DataPancake™ Docs
  • DataPancake™ Documentation
  • Overview
    • What is DataPancake™?
    • Understanding the Challenges of Semi-Structured Data
  • Getting Started
    • Quick Start Guides
      • Real Estate JSON Quick Start
      • FDA_UDI Data Quick Start
      • Internal Data Quick Start
      • Alerts
      • Page
    • Application Overview
      • Data Source Overview
      • Manage Data Source
      • Manage Scan Configuration
      • Scan Data Source
      • Data Source Attributes
      • Dynamic Table SQL
      • Manage Warehouse
  • How to Guides
    • How to Purchase & Install DataPancake
    • How to Manage Access to DataPancake
    • How to Grant DataPancake Account & Cortex AI Privileges
    • How to Add Warehouses to DataPancake
    • How to Create a Single DataPancake Data Source (Script Builder)
  • Topics
    • Warehouses
    • Data Sources
    • Scan Configurations
    • Attributes
    • Scan Processing
    • Views
    • Attribute Consolidation
    • Pricing
  • DEVELOPMENT
    • Release Notes
Powered by GitBook
On this page
  • DataPancake™ – Transforming Semi-Structured Data into Relational Data with Ease
  • Key Features & Benefits
  1. Overview

What is DataPancake™?

Last updated 3 months ago

DataPancake™ – Transforming Semi-Structured Data into Relational Data with Ease

DataPancake™ is a designed to seamlessly convert semi-structured hierarchical data into relational tables using a deep recursive scanning process. With user-defined configurations, DataPancake automatically generates SQL statements to extract and flatten data into Dynamic Tables, a process we call “Pancaking” your data.

With DataPancake™, you maintain full control over your data—everything stays within your Snowflake environment, ensuring security, privacy, and compliance.

Supported Data Formats

DataPancake supports the following semi-structured data formats:

• JSON

• XML

• Parquet

• Avro

• ORC

Key Features & Benefits

✅ Automated Pipelines – Build semi-structured data pipelines in minutes instead of months with minimal manual effort.

✅ Secure & Private – All data remains within your Snowflake environment, ensuring no external control planes or third-party access. ✅ Multi-Environment Support – Monitor and process data in your development, test, staging, and production environments.

✅ Marketplace Integration – Easily deploy DataPancake directly from the . and integrate it into your existing Snowflake instance.

Find DataPancake™ in the and start Pancaking your data with secure, automated, and scalable transformation. All data remains private within your Snowflake environment—no external control planes.

Snowflake Native App
Snowflake Marketplace
Snowflake Marketplace