PawSQL Reviews & Ratings

PawSQL

5.0 out of 5 stars

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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Ratings and Reviews 1 Rating

Total 5 out of 5 stars
ease 5 out of 5 stars
features 5 out of 5 stars
design 4 out of 5 stars
support 3 out of 5 stars

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What is pganalyze?

pganalyze is a Postgres performance optimization product for engineering teams. It captures query performance, wait events, and other critical data, finds the root cause of slow queries, bad indexes, and table bloat in minutes, and lets you investigate safely with AI tools such as Claude Code through the pganalyze MCP Server. More than 700 teams, including Notion, Auto Trader UK, and Fivetran, use pganalyze. With pganalyze, teams: ✓ Find and fix slow queries before customers notice ✓ Ship index and plan changes with confidence ✓ Keep autovacuum running smoothly ✓ Spend on tuning, not bigger instances ✓ Make every engineer and AI agent a Postgres expert ✓ Meet security and compliance standards The Index Advisor, Query Advisor, and VACUUM Advisor recommend indexes, query rewrites, and autovacuum settings, and pganalyze Workbooks let you test and validate a fix before you ship. The pganalyze collector filters PII on your own infrastructure before anything leaves, and sign-in supports SAML SSO. pganalyze works with Amazon RDS and Aurora, Google Cloud SQL and AlloyDB, Azure Database for PostgreSQL, Heroku, Crunchy Bridge, Aiven, Supabase, Neon, and self-managed Postgres, including Kubernetes. Use it as a cloud service, or self-host with pganalyze Enterprise Server.

What is PawSQL?

PawSQL represents the forefront of query optimization techniques within the database industry, providing advanced SQL rewriting capabilities and sophisticated index recommendations designed to tackle slow-running queries. With the backing of a robust optimization engine and a community of over 10,000 database professionals worldwide, PawSQL offers a comprehensive suite of SQL enhancement strategies along with intelligent index suggestions. It also includes a versatile audit rule framework compatible with a variety of database systems such as MySQL, PostgreSQL, openGauss, and Oracle, guaranteeing a consistent auditing process across different database environments. This rule-based SQL analysis zeroes in on identifying potential correctness issues and areas ripe for performance improvement. In addition to its rich rewrite optimization capabilities, PawSQL proposes semantically equivalent but more efficient SQL statements, while a cost-based validation process ensures that the alternatives generated from SQL rewrites and index suggestions offer better performance results. As a result, PawSQL's intelligent index recommendation feature empowers users to fine-tune their query performance significantly, making it an indispensable tool for database optimization. Ultimately, this combination of features not only enhances the efficiency of database operations but also contributes to a more streamlined user experience.

Media

Media

Integrations Supported

PostgreSQL
Active Directory
Amazon Web Services (AWS)
Claude Code
Cursor
Docker
Google Cloud Platform
Heroku
Honeycomb
Kubernetes
Microsoft Azure
Neon
New Relic
Okta
Slack
Supabase

Integrations Supported

PostgreSQL
DataGrip
MariaDB
MySQL
Oracle Database

API Availability

Has API

API Availability

Has API

Pricing Information

$149 per month
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

pganalyze

Date Founded

2012

Company Location

United States

Company Website

pganalyze.com

Company Facts

Organization Name

PawSQL

Date Founded

2024

Company Location

China

Company Website

www.pawsql.com

Categories and Features

Database Monitoring

Not specified

Log Monitoring

Not specified

Categories and Features

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