

Qlik Sense and Sigma compete in the business intelligence space. Qlik Sense seems to have an edge in data visualization and real-time analytics due to its advanced features, while Sigma stands out for intuitive data exploration, attracting diverse users.
Features: Qlik Sense offers robust data integration, an associative data model, and advanced analytics capabilities. Sigma features a spreadsheet-like interface, cloud-native architecture, and ease of collaboration.
Ease of Deployment and Customer Service: Qlik Sense provides flexibility with cloud and on-premise deployment options and extensive support. Sigma simplifies deployment with its cloud-native design, ensuring seamless updates and smooth setup.
Pricing and ROI: Qlik Sense typically has a higher setup cost but delivers substantial ROI with its complex features. Sigma offers quick ROI with a lower upfront cost, making it attractive for those prioritizing cost efficiency.
In my organization, we moved from OBI to Qlik Sense due to limitations with OBI, resulting in very high ROI.
It's essential for everything data-related within our company.
I have seen a return on investment with Sigma; we already said that it saves about a quarter, it gets me to answers about 25% faster.
I have definitely seen a return on investment through time saving because once the dashboards are built, they are built.
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.
Their support I really think is a 10 out of 10.
The support staff are all professional users of the product itself and they are available almost 24/7 and helped me to come up with solutions to all of the problems that I had.
As Sigma is a cloud platform, you do not need to do all that maintenance work.
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.
Sigma seemed to scale just fine with our large data sets and could handle anything we threw at it.
Permissions are easily set, so you only get to see what you need to see and you can share what needs to be shared.
The stability is very good.
We did not face typical errors during our project with Sigma.
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.
The main improvement needed is in data modeling capabilities.
Sigma lacks a versioning feature to track changes.
It would be great if there was a way for me to create reports without relying on a data analyst.
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.
The pricing of Sigma is a concern, as it restricts our ability to provide more users with report-creating capabilities due to the high cost of admin or report creator licenses.
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.
Real-time data analysis can be performed, and collaboration with other team members is seamless.
The use of Sigma in decision-making, presentations to customers, and reporting to investors showcases its value in handling data-related tasks.
Sigma has positively affected my organization by saving us time in accessing information, which ultimately gets us to complete projects faster.
Sigma has positively impacted my organization because I think it has been a huge impact, and we use it for all our reporting and our dashboards for tracking.
| Product | Mindshare (%) |
|---|---|
| Qlik Sense | 4.9% |
| Sigma | 1.7% |
| Other | 93.4% |

| Company Size | Count |
|---|---|
| Small Business | 34 |
| Midsize Enterprise | 40 |
| Large Enterprise | 89 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 3 |
| Large Enterprise | 2 |
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.
Sigma enhances data tasks with an Excel-like interface, encouraging collaboration and non-technical user engagement. Its strengths include handling vast datasets and facilitating real-time data exploration, appealing to industries aiming for data-driven decision-making.
Sigma stands out with its capabilities for real-time collaboration and ease of use due to its Excel-inspired interface. It supports engagement with large datasets and prioritizes strong data governance. Key features include live queries on cloud databases and seamless integration with Snowflake. Its AI capabilities and self-service access help users perform detailed reporting and pivot table creation from extensive datasets, significantly affecting organizational efficiency and decision-making processes.
What are Sigma's most important features?Sigma is predominantly used for creating dashboards, reporting, and data visualization. It assists in real-time data exploration and ad hoc analysis, connecting seamlessly with Snowflake for consistent data views. Sales teams use it for performance comparison dashboards, while marketing teams apply it for data migration assessments. Organizations leverage its comprehensive reporting and analytics for informed decision-making.
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