Power BI and Qlik dominate most BI conversations we have with South African businesses, and we have covered where Power BI and Qlik each fit. But they are not the only serious options, and for some businesses neither is the best match. Three others come up often, each built for a distinctly different job.

Tableau was built for people who think visually and want to explore data by dragging it into pictures. Google's Data Studio was built to report on the data Google already holds for you, mostly marketing. Metabase was built to give a small, technical team simple BI without a licence bill. Knowing which job you have is most of the decision.

Tableau: visual analysis, done properly

Tableau's reputation rests on how fluidly it turns data into charts. An analyst drags a field onto the canvas and the tool chooses a sensible visual, then lets them pivot, split and drill until the pattern appears. The results are usually the most polished of any mainstream tool, which is why Tableau is popular wherever data has to be presented convincingly to executives, boards or the public.

Where it fits

  • Skilled analysts who spend their day exploring and presenting data.
  • Salesforce businesses. Tableau is owned by Salesforce, and the integration with Salesforce data and its AI features is a genuine advantage there.
  • Visual storytelling, where the quality of the chart matters as much as the number.

What to weigh

Tableau is priced per user by role. On Tableau Cloud's standard edition the list prices at the time of writing are roughly US$75 a month for a Creator, who builds; US$42 for an Explorer, who can modify existing content; and US$15 for a Viewer. A team of builders is therefore expensive, while a wide audience of viewers is more manageable. Data preparation is a separate tool, Tableau Prep, and Tableau assumes your data is reasonably organised before it arrives.

Google Data Studio: free, and at home with Google data

Google's free reporting tool has had a few names. It started as Data Studio, became Looker Studio in 2022, and in 2026 Google changed it back to Data Studio. Whatever the name, it does one job very well: turning data Google already holds, such as Google Analytics, Google Ads, Search Console, Sheets and BigQuery, into shareable, live reports at no cost.

Where it fits

  • Marketing and website reporting. Traffic, campaigns, conversions and ad spend in one place, refreshed automatically.
  • Small teams on Google Workspace who keep operational data in Google Sheets.
  • Client-facing reports for agencies, who can share a live link instead of a monthly PDF.

What to weigh

Outside Google's own sources, connecting to systems such as an ERP, an accounting package or an on-premise database often needs a paid third-party connector or an intermediate step such as loading the data into BigQuery first. Modelling is basic compared with Power BI or Qlik, and large datasets can make reports slow. A paid Pro edition adds team management and support, but not deeper analysis. It is an excellent free reporting layer, not a full BI platform.

Metabase: lean, open-source BI

Metabase is open-source software you can run on your own server. Point it at a database and non-technical users can build simple questions through a point-and-click builder, while people who know SQL can write queries directly. For a small business with its data already in a proper database, it is one of the quickest ways to get useful dashboards in front of the team.

Where it fits

  • Businesses whose data already lives in a database, such as PostgreSQL or MySQL, behind their own applications. See our guide to choosing a database.
  • A technical person on the team who can host and maintain it.
  • Tight budgets with many viewers. The self-hosted edition has no per-user licence fees.
  • Embedding dashboards into your own customer portal or app, which its paid tiers support well.

What to weigh

"Free" means free to license. You still pay for a server, updates, backups, security and someone's time. Metabase's hosted plans, from around US$100 a month for a small team at the time of writing, remove that work. It is also deliberately simpler than the big platforms: there is no heavy data-modelling layer, so messy data has to be cleaned before it arrives, usually in the database itself.

Do not forget Excel

For a business with a handful of people and one main system, Excel with Power Query and a pivot table, refreshed from a direct connection to the source rather than re-typed, solves a surprising share of reporting needs. It is not a BI platform, but it is a perfectly respectable first step, and the skills carry straight over if you move to Power BI later.

Same rule, different tools

Whichever of these you pick, the hard part is the same as with Power BI or Qlik: agreed definitions, clean data and a short list of questions the business actually needs answered. A free tool on well-understood data beats an expensive one on data nobody trusts, and dashboards that get used are built around decisions, not around whatever the tool happens to draw well.