets more opportunities to collaborate closely with Google partner engineering and BigQuery teams to develop joint roadmaps.

“Google Big Query is an important part of our customers’ data strategy,” said Jeff Carr, Precog’s CEO. “Enterprises of all sizes rely on BigQuery to store mission-critical data for analytics, machine learning, and AI use cases. Compared to other Cloud Data Warehouse offerings, BigQuery provides a superior user experience and is tightly integrated with Vertex AI and Looker Studio, both key features for our users.

Precog’s AI-powered ELT allows our joint customers to ingest all their SaaS API source data into Google BigQuery and future proofs their ingestion strategy since adding new sources in Precog takes minutes, not months. Together, Precog and Google BigQuery provide a comprehensive data platform that enables our users’ data strategy to thrive.”

NEWS & BLOG

ETL vs ELT

ETL vs ELT

While ETL allowed customers to maximize limited database performance by filtering data, the marked improvements in the data warehousing space led to a new approach to data integration, ELT.

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