BigQuery support
We're expanding Waii's enterprise-grade AI capabilities to Google Cloud Platform with comprehensive BigQuery integration. This release brings our industry-leading accuracy in natural language to SQL translation to teams using the Google Cloud stack.
The BigQuery integration introduces a purpose-built compiler and optimizer that ensures both correctness and performance. This means your teams get:
- Precise query generation that respects BigQuery's specific syntax and capabilities, maintaining our >95% accuracy rate while leveraging BigQuery-specific optimizations. For example, queries automatically utilize BigQuery's partitioning and clustering features when available.
- Enterprise-ready security controls including row-level and column-level security that integrate seamlessly with your existing IAM policies. The compiler enforces these boundaries at query generation time, ensuring consistent security across all AI-generated queries.
- Built-in query cost management that prevents runaway costs through intelligent query rewriting and cost estimation. The optimizer analyzes potential query paths and selects approaches that balance performance and resource usage.
For GCP-native organizations, we've deepened the integration across the ecosystem:
- Native support for deploying Waii within your GCP environment, including the ability to use your own fine-tuned models
- Direct integration with Looker, allowing teams to enhance their existing BI workflows with AI capabilities
- Automatic synchronization with Data Catalog, ensuring AI-generated queries always reference up-to-date schema and metadata
The BigQuery integration maintains Waii's philosophy of enhancing rather than replacing your existing infrastructure. Teams can progressively add AI capabilities to their data stack while preserving their current workflows and tools.
Try it today by updating to version 1.26. For deployment guides and integration examples, visit our documentation.