Intelligent Data as a Service
Transform natural language into production-ready SQL and automate BigQuery pipelines.
Publisher
Tiger Analytics
Product Details
This multi-agent framework turns natural language queries into optimized, production-ready SQL for BigQuery. It acts as an intelligent co-pilot that validates, manages, and operationalizes code through an integrated enterprise workflow.
It closes the gap between business intent and technical execution by removing the complexity of manual pipeline development. Data engineers, analysts, and business users can move from request to working code faster, with delivery times cut from days to minutes and accuracy improved through automated code validation. It works across industries and connects with Google BigQuery, Vertex AI Search, Firestore, and GitLab or GitHub.
Key Use Cases
Conversational BigQuery Pipeline Synthesis
Transforms natural language requirements into production-grade, optimized SQL models integrated directly with Google BigQuery execution engines.
Automated Data Engineering CI/CD Governance
Validates SQL performance, checks security constraints, and pushes operationalized data transformations into enterprise GitHub/GitLab repositories.
Explore detailed deployment path
Requires Gemini. Access integration prerequisites, specialized agent configuration guides, and implementation documentation.