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Average Ratings 1 Rating
Description
LINQPad serves not only for executing LINQ queries but also for any expression, statement block, or program written in C#, F#, or VB. Say goodbye to the clutter of countless Visual Studio Console projects in your source folder and embrace the dynamic world of LINQPad, where scripters and incremental developers thrive. You can seamlessly reference your own assemblies and NuGet packages, allowing for greater flexibility in your coding process. Use LINQPad to prototype your ideas and transfer tested code into Visual Studio with ease, or even run your scripts straight from the command line. Enjoy LINQPad’s sophisticated output formatting, optional debugging features, and autocompletion, all of which enhance the experience of dynamic development and provide instant feedback! If you’re weary of using outdated SQL, LINQPad offers a modern solution that enables you to query databases interactively using LINQ. It comes equipped with a powerful engine capable of creating typed data contexts on the fly and supports a variety of databases, including SQL Server, SQL Azure, SQL CE, Oracle, SQLite, PostgreSQL, and MySQL, making it an invaluable tool for developers. With its extensive capabilities, LINQPad not only simplifies database interactions but also fosters a more efficient coding environment.
Description
PawSQL embodies the leading practices of query optimization within the database sector, offering sophisticated SQL rewrite enhancements and advanced index suggestions aimed at addressing sluggish queries. Leveraging the expertise of its professional optimization engine, which boasts a user base of over 10,000 database professionals globally, PawSQL delivers an extensive array of SQL optimization advice along with smart index recommendations. Additionally, it features a well-rounded audit rule framework designed for various database systems, including MySQL, PostgreSQL, openGauss, and Oracle, ensuring that enterprises enjoy a uniform auditing experience across their diverse database landscapes. The rule-oriented SQL evaluation focuses on identifying potential correctness flaws and opportunities for performance enhancement. By providing rich rewrite optimization, it suggests semantically equivalent yet more efficient SQL queries, while the cost-based validation confirms that the proposed solutions from SQL rewrites and index recommendations yield superior performance outcomes. Furthermore, PawSQL’s intelligent index recommendation feature enables users to optimize their query performance effectively.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
MySQL
Yes
PostgreSQL
Yes
Amazon Web Services (AWS)
Yes
Azure SQL Database
Yes
DataGrip
No
MariaDB
No
Microsoft Azure
Yes
Microsoft Dynamics 365
Yes
Microsoft SharePoint
Yes
Oracle Cloud Infrastructure
Yes
Integrations
MySQL
Yes
PostgreSQL
Yes
Amazon Web Services (AWS)
No
Azure SQL Database
No
DataGrip
Yes
MariaDB
Yes
Microsoft Azure
No
Microsoft Dynamics 365
No
Microsoft SharePoint
No
Oracle Cloud Infrastructure
No
Pricing Details
$59 per user
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
LINQPad
Founded
2007
Country
Australia
Website
www.linqpad.net
Vendor Details
Company Name
PawSQL
Founded
2024
Country
China
Website
www.pawsql.com
Product Features
Software Testing
Automated Testing
No
Black-Box Testing
No
Dynamic Testing
No
Issue Tracking
No
Manual Testing
No
Quality Assurance Planning
No
Reporting / Analytics
No
Static Testing
No
Test Case Management
No
Variable Testing Methods
No
White-Box Testing
No
Product Features
Database Monitoring
Anomaly Detection
No
Autodiscovery
No
Capacity Planning
No
Dashboard
No
Dependency Tracking
No
Historical Trend Analysis
No
Multitenancy
No
Notifications / Alerts
No
Performance Monitoring
No
Permissions / Access Controls
No
Predictive Analytics
No
Prioritization
No
Query Analysis
No
Resource Optimization
No
Troubleshooting
No