PG Analytics FAQs

Question 1

What is PG Analytics?

Accepted Answer

PG Analytics is a 'DBA-lite' toolkit that provides instant, read-only visibility into your PostgreSQL schema structure, data quality, relationships, and performance across multiple environments. It integrates with any MCP client like Claude Code or Cursor.

Question 2

Can I compare my PostgreSQL databases across different development stages?

Accepted Answer

Absolutely. PG Analytics supports configuring up to four environments (LOCAL, DEV, STG, PROD). You can easily use tools like `compare_envs` to quickly identify row count differences and other discrepancies across these environments.

Question 3

What specific insights can PG Analytics provide about my PostgreSQL databases?

Accepted Answer

It offers comprehensive schema discovery (table sizes, column details, empty tables), data exploration (recent rows, column stats), relationship mapping (foreign keys, constraints), performance insights (index usage, slow query candidates), and data quality monitoring (null reports, duplicate checks, table health).

Question 4

Is PG Analytics safe to use in production environments?

Accepted Answer

Yes, PG Analytics is designed to be entirely read-only, ensuring no data is ever modified. It includes robust security features such as identifier validation, row limits on queries, and statement timeouts to prevent any unintended impact.

PG Analytics

PG Analytics

Key Features

Use Cases

Key Features

Use Cases