FlAPI FAQs

Question 1

What is FlAPI and its primary function?

Accepted Answer

FlAPI is a powerful service that automatically generates read-only RESTful APIs for your datasets. It utilizes SQL templates and the performant DuckDB engine to expose data efficiently and cost-effectively, eliminating the need for manual API coding.

Question 2

How does FlAPI ensure high performance and cost efficiency?

Accepted Answer

FlAPI is built on DuckDB, leveraging its robust SQL engine and extension ecosystem. This architecture provides performant query execution across various data sources and offers cost-efficient data exposure, making it ideal for analytical workloads.

Question 3

Does FlAPI support integration with AI tools?

Accepted Answer

Yes, FlAPI features native support for the Model Context Protocol (MCP). This allows you to declaratively define AI tools alongside your REST endpoints using a unified configuration, sharing SQL templates, parameters, and security features for seamless AI integration.

Question 4

What data sources can FlAPI connect to?

Accepted Answer

FlAPI offers extensive connectivity to multiple data sources, including BigQuery, SAP ERP & BW, Parquet, Iceberg, Postgres, and MySQL. Its DuckDB foundation ensures broad compatibility and easy integration with your existing data landscape.

Question 5

How does FlAPI handle security and data freshness?

Accepted Answer

FlAPI enables easy implementation of row-level and column-level security to protect your data. For freshness and performance, it includes DuckLake-backed caching with options for full refresh and incremental synchronization, ensuring your APIs always deliver up-to-date data efficiently.

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