Qlik Sense
Python

Qlik Sense vs Python: A Comparative Analysis

Jump to

    Introduction

    Comparing Qlik Sense and Python for business intelligence reveals distinct approaches to data analysis and reporting. Qlik Sense offers a visual-driven, user-friendly platform for BI tasks, while Python provides a flexible, code-intensive environment for advanced data manipulation.

    Both tools have their strengths, with Qlik Sense excelling in interactive dashboards and Python in custom analytics. However, for those seeking a balance between ease-of-use and functionality, we'll explore how Sourcetable offers a modernized, spreadsheet-like interface that syncs with your data as an alternative for business intelligence tasks like reporting and data analytics.

    Qlik Sense

    What is Qlik Sense?

    Qlik Sense is a sophisticated data analytics tool that leverages artificial intelligence to deliver comprehensive insights. It is designed for speed and efficiency in data analysis.

    • Analytics and Visualization

      At its core, Qlik Sense employs associative analytics for data exploration, enabling users to uncover hidden insights. It offers a self-service model for creating visualizations and dashboards, enhancing the analytics experience.

    • Interactivity and Predictive Analytics

      Users can interact with data through search and natural language queries. Qlik Sense also supports advanced and predictive analytics, extending its capabilities for various analytical needs.

    • Automation and Integration

      The platform automates insight generation and data preparation, streamlining workflows. It seamlessly integrates with a multitude of data sources, offering flexibility and convenience.

    • Accessibility and Extensibility

      Accessible from anywhere and on any device, Qlik Sense ensures data insights are always within reach. It can also be embedded into other applications and offers a complete set of APIs for customization.

    • Data Management

      Qlik Sense provides robust data prep and connectivity options, ensuring data is ready for analysis.

    • Adoption

      With a trusted user base of over 40,000 customers, Qlik Sense is a proven solution for a variety of data analytics needs.

    Python

    What is Python?

    Python is a high-level, general-purpose programming language known for its readability and versatility. It supports various programming paradigms and is utilized in a wide range of applications.

    • Applications of Python

    • Data analysis
    • Machine learning
    • Web development
    • Automation
    • Software development
    • Software testing
    • Scripting
    • General everyday tasks
    • Python Users

    • Developers
    • Non-developers
    • Accountants
    • Scientists
    • Small business owners
    • Social media marketers
    • Non-programmers for task automation
    • Python's simplicity and powerful libraries make it accessible for professionals across various fields to improve efficiency and implement solutions effectively.

    Qlik Sense

    Key Features of Qlik Sense

    Associative Analytics Engine

    Qlik Sense's unique associative analytics engine enables deep exploration of data, allowing users to uncover insights and perform instant calculations.

    Augmented Analytics

    Built on AI and ML, Qlik Sense provides augmented analytics capabilities, including AI-powered insights, automated insight generation, and predictive analytics.

    Data Integration and Preparation

    Qlik Sense offers comprehensive data prep and integration capabilities, facilitating fast data connectivity and efficient preparation processes.

    Visualization and Dashboards

    Interactive visualizations and dashboards in Qlik Sense help users to visualize both large and small data sets, supporting effective decision-making.

    Artificial Intelligence and Machine Learning

    AI and ML are at the core of Qlik Sense, enabling features like AutoML, intelligent action, and AI-assisted data prep.

    Self-Service Analytics

    Qlik Sense promotes self-service analytics with a code-free environment, allowing users to easily create ML models and custom applications.

    Collaboration and Sharing

    Enhanced collaboration is possible with Qlik Sense's features for discussion threads, notes, and report sharing.

    Alerting and Automation

    Data-driven alerting technology and event-driven actions automate processes and notify users of important changes in data.

    Mobile and Embedded Analytics

    Qlik Sense's mobile capabilities and embedded analytics allow users to access insights on-the-go and integrate analytics into other applications.

    Advanced and Predictive Analytics

    Advanced analytics through Qlik AutoML and integration with data science platforms provide predictive insights for informed decision-making.

    Open and Standard APIs

    Qlik Sense features flexible open and standard APIs, ensuring high performance scalability and connectivity with a wide range of data sources.

    Data Catalog and Management

    A self-service data catalog, along with centralized management and governance, ensures data is accessible and secure.

