Tableau is respected for good reason. It is excellent at helping people explore data visually, and a skilled analyst can do remarkable things with it. But many mid-market companies end up looking for something else after a year or two, and the reason is rarely that Tableau cannot draw a chart.
If you are weighing alternatives, the useful question is what problem you are actually trying to solve. Different problems point to very different answers.
Why companies start looking
The most common reason is cost as the audience grows. Tableau licenses by role, with different prices for the people who build, the people who explore and the people who only view, so a tool that was affordable for five analysts can look very different when two hundred managers need access.
The second is the work of running it. Someone has to administer the server or the cloud site, manage who can see which workbooks, and keep everything working when data sources change.
The third is workbook sprawl and key-person risk. Over time there are hundreds of workbooks, several versions of the same number, and one person who understands how the important ones work.
And sometimes the business simply wanted dashboards and bought an analysis tool. Those are not the same thing.
What Tableau does well
Be fair to it. Tableau is strong at visual exploration, flexible for analysts who want to follow a question wherever it leads, and backed by a large community. If your analysts live in it and love it, the answer may be to keep it and fix the surrounding problems instead of replacing it.
Match the alternative to the real problem
If the problem is the cost of many readers, look at models that are priced by project or capacity instead of per viewer, or at a managed platform where a partner builds and hosts the dashboards.
If the problem is that nobody has time to maintain the workbooks, you are really choosing a different operating model, not a different tool. Our piece on managed BI versus self-service BI goes through that choice.
If you already live in Microsoft 365 and want tight integration, Power BI is the obvious candidate. If you want control and have technical staff, open-source tools such as Metabase and Apache Superset deserve a look.
And if the real problem is that the numbers disagree, no tool will fix it. We wrote about why the data layer comes first.
Questions to answer before you switch
How many people actually build, and how many only read? Pull the usage statistics: which workbooks are opened every week, and which have not been touched in months? What sits underneath them, and are the definitions written down anywhere? What would it cost in time to rebuild the ones that matter? Who will own the new setup in two years?
Most companies find that a small fraction of their workbooks account for nearly all the use. That is good news, because it is the only part you have to move.
What moving off Tableau involves
List the workbooks people really use and retire the rest. For each one that stays, write down what it is for, who reads it and which numbers it shows. Check which calculations live in the data layer and which are buried in individual workbooks, because the second kind has to be rebuilt carefully. Then rebuild the important ones in the new platform and run both side by side for a period, comparing totals, before switching anyone over.
For the questions to put to any vendor and a fair way to compare options, see Power BI alternatives for mid-market companies. The same method applies to Tableau.
Where Horizon fits
Horizon is our managed BI platform. It suits companies where most people need to read reliable numbers and nobody wants to run the platform. It does not give your staff a tool to build their own reports, so companies with analysts who explore often keep a self-service tool for them and move everyone else to a managed layer.
If you are weighing a move away from Tableau and want an honest view of which direction fits, reach out. We build in Tableau and Power BI as well, so we have no reason to push you either way.
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