Audience

Individuals looking for query optimization in database industry, advanced SQL rewrite optimization, and sophisticate index recommendation capabilities for slow queries

About PawSQL

PawSQL integrates the best practices of query optimization in database industry, provides advanced SQL rewrite optimization, and sophisticate index recommendation capabilities for slow queries. Based on the professional PawSQL optimization engine (used by more than 10,000 database practitioners around the world), it provides rich SQL optimization suggestions and intelligent index recommendations. PawSQL provides a comprehensive and balanced audit rule set for multiple databases such as MySQL, PostgreSQL, openGauss, Oracle, etc., providing enterprises with a consistent audit experience no matter how diverse their database environment is. Rule-based SQL review, covering potential correctness and performance optimization issues. Rich rewrite optimization, recommending semantically equivalent but more efficient SQL queries. Cost-based verification ensures that new solutions based on SQL rewrite and index recommendation have better performance. Intelligent index recommendation.

Pricing

Free Version:
Free Version available.

Integrations

API:
Yes, PawSQL offers API access

Ratings/Reviews - 1 User Review

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 4.0 / 5
support 3.0 / 5

Company Information

PawSQL
Founded: 2024
China
www.pawsql.com

Videos and Screen Captures

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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

PawSQL Frequently Asked Questions

Q: What kinds of users and organization types does PawSQL work with?
Q: What languages does PawSQL support in their product?
Q: What other applications or services does PawSQL integrate with?
Q: Does PawSQL have an API?
Q: What type of training does PawSQL provide?

PawSQL Product Features

Database Monitoring

Anomaly Detection
Historical Trend Analysis
Capacity Planning
Performance Monitoring
Permissions / Access Controls
Troubleshooting
Prioritization
Resource Optimization
Predictive Analytics
Autodiscovery
Query Analysis
Dashboard
Notifications / Alerts
Multitenancy
Dependency Tracking

PawSQL Additional Categories

PawSQL Verified User Reviews

Write a Review
  • A PawSQL User
    Tech Lead
    Used the software for: 6-12 Months
    Frequency of Use: Weekly
    User Role: User
    Company Size: 1 - 25
    Design
    Ease
    Features
    Pricing
    Support
    Probability You Would Recommend?
    1 2 3 4 5 6 7 8 9 10

    "PawSQL probably is the best alternative to EverSQL!"

    Posted 2024-12-13

    Pros: 1. Comprehensive Database Support: PawSQL supports a variety of database systems, including MySQL, PostgreSQL, OpenGauss, and more, providing a consistent auditing experience across diverse database environments
    2. Advanced Parsing Capabilities: PawSQL demonstrates excellent parsing abilities, capable of handling all tested SQL statements without issues
    3. High-Accuracy Warnings: PawSQL provides SQL warnings or tips with high precision, focusing not only on the correctness of SQL statements but also offering performance optimization rules and potential correctness issues
    4. Optimization Suggestions: PawSQL offers query rewrite optimization and intelligent index recommendations, helping developers and DBAs solve SQL performance issues in a one-stop manner
    5. Performance Verification: PawSQL provides a What-If performance verification feature, offering an analyze option to obtain the actual parsing and execution cost of SQL, avoiding the shortcomings of MySQL's explain for intermediate result tables and providing more accurate cost estimation

    Cons: PawSQL doesn't support SQL Server yet, and little support for HIVE SQL.

    Overall: I highly recommend this SQL tuning tool for its ability to analyze and recommend query optimizations automatically. With PawSQL, we were able to fine-tune our SQL statements, eliminate unnecessary joins and recommend the most effective index configurations based on our query patterns, resulting in a significant boost in overall database performance.

    Read More...
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