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Map Maker vs QlikView

Professional comparison and analysis to help you choose the right software solution for your needs.

Map Maker icon
Map Maker
QlikView icon
QlikView

Map Maker vs QlikView: The Verdict

Last updated: May 2026 · Comparison by Sugggest Editorial Team

Feature Map Maker QlikView
Sugggest Score
Category Online Services Business & Commerce

Product Overview

Map Maker
Map Maker

Description: Map Maker is a free, easy-to-use web-based tool for creating custom Google Maps. It allows users to add markers, lines, shapes, and customize maps to suit their needs. Good for basic map making and annotating without geographic information system (GIS) expertise.

Type: software

QlikView
QlikView

Description: QlikView is a business intelligence and data visualization software that allows users to create interactive dashboards and data apps. It provides data integration, analytics, and reporting capabilities in a single platform.

Type: software

Key Features Comparison

Map Maker
Map Maker Features
  • Add custom markers, lines, shapes
  • Import spreadsheets and Fusion Tables
  • Customize map styles and themes
  • Share and collaborate on maps
  • Geocode addresses
  • Print maps
  • Export to Google Earth
  • Mobile-friendly maps
QlikView
QlikView Features
  • Drag-and-drop interface for data modeling
  • In-memory associative analytics engine
  • Interactive dashboards and visualizations
  • Self-service BI capabilities
  • Data integration from multiple sources
  • Mobile BI support
  • Collaboration and sharing capabilities
  • Advanced security features

Pros & Cons Analysis

Map Maker
Map Maker
Pros
  • Free and easy to use
  • Intuitive drag-and-drop interface
  • Real-time collaboration
  • Integrates with other Google services
  • No GIS expertise required
Cons
  • Limited customization and styling options
  • No advanced GIS capabilities
  • Data storage limits
  • Requires Google account
  • Lacks some features of paid alternatives
QlikView
QlikView
Pros
  • Powerful data visualization capabilities
  • Intuitive and easy to use
  • Fast in-memory performance
  • Flexible self-service BI
  • Scalability to large data volumes
  • Strong data integration features
  • Collaboration capabilities
  • Broad platform and device support
Cons
  • Steep learning curve
  • Expensive licensing model
  • Scripting language can be complex
  • Limited advanced statistical/analytic functions
  • Less flexibility than open-source options
  • Dependency on proprietary file format (QVD)

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