    Python

    Key Features of Python

    Dynamic Typing

    Python's dynamic nature allows for runtime type enforcement, facilitating flexible and rapid development.

    High-Level Language

    Its high-level constructs simplify complex tasks, making the language accessible and maintainable.

    Open Source

    Being open source, Python encourages community contributions and ensures wide accessibility.

    Readability and Simplicity

    Python's syntax prioritizes readability, enabling developers to write clear and logical code.

    Extensive Standard Library

    The vast standard library in Python provides robust modules and functions for a broad range of applications.

    Object-Oriented

    Python's support for object-oriented paradigms allows for modular and reusable code structures.

    GUI Support

    With GUI programming capabilities, Python is versatile for developing user-friendly interfaces.

    Debugging Ease

    Python's clear syntax and powerful debugging tools streamline the troubleshooting process.

    Qlik Sense

    Advantages of Qlik Sense for Business Intelligence

    Self-Service Data Visualization

    Qlik Sense enables users to create visualizations, dashboards, and reports, enhancing data literacy for decision-making.

    Cost-Effectiveness

    With Qlik Sense priced at $30 per user per month, it is a relatively affordable option for businesses seeking BI solutions.

    Device Compatibility and Mobility

    Qlik Sense's responsive design and mobility features ensure access to BI tools across various devices, facilitating on-the-go data analysis.

    Security and Collaboration

    Qlik Sense provides robust security and a centralized hub for collaboration, streamlining information sharing among users.

    Customization and Flexibility

    The availability of open APIs and customizable analytics solutions allows businesses to tailor Qlik Sense to their specific needs.

    User-Friendly and Powerful Analytics

    Qlik Sense's user-friendly interface is paired with powerful AI-powered analytics, making complex data analysis more accessible.

    Qlik Sense

    Disadvantages of Qlik Sense for Business Intelligence

    Performance Issues with Large Data

    Qlik Sense performance can degrade when handling large data sets, leading to slower data processing times.

    Cost Considerations for Teams

    For larger teams, the cost of Qlik Sense may be prohibitive, potentially limiting its accessibility.

    Limited Excel Integration

    Not all information can be downloaded to Excel from Qlik Sense, which may hinder data portability and reporting flexibility.

    Additional Expenses for Extensions

    Users may incur extra costs for add-ons and plugins, adding to the total cost of ownership of Qlik Sense.

    Qlik Sense

    Frequently Asked Questions About Qlik Sense

    What payment methods are accepted for Qlik Sense training?

    You can pay for training with a credit card, Training Card, or invoice.

    How can I determine which Qlik Sense courses are best for my role?

    You can take training recommendations to find which courses to take for your role.

    Where can I check my Qlik Sense training registration status?

    You can check your registration status on the My Training page.

    Can I use a Training Card to pay for all types of Qlik training products?

    You can use a Training Card to pay for most Qlik training products, but Training Cards cannot be used to pay for certifications.

    Do I need to use the Training Card within a certain time frame?

    You have 12 months from the purchase date to use the Training Card.

    Use Cases for Qlik Sense

    • Qlik Sense

      Improving efficiency, customer service, and sales

    • Qlik Sense

      Creating a company-wide portal for analytics

    • Qlik Sense

      Enhancing operational success

    • Qlik Sense

      Reducing the cost and effort to convert loan prospects

    Python

    Advantages of Python in Business Intelligence

    Rapid Development

    Python enhances rapid development, vital for business intelligence tasks that require quick turnaround times for data analysis and reporting.

    Dynamic Typing

    Being dynamically typed, Python allows for faster scripting and iteration in data analytics, enabling businesses to adapt to changes swiftly.

    Strong Community Support

    The vibrant and active Python community contributes to a wealth of shared knowledge and troubleshooting, beneficial for solving business intelligence challenges.

    Versatility and Ease of Use

    Python's versatility and user-friendliness streamline the development of business intelligence solutions, from web apps to data science projects.

    Libraries and Frameworks

    Python's extensive range of libraries simplifies complex data analytics and reporting tasks, making it a robust tool for business intelligence.

    Cost-Effectiveness

    As a free programming language, Python reduces software costs for business intelligence, making it accessible for businesses of all sizes.

