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SPSS Statistics vs Qlik Sense

Last Updated: November 18th, 2024

Our analysts compared SPSS Statistics vs Qlik Sense based on data from our 400+ point analysis of Business Intelligence Tools, user reviews and our own crowdsourced data from our free software selection platform.

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Product Basics

IBM SPSS, or Statistical Product and Service Solutions, is a data analysis platform that provides advanced statistical insights to propel business decision-making and research by crunching large datasets. With a user-friendly interface, it empowers everyone from basic users to experienced data scientists to perform statistical analysis. Scalable and agile, it is suitable for companies of all sizes.

Users can purchase it through an on-premises license or a subscription plan to a hybrid SaaS. Users who choose either monthly or annual subscription receive access to the base version and can choose which of three optional add-ons to include, if any, between Custom Tables and Advanced Statistics, Complex Sampling and Testing, and Forecasting and Decision Trees.

Perpetual and term licensees can choose between four editions that offer different levels of functionality: Base, standard, professional and premium. It was first launched as Statistical Package for the Social Sciences by three Stanford students in 1968 and later acquired by IBM in 2009.

Qlik Sense is a self-service analytics solution that supports enterprise decisions and strategy. Its value lies in interactive dashboards and reports for exploring data independently. Embedded analytics lets your users work freely with data within their applications and websites.

Like QlikView, Qlik Sense has an associative engine. It links data tables in memory, keeping the information ready for when your users build models. Plus, its cognitive engine uses natural language for data tasks.

The Enterprise subscription includes Talend Data Integration and Qlik Advanced Analytics in Qlik Cloud. You can also choose Qlik Data Integration. Qlik Sense Enterprise SaaS includes 5000 automations and 100 reports. It might be a good fit if your data loads are predictable and don't change much. The vendor charges for the data you move or the volumes you analyze; you can choose between the two.

Qlik Sense deploys on Windows, Mac, Linux and any phone device. By contrast, Tableau runs on Windows, Mac and mobile, while Power BI is available only on Windows and Android devices.

Individual users can choose the desktop edition, though they’ll need a Qlik Cloud account to download it. A 30-day trial period is available, after which it'll cost $30 per user monthly.

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Tailored to your specific needs

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Product Insights

Increase Reliability of Analysis: Data analysts and scientists can reach more dependable conclusions and ensure high accuracy, backed by numbers and models made from their data.
Assists in Decision Making: Organize and analyze data sets in order to draw conclusions, glean insights and make data-driven business decisions.
Statistics with Speed: Maximize productivity by quickly crunching data sets. Handle complicated tasks in a third of the time of many non-statistical programs.
Data Management: Remove manual work, as the system does all the legwork in preparing and organizing data sets for analysis. It estimates and uncovers missing values, improving the accuracy of reports.
Ease of Use: According to the IBM website, 81% of reviewers rank SPSS as easy to use. A point-and-click interface and natural language processing allow analytics capabilities to be accessed by those without coding skills or advanced statistics knowledge.
Scalability: Built to scale and work with large volumes of data, supporting anything from basic descriptive analytics to advanced statistics simulations. Purchase as many licenses as needed, ensuring cost-efficiency for small businesses as well as robustness for large scale enterprises.
Customized Predictive Analytics: Tailor predictive analytics to unique needs and perform ad hoc analysis to find the information needed, making better predictions over time.
Free Trial: Access all capabilities with a free 14-day trial period.
Academic Versions: An academic version is optimized for higher education and research. Program availability varies based on user roles, including students, teachers, researchers and campus-wide administrators.

