After 14 years with Tableau, I knew the platform deeply. It had been my primary environment for visualization and reporting through much of my career. I also spent years in the Tableau community, including three as an Ambassador. The DataFam was a meaningful part of my professional world for a long time.
Over the last few years, though, performance had become a recurring source of frustration, especially with senior executives. When reporting was slow to load, getting people to come back to it was difficult.
The community around Tableau was changing too. After Salesforce acquired the company in 2019, I saw less of the energy that had drawn me into it in the first place. People shared less work publicly, and many of the people I knew there eventually moved to other tools or became less active.
I started looking elsewhere, but another BI platform still meant learning a new environment and rebuilding reporting I already had. After so many years with Tableau, that was a meaningful amount of work. None of the alternatives gave me enough upside to justify it, so I stayed with Tableau while I kept looking.
Earlier this year, AI-assisted development in Replit opened another path. I could get a working application in front of stakeholders quickly, allowing them to test something real instead of reacting to a mockup. Their feedback could go straight into the next version while the use case was still taking shape.
My boss saw an early version and immediately asked when it could replace Tableau. Other people saw the application and started asking for more.
That response was encouraging, but it wasn’t enough to move established reporting. I needed confidence in the numbers first.
I ran the Replit application alongside Tableau and compared the numbers from both against the underlying data. Once they checked out, I moved the reporting over piece by piece.
Some executives who hadn’t used Tableau much were now using the Replit application regularly. It loaded quickly, and the mobile experience worked much better for people who wanted to check numbers away from their desks.
The business need for the reporting hadn’t changed. The experience of reaching it had, and usage changed with it.
I had already known Tableau’s performance was costing me something. Now I had evidence of how much that friction had been affecting behavior.
Once the migration was finished, I retired my Tableau reports and haven’t looked back.
Switching costs are easy to see because they arrive as work you have to do. You have to learn the new environment and rebuild what you already have.
The cost of staying can be quieter. In my case, it showed up in the gap between reporting being available and executives choosing to use it.
I could see that gap much more clearly once I had something to compare against.