    Learning Curve

    Python's ease of learning facilitates quick upskilling of teams in business intelligence competencies.

    Productivity and Prototyping

    Python's suitability for prototypes and productivity helps businesses to develop, test, and deploy business intelligence applications promptly.

    Microservices and Serverless Applications

    Python's compatibility with microservices and serverless architectures offers scalable and efficient options for business intelligence systems.

    Python

    Disadvantages of Python in Business Intelligence

    Performance Limitations

    Python's slower runtime speed compared to compiled languages such as C++ or Java can lead to longer processing times for complex data analytics, which is a critical factor in business intelligence where time is often of the essence.

    Security Concerns

    With less inherent security features than languages like Java or C++, Python may pose additional risks when handling sensitive business data, potentially leading to vulnerabilities in a business intelligence context.

    Project Suitability

    Python may not align with certain project requirements or team capabilities, which can limit its effectiveness in some business intelligence scenarios, necessitating a careful evaluation of whether Python is the right fit for a given project.

    Memory Consumption

    Issues with memory consumption and garbage collection in Python can affect the performance of data analytics operations, leading to inefficiencies in handling large datasets commonly found in business intelligence.

    Dynamic Typing Challenges

    Python's dynamic typing system can introduce errors that are harder to detect and debug in complex business intelligence applications, potentially reducing the reliability of reporting and analysis outcomes.

    Multithreading Inefficiencies

    Poor multithreading support in Python can be a bottleneck when performing concurrent processing of data, which is often required for timely insights in business intelligence.

    Python

    Frequently Asked Questions About Python

    What is Python?

    Python is a high-level, interpreted programming language known for its simplicity and versatility.

    Why is Python installed on my computer?

    Python may be installed on your computer because it is widely used for programming, scripting, and software development, and it may be required for running certain applications or scripts.

    Can Python be used for web development?

    Yes, Python can be used for web development with frameworks such as Django and Flask.

    What is a Python library?

    A Python library is a collection of modules and packages that help with coding in Python by providing pre-written code for common tasks.

    How do I install Python libraries?

    Python libraries can be installed using package managers like pip, which is the Python package installer.

    Use Cases for Python

    • Python

      Data Processing for Business Insights

    • Python

      Automating Data Collection from Web Sources

    • Python

      Generating Automated Reports and Sending via Email

    • Python

      Developing Web Backends for Business Intelligence Dashboards

    • Python

      Predictive Analytics and AI for Business Forecasting

    sourcetable

    Why Sourcetable is a Superior Choice for Business Intelligence

    • Streamlined Reporting and Analytics

      Sourcetable offers a unified platform that simplifies the complex process of reporting and analytics. Unlike Qlik Sense, which provides an extensive array of analytics tools, Sourcetable centralizes data in a user-friendly spreadsheet interface, making it more accessible for users of all skill levels.

    • Enhanced Data Syncing Across Services

      Businesses using Sourcetable benefit from its ability to seamlessly sync data across various services. This eliminates the need for intricate data prep and integration capabilities that Qlik Sense offers, streamlining the workflow and reducing the time to insight.

    • User-Friendly Interface

      The spreadsheet-like interface of Sourcetable is intuitive compared to the AI and ML-powered analytics platforms like Qlik Sense. This makes it easier for non-technical users to perform business intelligence tasks without the steep learning curve associated with more complex tools.

    • Reduced Complexity

      Sourcetable reduces the complexity of business intelligence by eliminating the need for advanced analytics integration and predictive analytics that Qlik Sense provides. This simplicity allows for quick adoption and immediate productivity gains.

    • Cost-Effective Solution

      With Sourcetable, businesses can avoid the potentially higher costs associated with comprehensive solutions like Qlik Sense and the technical expertise required to utilize Python for business intelligence. Sourcetable's straightforward approach offers a cost-effective alternative.

    Qlik Sense
    vs
    Python

    Comparison of Qlik Sense and Python

    Common Features

    Both Qlik Sense and Python are utilized for data analytics and have capabilities for predictive analytics and machine learning. They support various data sources for integration and preparation, facilitating a comprehensive data analytics process.

