Choosing a BI tool: Power BI, Tableau, Looker or Qlik
The choice of BI tool matters more than most companies expect. Get it wrong and the team quietly goes back to Excel, while the right choice gets people opening dashboards each morning. Features matter less than you would think. What decides it is fit with your existing systems, what your team already knows and the realistic cost over three years.
Our own position is simple: we build in whichever tool you already have. If you are starting fresh, here is how we see the options.
Power BI
Power BI is the default for any business already on Microsoft 365. Entry-level licences are cheap or bundled, the integration with Excel and Teams is excellent, and plenty of people know it. The weak spots are advanced visuals, which feel clunky next to Tableau, the DAX formula language, which takes time to learn properly, and governance at scale, which gets messy without a dedicated admin. It suits Microsoft-heavy companies whose reporting is led by finance.
Tableau
Tableau is still the standard for visual quality. Its dashboards look good consistently, analysts enjoy using it, and its community and public gallery are a genuine teaching resource. It is also among the most expensive per user, and that cost grows with headcount. It suits companies where the dashboard itself is the deliverable and quality matters more than cost.
Looker
Looker is Google's tool and works best when your data lives in BigQuery. Its LookML modelling layer enforces consistency in a way the others don't, because a metric is defined once and every report uses that definition. The catch is that the model needs discipline and engineering time, pricing is negotiated rather than published, and it feels awkward outside Google Cloud. Looker Studio, the free sibling, is fine for lighter marketing reporting.
Qlik
Qlik Sense is built around an associative engine, so when someone selects a customer or a product, every chart shows what is linked to it and what is excluded. That makes it strong for exploring data when the question isn't known in advance. Costs sit in a similar range to Tableau, its load scripting has its own learning curve, and in some markets it is harder to hire for than Power BI. If you already run Qlik and your team is comfortable with it, there is usually no reason to leave.
Open-source and self-hosted options
Metabase and Apache Superset are both open source, so there is no licence fee and you pay only for hosting and upkeep. Metabase is quick to set up and lets non-technical users build simple questions without SQL. Superset is more powerful but needs an engineer to run it well. A custom front end on your own server is another route, with no per-seat fee and code you own, and with AI doing much of the drafting it no longer takes months to build. It makes most sense when licence costs are high compared with a small set of dashboards.
How to pick
- Already on Microsoft 365: start with Power BI.
- Visual quality is the priority and the budget allows it: Tableau.
- Data on Google Cloud and a team that models carefully: Looker.
- Already on Qlik and happy with it: stay where you are.
- None of the above, or tired of paying per seat: an open-source or self-hosted front end.
Try not to choose because a vendor reached you first or because of an analyst ranking.
Plan for a move later
Many teams outgrow their first tool, so it pays to think about the exit early. Moving between tools usually means rebuilding the dashboards, since DAX, Tableau calculations, LookML and Qlik script don't translate into each other. Leaving Looker is the hardest, because so much of the value sits in its model. Where you can, keep business logic in the warehouse as SQL views that any tool can read, and avoid leaning heavily on tool-specific features in the first year.
What to do this week
Pick the tool, set it up and ship one dashboard the team uses every morning. The first one builds the habit, and the rest come more easily. We can help with that first dashboard in any of these tools, with a wireframe within 48 hours, a first build in 7 days and a live dashboard in about 10.
If you are weighing up tools or about to hire someone to run one, send us a note and we will give you a straight view on what fits.