Software Alternatives & Startups

Qlik VS LabVIEW

Compare Qlik VS LabVIEW and see what are their differences

Qlik

Qlik offers an Active Intelligence platform, delivering end-to-end, real-time data integration and analytics cloud solutions to close the gaps between data, insights, and action.

LabVIEW

LabVIEW offers many of the functions you'd find in a traditional script-based programming language presented in a more intuitive visual interface ideal fo engineering.

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Qlik seems to be more popular. It has been mentioned 1 time since March 2021.

social mentions
1 vs 0
user rating
5.0 vs 3.0
Data Dashboard popularity
100% vs 0%
alternatives listed
240+ vs 173

Base details

Website, pricing, platforms and company facts side by side.

Qlik
LabVIEW
Website qlik.com ni.com
Pricing —
Listed in

Features and specs

What each product offers, as listed by its team.

Qlik 5 features
LabVIEW 5 features
  • Data Integration
    Qlik offers powerful data integration capabilities, allowing users to pull in data from multiple sources, clean it, and prepare it for analysis. This is particularly useful for organizations dealing with diverse datasets.
  • Associative Data Engine
    Qlik's unique associative data engine enables users to explore data freely, without the limitations of traditional hierarchical or query-based models. This feature ensures that all data relationships are maintained and accessible.
  • Interactive Visualizations
    Qlik provides highly interactive and customizable visualizations, making it easier for users to derive insights and share findings. The visualizations are intuitive and can be tailored to meet specific business needs.
  • AI Capabilities
    The platform includes AI-driven features like Insight Advisor, which helps users uncover insights and generate analytics automatically. This reduces the learning curve and makes advanced analytics more accessible.
  • Scalability
    Qlik is designed to scale from small teams to large enterprises. It supports both on-premises and cloud deployments, making it flexible to meet various business sizes and infrastructure preferences.

Possible disadvantages

  • Complexity in Initial Setup
    The initial setup and configuration of Qlik can be complex and time-consuming, often requiring specialized knowledge or professional services to get started effectively.
  • Cost
    Qlik can be expensive, especially for smaller businesses. The cost includes not just licensing fees but also potential expenditures on training, deployment, and maintenance.
  • Learning Curve
    Although Qlik offers a powerful feature set, there is a steep learning curve for new users. Mastering the platform's full capabilities can take significant time and effort.
  • Performance Issues
    In some instances, users have reported performance issues, particularly when dealing with extremely large datasets or complex queries, which can hinder real-time analysis.
  • Limited Third-Party Integration
    While Qlik does support integration with various third-party tools, it may not be as extensive as some other analytics platforms. This can limit its usefulness in a highly diversified technology stack.
  • Graphical Programming
    LabVIEW utilizes a graphical programming language called 'G', which allows users to design programs by connecting functional nodes with wires in a block diagram, making it intuitive and easy to visualize data flow and program structure.
  • Integration
    LabVIEW offers seamless integration with National Instruments (NI) hardware, enabling quick and efficient setup for data acquisition, instrument control, and embedded systems.
  • Extensive Libraries
    LabVIEW comes with a wide array of built-in libraries and toolkits for various applications such as data analysis, signal processing, and machine learning, significantly speeding up development time.
  • Cross-Platform Compatibility
    LabVIEW supports several operating systems including Windows, macOS, and Linux, allowing for flexible deployment options.
  • Support and Community
    NI provides robust technical support and there is a large, active community of users who contribute tutorials, forums, and example projects, facilitating learning and problem-solving.

Possible disadvantages

  • Cost
    LabVIEW is proprietary software, and its licensing costs can be high, especially for small businesses or personal use, potentially limiting accessibility.
  • Learning Curve
    Despite its visual nature, mastering LabVIEW can take a considerable amount of time and effort, particularly for users who are more comfortable with traditional text-based programming languages.
  • Performance
    Graphical programming can sometimes lead to less efficient code in comparison to optimized text-based languages, potentially impacting performance for computationally intensive applications.
  • Vendor Lock-In
    Being tightly integrated with NI hardware and software, switching to or incorporating other vendors' products can be challenging, leading to a form of vendor lock-in.
  • Cluttered Interface
    For large and complex projects, the graphical nature of LabVIEW can result in cluttered block diagrams, which may be hard to manage and troubleshoot.

