AtScale Achieves Google Cloud Ready – BigQuery Designation

AtScale, the leading provider of semantic layer solutions for modern business intelligence and data science teams, announced at the annual Google Cloud Next 2023 event that it has successfully achieved Google Cloud Ready – BigQuery Designation.

Google Cloud Ready – BigQuery is a partner integration validation program that intends to increase the 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: (1) run a series of data integration tests; (2) compare results against benchmarks; (3) work closely with partners to fill any gaps and refine documentation for mutual customers.

“The Google Cloud Ready – BigQuery designation gives customers confidence that solutions have gone through a formal certification process and will deliver the best possible performance with BigQuery,” said Ritika Suri, Director of Technology Partnerships at Google Cloud. “With AtScale, customers can connect all of their data in BigQuery and build a single source of governed analytics to enable self-service business intelligence and data science experiences.”

AtScale helps Google Cloud customers build world-class business intelligence and data science programs while leveraging the full flexibility and capability of Google Cloud BigQuery. There are several key benefits of the partnership that can help make analysts and data scientists more productive, accelerating data programs while optimizing cloud costs and radically simplifying data pipelines.

These key benefits include:

• Semantic Layer – establish a single view of critical business metrics (e.g. revenue, COGs, headcount) and establish common analytics vocabulary across all analyst groups.
• OLAP Modernization – build highly scalable analytics solutions that deliver the advantages of OLAP while leveraging the scalability and elasticity of BigQuery
• No-Code Modeling – build sophisticated semantic models across disparate data sources with no SQL. Rapidly iterate models that can be shared across analysis teams.
• Optimize Cloud Analytics – optimize analytics programs built on cloud infrastructure. Ensure performance, manage costs, bridge multi-cloud data.
• Security and Governance – extend role-based security and governance policies of source data to analytics consumption.
• Bring your Own BI – access AtScale models from your existing tools including Tableau, Power BI, Excel, and Looker.
• AI/ML Ready – access governed data sets from semantic layer with python. Publish model results back to semantic layer for distribution in BI dashboards.
• Integrate New Data Sources – enhance analyses with external data sources by blending enterprise data with third-party cloud data services within the AtScale model.

By earning this designation, AtScale has proven its products have met a core set of functional and interoperability requirements when integrating with BigQuery. This designation enables customers to discover and have confidence that the AtScale products they use today work well with BigQuery, saving evaluation time.

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