Gain AI Insights: Qlik Sense wins our award for augmented analytics with the Insight Advisor that enables automation and text searches with an AI chatbot. You can query unstructured data with Qlik Answers using an LLM and retrieval-augmented generation (RAG).
Combine Data: Qlik Sense earns our top honors for wide source connectivity. It ranks at par with Oracle Analytics and Tableau with a score of 80 on a scale of zero to 100. While ingesting data is half the battle won, combining related information gives you the complete picture. Qlik Sense passes with flying colors for intelligent data linking and retaining even unmatched data, such as records of customers who haven’t made a purchase recently.
Ensure Data Security: Our analysts awarded Qlik Sense for its ability to keep data secure with regular testing. Plus, it maintains records of CPU, RAM and file usage. You can set up gated entry by having users authenticate their identities and include Qlik Sense into SSO.
Perform Advanced Analytics: Qlik Sense scored a 91 in our rankings for supporting cluster, regression and what-if analysis. Plus, it can analyze text data for buyer sentiment with server-side processing. Offloading data to the R server enables analyzing much larger volumes.
IoT Analytics: Our analysts gave Qlik Sense a score of 82, the highest among its competitors for analyzing edge and streaming data. Qlik has a robust API set for computing data in edge devices. Plus, it can capture streaming data changes as they happen.

Data Source Connectivity: Enables reading and writing data from a wide spectrum of file formats and sources. These include ASCII text files, spreadsheets and databases like Microsoft Excel and Microsoft Access, as well as those from other statistics packages.
Data Preparation: Streamlines the data preparation process. Identify invalid values, view patterns of missing data and automate data preparation to analyze and clean up large data sets in a single step. Validate the accuracy of analysis with a thorough, efficient data conditioning workflow.
Point-and-Click Interface: Allows users without coding knowledge to leverage point-and-click data analysis with drop-down menus and drag-and-drop functionality.
Automated Analytics: Automate common tasks with syntax and create customized data analyses that run using algorithms.
Comprehensive Statistical Analysis: Perform many kinds of statistics tests, including but not limited to linear and non-linear models, simulation modeling, bayesian statistics, custom tables, complex sampling, advanced and descriptive statistics, and regression.
Ad Hoc Analysis: “Slice and dice” data by creating customized tables to dig deeper and improve understanding.
Predictive Analytics:

Uncovers complex relationships between variables with functions like time series analysis, forecasting, neural networks and temporal causal modeling.
Simulates values and accounts for the uncertainty of the future using probability distributions.
Improves predictive models with multilayer perception and radial basis function.

Geospatial Analysis: Explore the relationship between data points that can be tied to specific locations.
Direct Marketing: Improve campaigns and target key customers. Conduct advanced statistics analysis of customers or contacts with RFM (recency, frequency, monetary) analysis.
Open-Source Integration: Enhance syntax with programming languages R and Python through a library of more than 100 free extensions on the IBM Extension Hub, or opt to build programs.
Export with Ease: Export data to a proprietary file format. Can be exported to a variety of widely accessible formats such as text, Microsoft Word, PDF, Excel, HTML, XML, XLS and more. Export to a variety of graphic image formats.

AI Integration: Ask and answer questions in natural language and automate processes using OpenAI and H2O.ai. Feed massive datasets to the LLM and watch as it summarizes the insight for you. Move beyond traditional analysis by working with the IBM Watson API for natural language.
Qlik Sense Management Console: Develop apps, manage tasks and connections, and track performance. With QMC, create content and consume data insights.
Reporting Service: Keep partners and clients on the same page by sending reports to everyone involved, even non-Qlik users. Download reports, subscribe to charts and sheets, or automate report delivery with its Reporting Service, available with Qlik Sense Enterprise SaaS.
Apps: Create interactive dashboards and visualizations for separate tasks within Qlik Sense. An organization can use hundreds of Qlik Sense apps in its tech stack.
Associative Recommendations: Save time defining how data tables relate with its intelligent suggestions, something Tableau and Power BI lack. Bubbles represent data tables and color-coded rings — green, orange and red — inside them indicate the possibility of links between the tables.

Product Ranking

#86

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Analyst Rating Summary

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User Sentiment Summary

87%

of users recommend this product

SPSS Statistics has a 'great' User Satisfaction Rating of 87% when considering 1881 user reviews from 6 recognized software review sites.

