

SAS Visual Analytics and Qlik Sense compete in the data analytics and business intelligence category. While SAS offers strong statistical analysis integration, Qlik Sense's user-friendly interface and self-service capabilities give it an edge in accessibility and ease of data exploration.
Features: SAS Visual Analytics provides robust statistical analysis, machine learning integration, and advanced data visualization capabilities. It is favored for its credibility in handling large datasets. Qlik Sense offers intuitive drag-and-drop interfaces, an associative data model, and excels in self-service BI, enabling users of varying technical skills to derive insights quickly.
Room for Improvement: SAS Visual Analytics can improve in cost structure, installation complexity, and the flexibility of forecasting tools. Users often seek better data management capabilities. Qlik Sense could enhance its error handling, customization options, and integration with external tools. Improved ETL capabilities and a more straightforward scripting language are also desirable.
Ease of Deployment and Customer Service: SAS Visual Analytics supports on-premises and cloud deployments but shows varying customer service feedback. Technical support experiences are inconsistent. Qlik Sense is predominantly on-premises with some private cloud use and receives positive reviews for responsive technical support.
Pricing and ROI: SAS Visual Analytics tends to be expensive, with costs increasing due to additional components and licensing complexity, appealing mainly to large enterprises. Qlik Sense offers competitive and flexible pricing suitable for scaling enterprises, providing rapid ROI through its efficient analytics tools.
In my organization, we moved from OBI to Qlik Sense due to limitations with OBI, resulting in very high ROI.
The enterprise subscription offers more benefits, ensuring valuable outcomes.
While tech support is comprehensive, the stability of Qlik Sense means I generally do not need it.
Technical support requires improvement.
In Turkey, the consultant firms are very professional, and they support you.
They provide callbacks to ensure clarity and resolution of any queries.
It performs well in terms of performance and load compared to others.
Qlik Sense helps analyze data and can handle larger amounts of data compared to other BI tools.
It is easily scalable with Microsoft, with other services Azure and other tools they provide.
The stability is very good.
SAS Visual Analytics is stable and manages data effectively without crashing.
Power BI has better visualizations and interactions with updates in 2023 that provide ease of use.
Providing an API feature to access data from the dashboard or QEDs could be beneficial.
There should be more comprehensive documentation and explanatory videos available to help clients understand and calculate capacity-based pricing, making it easier to predict costs before implementing Qlik Sense Cloud.
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI.
It is just about how expensive it is to implement.
Compared to Power BI, it is definitely costly.
Among the BI tools and data analytics tools, Qlik is the most expensive.
From an end-user perspective, it's convenient and performance-oriented, providing something meaningful from all the organization's data.
The true power is in the ability to connect with any database, get the data, and work with the data.
It is a single product that I can use as an ETL database, BI, and more.
The ability to query information from our Excel data into SAS to view specific data is invaluable.
| Product | Mindshare (%) |
|---|---|
| Qlik Sense | 5.2% |
| SAS Visual Analytics | 1.7% |
| Other | 93.1% |
| Company Size | Count |
|---|---|
| Small Business | 34 |
| Midsize Enterprise | 40 |
| Large Enterprise | 88 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 8 |
| Large Enterprise | 19 |
Qlik Sense offers drag-and-drop dashboard creation, multi-data source integration, and self-service analytics. Users benefit from associative data modeling and real-time insights. The platform enhances quick deployment across any device with its flexibility and ease of use.
Qlik Sense provides rapid dashboard creation and seamless multi-data source integration, supporting real-time analytics and high-speed ETL capabilities. Users enjoy advanced visualizations and natural language processing within an intuitive interface. The solution's in-memory engine ensures fast data processing while offering flexibility and quick deployment on all devices. Its open API facilitates extensive customization and integration with chatbots and third-party extensions.
What are the key features of Qlik Sense?In industries such as finance and sales, Qlik Sense enables interactive data analyses and dashboard creation across departments. It supports business intelligence for financial reporting, sales analysis, and decision-making. By automating reporting and combining data from multiple sources, it facilitates users in generating insights and enhancing data accessibility for informed business decisions.
SAS Visual Analytics offers rapid data processing and advanced forecasting with interactive reporting and visualization. It integrates with diverse data sources, enhancing scalability and automation, enabling data-driven decisions and extensive insight generation.
SAS Visual Analytics provides comprehensive data handling through its advanced reporting and visualization features. Businesses benefit from its ability to process data quickly and deliver insights via interactive dashboards and well-structured reports. Although it faces performance challenges with large datasets and has a complex installation process, it supports both cloud and on-premises deployments. Users can leverage its capabilities in data extraction, transformation, and loading, making it a valuable tool for finance, statistical analysis, and enterprise reporting. Despite some gaps in machine learning and integration with newer data stores, its scalability and flexibility in data management remain key advantages.
What are the most significant features of SAS Visual Analytics?SAS Visual Analytics is implemented across sectors such as insurance and education for tasks like building dashboards and performing business intelligence. It is extensively used in finance and statistical analysis, turning complex data sets into actionable insights, supporting both cloud and on-premises environments.
We monitor all Data Visualization reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.