Exploring an instant secure API layer on DuckDB

DuckDB is an open-source, embedded database management system optimized for data analytics and online analytical processing (OLAP). It supports standard SQL queries, aggregations, joins, and other SQL functions on imported data from JSON, Parquet, and CSV files. DuckDB's columnar structure and vectorized data processing make it efficient in handling OLAP workloads. DuckDB is gaining popularity among data scientists and analysts due to its ease of setup and usage, as well as cost savings by running locally. It can mash up data from different sources like CSV, Parquet, and PostgreSQL, making it suitable for various use cases. However, when it comes to team collaboration on large datasets or building real-world dashboards, an API layer becomes necessary. A data API platform like Hasura can bridge the gap by providing built-in declarative authorization, role-based access control (RBAC) rules, and support for various data sources. Additionally, it enables running DuckDB workloads on edge environments like Vercel Edge Functions and Cloudflare Workers with TypeScript. In conclusion, DuckDB's integration with a data API platform like Hasura can provide an efficient solution for OLAP queries, data mashup workloads, and real-world dashboard use cases while addressing authentication, authorization, and other production-ready concerns.