# Dbgorilla

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/dbgorilla
- **Dataset:** https://optimly.ai/brand/dbgorilla.json
- **Markdown:** https://optimly.ai/brand/dbgorilla/llms.txt
- **Official website:** https://dbgorilla.com
- **Slug:** dbgorilla
- **Categories:** developer-tools, it-management-software

## Overview

- **Tagline:** DBGorilla tests every recommended fix, index, and migration on a production-shaped clone before it's recommended, providing measured evidence instead of predictions. It operates as a SaaS collector (credentials stay in your network) or can be fully self-managed/air-gapped, ensuring data security and compliance. Its AI-DBA chat provides context-aware answers specific to the user's database schema and workload.
Source: Brand's website (https://dbgorilla.com) · 2026-10-04

- **Description:** DBGorilla watches every query, catches database performance regressions and cost leaks, then tests the fix on an isolated clone, providing proof before changes are applied in production. It offers query optimization, regression detection, pre-production fix validation, schema visualization, and an AI-DBA chat.
Source: Brand's website (https://dbgorilla.com) · 2026-10-04

## Offerings

- **Core capabilities:**
  - Automated database performance monitoring
  - AI-powered query optimization
  - proactive regression detection
  - pre-production fix validation on isolated clones
  - schema visualization and health tracking
  - AI-DBA chat
  - IDE and team channel integrations.
Source: Brand's website (https://dbgorilla.com) · 2026-10-04

- **Pricing:** Freemium model. Free to start (no card required) then $105/month for three clusters and an entire team with no per-seat fees. Also offers fully self-managed and air-gapped deployment options.
Source: Brand's website (https://dbgorilla.com) · 2026-10-04

## Audience

- **Target industry:** Engineering teams, CTOs, Senior Consultants, and Founders in organizations running Postgres databases who need to optimize performance, prevent incidents, and manage database health. Examples include no-code application platforms, real estate data platforms, and large financial companies.
Source: Brand's website (https://dbgorilla.com) · 2026-10-04

Page last updated 2026-10-17.