Datafold Achieves Google Cloud Ready - BigQuery Designation

Datafold has officially achieved the Google Cloud Ready - BigQuery Designation, marking an important milestone in our mission to help data teams modernize their data stacks with speed and confidence.

Why it’s important

The Google Cloud Ready - BigQuery Designation isn't just a badge – it represents a rigorous validation process where Google Cloud's engineering teams verify that our integration with BigQuery meets their high standards. 

This three-phase validation process includes extensive data integration testing, benchmarking, and collaborative refinement to ensure Datafold works seamlessly with BigQuery. For our customers, this designation provides confidence that Datafold's tools will work effectively with their BigQuery environments.

Why BigQuery matters to our customers

We've seen a growing number of organizations choosing BigQuery as their primary data warehouse when modernizing their data infrastructure. Its serverless architecture, separation of storage and compute, and powerful analytics capabilities make it an excellent destination for teams looking to upgrade from legacy systems.

This trend is precisely why we've been investing in deepening our partnership with Google Cloud. As more data teams undertake the journey of migrating to BigQuery, they need tools that can make this process faster, more reliable, and less resource-intensive.

How Datafold enhances BigQuery migrations

For teams migrating to BigQuery, our Datafold Migration Agent (DMA) now offers enhanced capabilities specifically optimized for BigQuery environments:

1. Automated SQL Translation: Our AI-powered DMA can translate legacy SQL code from various sources (Oracle, Teradata, SQL Server, and more) into BigQuery-compatible SQL, handling even the most complex stored procedures and dialect differences.

2. End-to-End Validation: With our proprietary data diffing technology, we automatically verify that both inputs and outputs match exactly between your legacy system and BigQuery, providing value-level comparisons at scale.

3. Continuous Refinement: If DMA identifies any discrepancies, it automatically fine-tunes the SQL translation until perfect parity is achieved, ensuring your data remains accurate throughout the migration.

4. Evidence-Based Migration Readiness: DMA provides comprehensive validation reports and data diffs that serve as concrete evidence of migration readiness, helping earn stakeholder trust and sign-off.

The future of data migrations to BigQuery

Achieving the Google Cloud Ready - BigQuery Designation opens new opportunities for Datafold to collaborate with Google Cloud's engineering teams. We're excited to develop roadmaps that will further enhance the migration experience for BigQuery users.

In a world where data modernization has never been more critical, this collaboration allows us to offer BigQuery users the same powerful, AI-driven migration experience that has helped organizations cut migration timelines by up to 6x while ensuring perfect data integrity.

For teams considering or already undertaking a migration to BigQuery, this designation means you can trust that Datafold's solutions have been rigorously tested and validated for your environment. No more spending months on manual code translation or worrying about data discrepancies – with Datafold, you can modernize with confidence.

What's next?

As part of the Google Cloud Ready program, we'll continue working closely with Google Cloud's partner engineering and BigQuery teams to enhance our integration and develop new capabilities that streamline the migration process.

If you're curious about how Datafold can accelerate your migration to BigQuery, or if you're already a BigQuery user looking to modernize from legacy systems, let’s chat. We'd be happy to show you how our AI-powered migration tools can transform your migration experience.