Sprinkle Analytics is a good alternative to PowerBI due to its ability to allow everyone to get insight using SQL or drag-and-drop
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Reports and dashboards become slow when working with large volumes of data or complex DAX calculations, leading to frustrating user experience and limited scalability.
Data modelling requires specialised knowledge of Microsoft's proprietary language DAX. DAX is powerful but non-intuitive for new users. Complex ETL workflows may require Power Query/M language skills. This leads to slower onboarding for new users and reliance on experts for maintenance. Analysts cannot use standard query languages like SQL. They have to learn a new language.
Complex authentication and token management. Embedding reports requires generating Embed Tokens via Azure AD, and managing Master user or service principal auth, Row-level security (RLS) context. This leads to additional security and infrastructure overhead, especially when scaling to many users.
Power BI require planning (model optimization, governance processes, licensing strategy, etc.) As you scale, you will get stuck with Microsoft’s infrastructure, it’s quite cheap in the beginning when your goal is just visualizations but the cost will rise dramatically later when you scale up.
With Power BI, your data analysts have to work with Power BI on a Windows machine, then publish on the cloud.
Power BI only supports just a few limited data sources for real-time connection. Power BI limits the number of scheduled refreshes per day.
"Swiggy’s hyperlocal time-critical business model requires quick and accurate insights.Therefore, most business and product teams need to do analyses by themselves. To make this happen, we needed a no-code analysis platform that was feature-rich and easy to use at the same time. Sprinkle has served that purpose very well for us. Today, we have hundreds of business and product users running thousands of analyses every month without the need for any analysts."
"The data team has been able to reduce the data dependency on them. Through the self-serve analytics on Sprinkle, the business & product users are able to get the required data & visualisations with ease themselves. Once the models are set up, it is very easy for users to build on new dashboards, which is very helpful in catering to ad-hoc requests."
"The tasks like building the data pipeline, which could have easily taken up to 2 weeks, can now be achieved with Sprinkle in a day or so. The reporting tasks that could have easily taken 4 to 8 hours can be done through automation on Sprinkle in half an hour, which is a game-changer for sales."
"A great data integration tool which helped our company bring together different data sources like MySQL, Mongodb, Segment and S3. It had all we wanted from a data integration and management platform at one place. Moreover the Sprinkle team is really supportive and flexible in their client support and always available even for smaller questions."
"Sprinkle helped our analytics team to focus on building models instead of worrying about data. Proactive support from sprinkle makes it easy to implement projects faster in our organisation."
