Semantic SQL FAQs

Question 1

How does Semantic SQL ensure SQL query safety?

Accepted Answer

Utilizing AST-based SQL validation, Semantic SQL prevents DDL (Data Definition Language), DML (Data Manipulation Language), and unsafe function calls. It strictly allows only SELECT statements and CTEs, safeguarding your PostgreSQL database from unintended modifications.

Question 2

What is semantic column mapping and why is it important?

Accepted Answer

Semantic column mapping solves the problem of inconsistent column names across tables by maintaining a central concept registry. It allows automatic JOIN path discovery, enabling tools to query across diverse data sources without hardcoding schema-specific mappings.

Question 3

How does Semantic SQL enhance data access control?

Accepted Answer

It implements robust Role-Based Access Control (RBAC) with API key authentication and team-scoped table access. Additionally, it leverages PostgreSQL Row-Level Security (RLS) to enforce granular, context-aware data visibility down to individual rows.

Question 4

What is Semantic SQL?

Accepted Answer

Semantic SQL is a three-microservice system designed to provide enterprise-grade SQL access control, semantic column mapping, and query safety for PostgreSQL data warehouses, improving data governance and usability.

Question 5

Does Semantic SQL offer auditing and performance features?

Accepted Answer

Yes, it includes a query caching mechanism (RLS context-aware) for performance optimization and comprehensive audit logging. Every query is stamped with user, team, row count, and duration for full transparency and compliance.

Semantic SQL

Semantic SQL

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主な機能

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