TDAA!

Pancake your data™ - Flatten, normalize, enrich, and secure complex JSON/XML with zero technical debt—directly inside Snowflake. Plus, build Cortex AI-enhanced data dictionaries and semantic models for Cortex Analyst. All in record time.

"We looked everywhere. H. Robinson Why DataPancake?

DataPancake is the only Snowflake Native App designed to take you from raw, complex and deeply nested semi-structured data to fully secure, documented, and GenAI-ready relational Dynamic Tables and Secure Views with schema drift detection that produces accurate pipelines with zero technical debt. Our patented schema discovery and code generation process is deterministic and not generated by an LLM which means you get 100% data availability and accuracy. Features Schema inference and metadata generation through recursive scan of an entire source variant column (JSON, Avro, XML) or Iceberg string column (JSON Only) Metadata configuration including schema shaping, column level transformations and security policy integration Flattening and normalization through accurate code-generated "Create Dynamic Table" SQL DDL (with data type accuracy) and "Create View" SQL DDL Statements Schema drift detection with continual data scanning and code regeneration Data dictionary/synonym/sample value builder with Cortex AI Integration Cortex Analyst semantic model generator ROI Highlights Significant Reduction of Data Engineering Time Increased App/Doc DB Troubleshooting Capability Improved Data Quality, Availability, and Security Reduction of Data Integration Tool Use Faster Time To Value GenAI Enablement with Cortex Analyst Who is it for?

DataPancake is for data teams responsible for transforming complex, deeply nested semi-structured data into trusted, governed, analytics-ready datasets. Our patent-pending schema discovery and shaping engine ensures the business always gets accurate data—no matter the complexity. Pricing Based on Schema Complexity Pricing is not based on the amount of data or number of rows.

Contact our sales group for pricing or to initiate a DataPancake test drive.