Core Primitives
The fundamental building blocks of the platform.Data Planes
Where your data lives and is processed
Control Plane
How Narrative orchestrates data collaboration
Execution Context
How data plane, compute pool, database, and schema determine where operations run
Compute Pools
How compute resources are allocated for query execution
Rosetta Stone
Narrative’s approach to schema normalization and data mapping.Overview
What Rosetta Stone is and why it matters
How It Works
The mechanics of automatic schema mapping
Normalization Model
How data gets normalized across sources
NQL
The design and philosophy behind Narrative Query Language.Design Philosophy
Why NQL exists and how it differs from traditional approaches
SQL Comparison
How NQL relates to SQL and when to use each
Type System
How NQL handles data types and type safety
JOIN Performance
Why certain JOIN patterns cause performance problems
Materialized Views
Pre-computed query results for performance and caching
Incremental View Maintenance
How NQL optimizes materialized view refreshes
Architecture
How the platform is built and why.Query Processing
How queries are compiled, optimized, and executed
Data Flow
How data moves through the platform
Sample Data
How samples cross to the control plane
Security Model
How Narrative protects your data
Workflows
Automating multi-step data pipelines.Webhooks
Push-based notifications for job state changes.Model Inference
AI-powered operations within your data plane.Overview
How AI inference works within your infrastructure
Data Privacy
How inference keeps data secure in your data plane
Structured Output
How JSON Schema ensures predictable responses
Security
Enterprise security and access management.Single Sign-On (SSO)
How SSO works with Narrative and why it matters for enterprise security
API Key Permissions
How scoped permissions protect your resources and enforce least privilege