Learn PARTIQL with Real Code Examples
Updated Nov 18, 2025
Monetization
AWS NoSQL engineering roles
Serverless architecture consulting
Data engineering for JSON data lakes
Cloud database optimization services
Future Roadmap
More backend support beyond AWS
Advanced analytics extensions
Cross-database federated queries
Improved open-source engine
When Not To Use
Heavy relational joins
Complex analytics workloads
OLAP warehouses
Low-level DynamoDB performance tuning
Final Summary
PartiQL extends SQL to work natively with nested and NoSQL data.
Perfect for DynamoDB, serverless apps, JSON data lakes, and flexible schemas.
Reduces ETL and simplifies querying across mixed data models.
Open-source, cloud-ready, and highly developer-friendly.
Faq
Is PartiQL SQL?
It is SQL-compatible with support for nested data.
Does PartiQL support joins?
Yes, but with limitations depending on backend.
Can I use PartiQL without AWS?
Yes - it is open-source.
Why use PartiQL?
To query nested/NoSQL data with familiar SQL syntax.