    Data Analytics Capabilities

  • Qlik Sense and Python offer advanced and predictive analytics, enabling data-driven decision-making.
  • Both platforms have AI and ML tools, allowing users to create machine learning models and make predictions.
  • Interactivity and Visualization

  • Qlik Sense is known for its interactive dashboards and visualizations, a feature Python supports through libraries like Matplotlib and Seaborn.
  • Integration and Automation

  • Both Qlik Sense and Python can automate data workflows and integrate with multiple data sources, enhancing efficiency in data handling.
  • Customization and Extensibility

  • Qlik Sense offers open APIs for customization, similar to Python's extensive libraries and APIs that enable custom analytics solutions.
  • Accessibility and Skill Levels

  • Qlik Sense and Python are accessible to users of varying skill levels in data analytics, with Python providing a broad range of educational resources.
  • Deployment Options

  • Qlik Sense offers cloud-based SaaS and on-premises solutions, while Python can be run on various environments, including cloud-based platforms.
  • Qlik Sense
    vs
    Python

    Qlik Sense vs. Python

    Functionality and Use Cases

    Qlik Sense is a data analytics tool designed for business intelligence (BI) with a focus on data visualization, dashboard creation, and augmented analytics. Python is a general-purpose programming language that can be used for a wide range of applications, including but not limited to data analysis, machine learning, web development, and scripting.

    Accessibility and User Skill Level

    Qlik Sense is tailored for users of all skill levels, offering AI-assisted creation and data prep, and does not require coding knowledge. Python requires programming skills and is often used by data scientists and developers who are comfortable with coding.

    Interactivity and Analytics Engine

    Qlik Sense features a highly interactive associative analytics engine, enabling users to explore data from any direction. Python, with libraries like pandas and scikit-learn, offers powerful data manipulation and machine learning capabilities but does not inherently provide interactive analytics.

    Deployment and Integration

    Qlik Sense offers cloud-based SaaS and on-premises deployment options and integrates with hundreds of data sources. Python can be deployed in various environments and integrates with data sources through libraries but requires manual setup and configuration.

    Augmented Analytics and ML Capabilities

    Qlik Sense uses AI and ML to offer augmented analytics and predictive analytics with features like AutoML, without the need for data science expertise. Python, through its extensive libraries, allows for the creation of custom ML models but requires a deeper understanding of machine learning concepts.

    Report Generation and Alerting

    Qlik Sense generates reports in Microsoft Office and PDF formats and offers intelligent alerting for immediate action on data changes. Python can generate reports and implement alerting systems but requires additional coding and setup.

    Customization and APIs

    Qlik Sense has a complete set of open APIs for custom app development, new visualizations, and embedded analytics. Python is inherently customizable through code but does not offer a dedicated API for analytics.

    Support and Community

    Qlik Sense is supported by Qlik and used by over 40,000 customers worldwide, providing a strong community and professional support. Python has a vast open-source community and extensive documentation but relies on community-driven support.

    sourcetable

    Qlik Sense vs. Python with Sourcetable

    Data Analytics Capabilities

    Qlik Sense is a dedicated data analytics tool with AI-powered insights and predictive analytics. It features associative and augmented analytics, as well as automated insight generation. Python with Sourcetable can perform data analysis, but requires manual setup of the environment and coding for insights and predictions. Qlik Sense also offers AI-assisted creation and data prep, unlike Python, which depends on libraries and manual scripting for data preparation.

    Machine Learning and AI

    Qlik Sense has built-in AutoML for machine learning and AI capabilities, facilitating predictive analytics without extensive coding. Python is a general-purpose programming language that, with the right libraries like scikit-learn and TensorFlow, can be powerful for machine learning but requires more in-depth knowledge to implement AutoML features.

    Data Integration and Preparation

    Qlik Sense provides data preparation and integration from hundreds of data sources with a well-governed data catalog. Python, in conjunction with Sourcetable, allows for data integration, but it is more manual and script-based, requiring users to write code for data manipulation and integration.

    Usability and Accessibility

    Qlik Sense has a user-friendly interface with search and conversational analytics, making data analytics accessible to non-technical users. Python with Sourcetable is more developer-focused, requiring programming skills to derive insights from data.

    Customization and Development

    Qlik Sense has customizable analytics solutions with a set of open APIs, custom app development, and application automation. While Python is inherently customizable and can be used to develop a wide range of applications, it requires more technical expertise to build and automate applications compared to Qlik Sense.