Analysis

An editorial look at what each product does well and who it suits.

Qlik
LabVIEW

Overall verdict

  • Qlik is generally considered a good choice for data visualization and business intelligence needs.

Why this product is good

  • Flexibility
    Qlik's platform allows for self-service data discovery, guided analytics, and embedded analytics.
  • Integration
    Qlik integrates well with various data sources, making it versatile for diverse data environments.
  • User friendly
    Qlik offers an intuitive interface that caters both to advanced users and beginners.
  • Active community
    There is a strong community of Qlik users and developers who contribute to forums and share solutions.
  • Powerful analytics
    It provides robust analytics capabilities with associative data indexing, which lets users easily explore data.

Recommended for

  • Businesses seeking a comprehensive business intelligence tool.
  • Users who require a highly flexible, self-service analytics environment.
  • Organizations that need to integrate a wide array of data sources.
  • Companies looking for strong visual analytics capabilities.

Overall verdict

  • LabVIEW is highly regarded in industries such as engineering, manufacturing, and research for its capability to quickly develop and deploy reliable systems. Its effectiveness can vary based on project requirements and user familiarity with graphical programming. While it is powerful for specific applications, it might not be the best choice for general-purpose software development.

Why this product is good

  • LabVIEW, developed by National Instruments, is a graphical programming environment used primarily for data acquisition, instrument control, and industrial automation. It excels in applications requiring rapid development of test, measurement, and control systems. Its intuitive drag-and-drop interface allows for easy development of complex programs, particularly where visual representation of logic is beneficial. It also integrates seamlessly with a wide variety of hardware and provides extensive libraries for data analysis and visualization.

Recommended for

  • Engineers and scientists who need to build test and measurement applications
  • Professionals involved in industrial automation and control systems
  • Educational institutions for teaching students about data acquisition and instrumentation
  • Companies looking for a rapid development environment for prototyping hardware-integrated applications

Videos

Walkthroughs and reviews on video.

Qlik 2 videos + Add
LabVIEW 3 videos + Add

A Day in the life of a Qlik Cloud User

More videos

  • - Qlik Sense Product Tour

Introduction to LabVIEW NXG

More videos

  • - What's new in LabVIEW 2019?
  • - LabVIEW NXG First review

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Qlik
LabVIEW
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

Share your experience with using Qlik and LabVIEW. For example, how are they different and which one is better?

Log in or Post with

Reviews and articles

External articles and on-site reviews we used to compare the two products.

Qlik 5.0 · 1 review
LabVIEW 3.0 · 1 review
  • Wow So Impresssed
    SaaSHub review
    · Apr 2026

    Qlik's associative data model makes data analytics seamless. Highly Recomend using this to anyone.

  • 10 Best Alternatives to Looker in 2024

    Qlik: Qlik sets itself apart with its associative analytics engine, enabling users to uncover trends and patterns through intuitive exploration without predefined queries. This offers a more flexible and dynamic...

  • Top 11 Fivetran Alternatives for 2024
    estuary.dev · Aug 2024

    Qlik provides three data integration products - Stitch (covered under Stitch) Talend Data Fabric (covered under Talend) and Qlik Replicate, which was originally Attunity. Qlik Replicate has both on-premises and cloud...

View more

  • Automation Engineer
    SaaSHub review
    · Apr 2023

    Experience in automation with Labview projects. Certified Labview associate developer

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Qlik 1 mention
LabVIEW 0 mentions
  • GME FTD - Moving Daily Avg.
    All files was pulled into a program called : QLIK, qlik.com is the company and my company uses it for our reporting and our customer's reporting needs. Source: over 5 years ago

Tracking LabVIEW since Mar 2021.

Alternatives to Qlik and LabVIEW

When comparing Qlik and LabVIEW, you can also consider the following products.