IBM DB2 vs Invantive SQL

Struggling to choose between IBM DB2 and Invantive SQL? Both products offer unique advantages, making it a tough decision.

IBM DB2 is a Business & Commerce solution with tags like relational-database, rdbms, xml, json, multiplatform.

It boasts features such as Relational database management system (RDBMS), Advanced database features like row-level locking, stored procedures, triggers, XML and JSON data type support, Runs on multiple platforms like Linux, UNIX and Windows and pros including High performance and scalability, Data compression for reduced storage requirements, Advanced security features, Supports complex data types like geospatial data, Compatibility with many programming languages and frameworks.

On the other hand, Invantive SQL is a Office & Productivity product tagged with sql, data-analytics, reporting, excel-addin.

Its standout features include Allows SQL access to data sources like SAP, Salesforce, Dynamics 365, etc. directly from Excel, Enables creating reports, dashboards, and visualizations in Excel using live data, Provides over 370 functions for data transformation and analysis, Includes a formula engine for complex calculations, Allows scheduling and distributing reports via email or file shares, Integrates with Power BI and Power Query, and it shines with pros like No data replication or caching needed, Easy for Excel users to create reports without IT help, Real-time data access improves accuracy of reporting, Reduces reliance on IT for analytics needs, Works across platforms like Windows, Mac, Linux, and the web.

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.

IBM DB2

IBM DB2

IBM DB2 is a relational database management system (RDBMS) developed by IBM. It supports advanced database features like row-level locking, stored procedures, triggers, XML data type storage, and native JSON data type support. DB2 runs on multiple platforms like Linux, UNIX, and Windows.

Categories:
relational-database rdbms xml json multiplatform

IBM DB2 Features

  1. Relational database management system (RDBMS)
  2. Advanced database features like row-level locking, stored procedures, triggers
  3. XML and JSON data type support
  4. Runs on multiple platforms like Linux, UNIX and Windows

Pricing

  • Subscription-Based
  • Pay-As-You-Go

Pros

High performance and scalability

Data compression for reduced storage requirements

Advanced security features

Supports complex data types like geospatial data

Compatibility with many programming languages and frameworks

Cons

Can be complex to administer

Limited cloud capabilities compared to other databases

Vendor lock-in

Expensive licensing model


Invantive SQL

Invantive SQL

Invantive SQL is an Excel add-in for data reporting and analytics that provides SQL access to 100+ data sources without copying data. It enables business users to create real-time reports, dashboards and visualizations in Excel connected to data sources.

Categories:
sql data-analytics reporting excel-addin

Invantive SQL Features

  1. Allows SQL access to data sources like SAP, Salesforce, Dynamics 365, etc. directly from Excel
  2. Enables creating reports, dashboards, and visualizations in Excel using live data
  3. Provides over 370 functions for data transformation and analysis
  4. Includes a formula engine for complex calculations
  5. Allows scheduling and distributing reports via email or file shares
  6. Integrates with Power BI and Power Query

Pricing

  • Freemium
  • Subscription-Based

Pros

No data replication or caching needed

Easy for Excel users to create reports without IT help

Real-time data access improves accuracy of reporting

Reduces reliance on IT for analytics needs

Works across platforms like Windows, Mac, Linux, and the web

Cons

Requires learning SQL for full capabilities

Limited options for data visualization compared to dedicated BI tools

Not optimized for very large datasets

No built-in data preparation or ETL capabilities