    Collaboration and Governance

    Qlik Sense supports data collaboration with a focus on governance, ensuring secure and organized access to data. Python with Sourcetable can be used collaboratively, but governance and secure data access depend on the implementation of additional tools or platforms.

    Market Presence

    Qlik Sense has a broad market presence with more than 40,000 customers worldwide, indicating a strong user base and community. Python's popularity is extensive in the programming world, with a large community contributing to its libraries and tools, but its market presence in the analytics domain is segmented by the variety of tools and libraries available.

    sourcetable

    Frequently Asked Questions About Sourcetable

    What is Sourcetable and who typically uses it?

    Sourcetable is a spreadsheet application that allows users to access data from most 3rd party applications, query data, and build live models that automatically update. It replaces traditional workflows in Excel, Google Sheets, and Business Intelligence tools. Growth teams and business operations teams typically use Sourcetable.

    Do I need to know how to code to use Sourcetable?

    No, Sourcetable does not require any coding to use.

    How often does Sourcetable sync data?

    Sourcetable syncs data from over 100 applications and most databases. The data integrations update every 15 minutes on the regular plan and every 5 minutes on the pro plan.

    How much does Sourcetable cost?

    Sourcetable costs $50 per month for the starter plan and $250 per month for the pro plan. Additional seats cost $20 per month each.

    Is there a free trial available for Sourcetable?

    Yes, all plans have a 14-day free trial period.

    Qlik Sense

    Qlik Sense Pricing

    • Qlik Cloud Analytics Plans

      Qlik Cloud Analytics Plans require an annual billing cycle.

    • Premium Plan

      The starting price for the Premium plan is $2,700 per month.

    • Enterprise Plan

      Enterprise plans offer a starting data allowance of 500GB per year for analysis and include all features available in the Premium plan.

    Python

    Cost of Learning Python

    • External Factors Influencing Cost

      Learning Python incurs costs primarily due to external factors. These include necessary hardware upgrades, enrollment in bootcamps, and fees for obtaining professional certifications.

    • Python Certification Programs by Noble Desktop

      Noble Desktop offers specialized certification programs such as the Python Developer Certificate and the Data Science Certificate. The cost for these programs ranges from $3,495 to $3,995.

    • Additional Costs

    • Computer Upgrades
    • Bootcamp Training
    • Professional Certifications
    • Python Training as an Investment

      Investing in Python training, whether through bootcamps or certificate programs, is considered beneficial for career advancement.

    • Cost Range for Python Classes

      Noble Desktop provides Python classes with costs varying from $1,495 to $3,995, depending on the chosen course.

    Python

    User Reviews of Python

    Users seeking to review their Python skills without starting from scratch have shared various strategies for refreshing their knowledge effectively. These insights are gathered from forums, educational platforms, and coding communities.

    • Review Strategies

    • Practicing with projects that are slightly above the user's current skill level can reinforce and expand their Python knowledge.
    • Engaging in coding challenges and exercises targeted at intermediate-level programmers helps to recall and apply previously learned concepts.
    • Participating in peer code reviews can provide constructive feedback and introduce new Python techniques or best practices.
    • Resources for Review

    • Online Python communities recommend interactive Python notebooks for trying out code snippets and seeing immediate results.
    • Users value websites that offer Python puzzles as a way to test and improve problem-solving skills in a fun manner.
    • Video tutorials focusing on intermediate Python topics are highly regarded for their ability to demonstrate concepts in action.

    Conclusion

    Qlik Sense offers a visual-driven approach to business intelligence, designed for interactive data visualization and exploration. Python, with its extensive libraries, is suited for those who prefer a coding approach to manipulate and analyze data.

    Both tools have their merits, but the choice between them depends on user preference for visual interaction versus coding flexibility. Organizations seeking a balance between these approaches must evaluate their team's skills and the complexity of their data tasks.

    Sourcetable provides a simplified alternative by integrating real-time data from various services into a spreadsheet interface. This streamlines the BI process, catering to those who value familiarity and ease of use.



    Simplify Your BI Tooling

    Sourcetable is the AI spreadsheet that lets you analyze your data in one place. Get unlimited access free for 14 days.