SQuirreL SQL vs Invantive Query Tool

Struggling to choose between SQuirreL SQL and Invantive Query Tool? Both products offer unique advantages, making it a tough decision.

SQuirreL SQL is a Development solution with tags like sql, client, open-source.

It boasts features such as Graphical interface to view and query databases, Supports many popular databases like MySQL, Oracle, PostgreSQL, etc, Allows users to browse and modify database structures, Provides SQL editor with syntax highlighting and auto-completion, Allows users to run SQL scripts and view results in a grid, Provides database session history and favorites, Plugin architecture to extend functionality and pros including Free and open source, Works across platforms like Windows, Mac and Linux, Lightweight and easy to install, Supports many database systems, Good for basic database administration and querying.

On the other hand, Invantive Query Tool is a Office & Productivity product tagged with data-analysis, data-connectivity, data-transformation, spreadsheet, sap, oracle, sql-server, excel, salesforce.

Its standout features include Connects to various data sources like SAP, Oracle, SQL Server, Excel, Salesforce, Enables business users to easily extract, transform and analyze data without coding, Spreadsheet-style interface for querying and analyzing data, Supports complex data transformations and calculations, Scheduling and automation capabilities, Collaboration features like sharing queries and reports, and it shines with pros like No coding required, Intuitive spreadsheet interface, Connects to many data sources, Powerful transformation and analysis capabilities, Automation and scheduling, Collaboration features.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

SQuirreL SQL

SQuirreL SQL

SQuirreL SQL is an open-source SQL client that allows users to view and query databases through a graphical interface. It supports many popular database systems like MySQL, Oracle, PostgreSQL and more.

Categories:
sql client open-source

SQuirreL SQL Features

  1. Graphical interface to view and query databases
  2. Supports many popular databases like MySQL, Oracle, PostgreSQL, etc
  3. Allows users to browse and modify database structures
  4. Provides SQL editor with syntax highlighting and auto-completion
  5. Allows users to run SQL scripts and view results in a grid
  6. Provides database session history and favorites
  7. Plugin architecture to extend functionality

Pricing

  • Open Source

Pros

Free and open source

Works across platforms like Windows, Mac and Linux

Lightweight and easy to install

Supports many database systems

Good for basic database administration and querying

Cons

Not as full-featured as commercial database clients

Limited support for very large result sets

Basic UI lacking polish

Limited options for formatting query results


Invantive Query Tool

Invantive Query Tool

The Invantive Query Tool is a spreadsheet-style data analysis software that connects to various data sources like SAP, Oracle, SQL Server, Excel, Salesforce and enables business users to easily extract, transform and analyze data without coding.

Categories:
data-analysis data-connectivity data-transformation spreadsheet sap oracle sql-server excel salesforce

Invantive Query Tool Features

  1. Connects to various data sources like SAP, Oracle, SQL Server, Excel, Salesforce
  2. Enables business users to easily extract, transform and analyze data without coding
  3. Spreadsheet-style interface for querying and analyzing data
  4. Supports complex data transformations and calculations
  5. Scheduling and automation capabilities
  6. Collaboration features like sharing queries and reports

Pricing

  • Subscription-Based

Pros

No coding required

Intuitive spreadsheet interface

Connects to many data sources

Powerful transformation and analysis capabilities

Automation and scheduling

Collaboration features

Cons

Steep learning curve for advanced features

Limited visualization capabilities compared to dedicated BI tools

Not optimized for handling very large datasets

Limited options for publishing and sharing reports