

Find out what your peers are saying about Microsoft, Salesforce, Plotly and others in Reporting.
Ad-hoc analyses that used to take days have been reduced significantly, with one case where the team saved seven to ten days per month.
My team moved from a six-month dev cycle to two weeks.
Using Plotly Dash Enterprise built automated portals connected directly to localized storage saves time to insight—dropping it to under five minutes—and saves engineers hundreds of hours annually.
In my organization, we moved from OBI to Qlik Sense due to limitations with OBI, resulting in very high ROI.
They assist with installation, deployment, performance tuning, scalable architecture, and troubleshooting, which are valuable for initial setups and production-ready configurations.
Unlike many software companies where the first line of support is non-technical, Plotly splits it into two expert groups: Install Infra group and Solution group.
I have noticed specific outcomes from using Plotly Dash Enterprise.
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.
We can scale by adding more instances to handle multiple users efficiently, with the ability to support hundreds to thousands of users with proper backend performance control.
For infrastructure scalability, we are thinking about Docker or Kubernetes while also utilizing Redis for a shared state, making auto-scaling based on CPU or RAM usage available.
Plotly Dash Enterprise provides a strong foundation for scalability, but the real performance comes from combining the platform with a good design system.
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.
It allows us to build, design, and deploy production-grade applications independently in Python.
Plotly Dash Enterprise is stable.
Plotly Dash Enterprise is stable in my experience, being reliable for implementation and deployment to production.
The stability is very good.
A more guided user interface and low-code features would help with onboarding for beginners and non-technical users, making the platform more accessible.
There should be a focus on mobile responsiveness and shifting from standard CSS to Dash Mantine Components and Dash Bootstrap while utilizing grid systems for large data bottlenecks.
I wish for features such as auto detection of data and auto analysis to be included.
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 cost can be significant, such as tens of thousands per year, but it includes features such as security, deployment, and support, which justifies it for a larger team.
The enterprise price can reach around one hundred thousand dollars per year, varying according to organizational size.
The setup cost was nothing and is fine.
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 built-in handling of Kubernetes and Docker in Plotly Dash Enterprise makes our workflow easier because we only need to configure the dashboard once on how the data should look.
The control access feature helps my team by using authentication code, so we can ensure only the people who should have access can view the dashboard.
The centralized data platform holds dashboards and supports version control and app management, along with interactive capabilities such as KPIs and data pipelines connecting databases, ETL systems, and ML models, fitting well into modern data stacks.
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.
| Product | Mindshare (%) |
|---|---|
| Plotly Dash Enterprise | 1.6% |
| Tableau Enterprise | 14.1% |
| Microsoft Power BI | 13.2% |
| Other | 71.1% |
| Product | Mindshare (%) |
|---|---|
| Qlik Sense | 4.8% |
| Tableau Enterprise | 9.7% |
| Domo | 3.7% |
| Other | 81.8% |

| Company Size | Count |
|---|---|
| Small Business | 23 |
| Midsize Enterprise | 4 |
| Large Enterprise | 21 |
| Company Size | Count |
|---|---|
| Small Business | 34 |
| Midsize Enterprise | 40 |
| Large Enterprise | 88 |
Plotly Dash Enterprise is a commercial platform designed for creating and deploying data visualization applications. It provides advanced tools and infrastructure to simplify the process of building interactive dashboards and analytics applications.
Plotly Dash Enterprise enables professionals to harness the power of Dash framework for enterprise-level scalability and deployment. By integrating seamlessly with existing workflows, it supports easy collaboration while ensuring robust data security. Users appreciate its ability to streamline the development of sophisticated visualizations that can be customized to meet specific analytical needs.
What are the standout features?Plotly Dash Enterprise is employed in finance for real-time analytics dashboards, in healthcare for patient data visualization, and in marketing for customer insights. Its adaptability and ease of integration make it suitable across diverse industry applications where visual data analysis is critical.
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.
We monitor all Reporting 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.