JetBrains 3rd Party Paw SQL Advisor

IntelliJ plugin for SQL optimization and indexing

About this software

PawSQL Advisor is an IntelliJ IDE plugin that integrates PawSQL's SQL optimizer into JetBrains IDEs. It performs SQL auditing, query rewriting, and cost-aware index recommendations, and can validate performance changes. The plugin supports major databases including MySQL, PostgreSQL and Oracle and installs from the JetBrains Marketplace. Configuration requires a PawSQL server or workspace, with options for cloud use or private deployment according to PawSQL documentation.

Purchase

JetBrains 3rd Party Paw SQL Advisor

JetBrains 3rd Party Paw SQL Advisor
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€116.90
Free and without obligation

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Benefits

  • Index recommendations: Suggests index combinations based on query structure and table statistics.
  • Query rewriting: Generates semantically equivalent queries with improved execution plans.
  • Performance validation: Compares execution metrics to quantify optimization impact.
  • IDE integration: Runs inside JetBrains IDEs for local developer workflows.
  • Multiple database support: Supports MySQL, PostgreSQL, Oracle and other SQL dialects.

Available languages

  • English
  • Chinese (Simplified)

Support information

  • Documentation: Online docs cover installation, configuration and usage for the JetBrains plugin.
  • FAQ: An online FAQ addresses common connection, configuration and behavior questions.
  • Marketplace page: The JetBrains Marketplace listing provides install and compatibility details for IDE versions.
  • Private deployment guidance: Docs and blog posts describe PawSQL Engine and Docker deployment options for private installs.
  • Community links: PawSQL lists community channels such as Slack and social accounts on its site.

Frequently asked questions

What is JetBrains 3rd Party Paw SQL Advisor?
An add-on that analyzes SQL queries and surfaces recommendations for query structure, performance, and potential issues within supported development tools.
What kinds of issues does it detect?
Typical findings include inefficient joins, missing indexes, suboptimal query plans, syntax issues, and common anti-patterns; results vary by query and tool integration.
How is it integrated into development workflows?
Integrates with supported IDEs or tools to analyze selected SQL or database interactions, presenting guidance inline or in a report for review and remediation.
How does it handle sensitive query data and privacy?
Behavior depends on configuration; some deployments perform local static analysis while others may use external services. Review configuration options to control data handling and transmission.