87%

of users recommend this product

Qlik Sense has a 'great' User Satisfaction Rating of 87% when considering 3168 user reviews from 5 recognized software review sites.

4.3 (18)

4.8 (18)

4.2 (712)

4.5 (668)

4.51 (528)

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4.6 (40)

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4.0 (993)

Synopsis of User Ratings and Reviews

Research Analysis: It’s easy to analyze and interpret large and complex datasets to generate insights, according to 96% of reviewers who mention this feature.

Ease of Use: The platform is user-friendly and easy to navigate as observed by almost 95% of reviewers mentioning ease of use.

Interface: The interface has a clean layout and visually appealing design according to 75% of users referencing it.

Syntax: It’s easy to use (copy and paste) and proof syntax, and save for later, as noted by 95% of reviewers who talk about this feature.

Resources: Of users mentioning support, 93% agreed that access to various support manuals and courses, as well as an extensive user community, was helpful.

Integrations: Approximately 86% of users reviewing data sources were satisfied with its wide connectivity.

Ease of Use: About 84% of users who cited usability praised the platform for self-service BI.

Functionality: Around 80% of the reviews that mentioned features praised it for ETL and data visualization.

Data Visualization: About 66% of the users discussing dashboards were satisfied with its interactive displays that allowed them to dig deep.

Learning Curve: It needs extensive learning to understand advanced tools and different aspects, as observed by almost 75% of reviewers mentioning training.

Cost: More than 90% of users referencing the price remarked that the product is a bit expensive.

Slow Operation: The system runs slow at times while using huge or complex data sets, and needs to restart, as observed by 92% of reviews on this topic.

Cost: About 87% of users who mentioned pricing found the tool expensive.

Performance: Around 86% of users citing speed said it lagged when processing large and complex datasets.

Training: Approximately 69% of users who discussed adoption said there was a significant learning curve.

Customization: Around 65% of users who mentioned the freedom to design dashboards said the tool offered limited options.

SPSS Statistics is a point-and-click data analysis software that allows non-technical users to leverage advanced statistical analysis. Users praised its user-friendly, visually appealing interface. Many reviews also appreciated how easy it is to use and proof syntax, along with the extensive help documentation available for better understanding. Despite its ease of use, a majority found that using advanced tools involved a steep learning curve. Additionally, its cost runs on the high side and processing large amounts of information slows down its performance, as observed by most reviewers. It’s a good fit for students, data scientists and companies that want to analyze data sets but don’t have the technical resources and expertise to use a more advanced tool.

Qlik Sense focuses on independent data analysis for enterprises with advanced tools that include AI, natural language processing and automation. User reviews praise it for its associative engine, interactive visualizations and sophisticated analytics.Its dataset-linking functionality gets my vote as the most significant differentiator since it makes data modeling seamless and saves time. In comparison, manually linking tables in Tableau and Power BI feels like a huge task.It supports fewer features out of the box (69%) compared to Tableau (72%) and Power BI (74%), but this could be intentional. Qlik has ready-to-go modules for analytics, automation and printing, so keeping it lean is a smart vendor move. Users should be aware that additional modules will cost extra, though.Qlik Sense SaaS is multi-cloud, so unless the admin assigns separate workspaces, your users won’t be able to create personal dashboards — everything is shared otherwise. Some users said the platform slowed when processing large workloads, which is a common issue with many other platforms. Assess your need for speed before committing to a purchase.If upgrading from QlikView, you’ll need to create new objects initially, as both platforms have different architectures. However, the vendor assists in seamless migration with the Qlik Analytics Modernization program.Overall, Qlik Sense is an efficient platform that offers many analysis capabilities worth considering. We recommend checking it out if you’re looking for an alternative to Power BI, entrenched in Microsoft technology, or Tableau, with its emphasis on visualization.

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